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Context Studios MCP

AI agency API: free tools for glossary, comparisons, blog, guides, estimates and consulting

我该使用它吗

质量与安全性

A
描述质量
91%
模式完整度
96%
命名质量
98%
投毒风险
100%
权限匹配度
90%
协议合规性
100%

发现（2）

  • LOWTool 'ai_project_estimator' description lacks action verb在 ai_project_estimator 中
  • LOWTool 'fetch' suggests web access but openWorldHint=false在 fetch 中

基于对工具定义和协议合规性的自动分析。

上下文开销

~8,595token 数（工具定义）
~3.5 KB典型响应大小
对注意力有显著影响（占 128k 上下文窗口的 6.71%）

这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高，可用于其他任务的注意力就越少。

安装

一键安装

将以下内容添加到你的 `claude_desktop_config.json` 文件中：

{
  "mcpServers": {
    "mcp": {
      "url": "https://mcp.contextstudios.ai/api/public/mcp"
    }
  }
}

远程端点

https://mcp.contextstudios.ai/api/public/mcpstreamable-http

它能做什么

工具清单

工具（28）

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢ai_project_estimator(projectDescription, projectType)

Interactive AI project estimation tool.

输入模式

{
  "type": "object",
  "properties": {
    "projectDescription": {
      "description": "Natural-language description of the project, workflow, product idea, or AI use case to estimate.",
      "minLength": 10,
      "examples": [
        "Build an AI support agent that answers customer questions from our help center and escalates edge cases."
      ],
      "type": "string"
    },
    "projectType": {
      "description": "Project archetype used by the estimator.",
      "examples": [
        "mvp",
        "ai-agent",
        "automation"
      ],
      "type": "string",
      "enum": [
        "mvp",
        "saas",
        "ai-integration",
        "automation",
        "mobile-app",
        "web-app",
        "ai-agent",
        "data-pipeline"
      ]
    }
  },
  "required": [
    "projectDescription"
  ]
}

输出模式

{
  "type": "object",
  "properties": {
    "success": {
      "type": "boolean",
      "description": "Whether the tool call completed successfully."
    },
    "data": {
      "description": "Structured result payload. Present for responseFormat='v2' tools."
    },
    "meta": {
      "description": "Result metadata such as count, locale fallback, cache scope, or response format."
    },
    "error": {
      "type": "string",
      "description": "Human-readable error message when success is false."
    },
    "count": {
      "type": "number",
      "description": "Number of returned records for list and search tools."
    }
  }
}
🟢blog_explorer(query, tag, language)

Interactive blog browsing interface.

输入模式

{
  "type": "object",
  "properties": {
    "query": {
      "description": "Search query or keyword phrase. Use the user's natural-language topic.",
      "minLength": 2,
      "examples": [
        "MCP server development",
        "Claude vs ChatGPT",
        "AI agent security"
      ],
      "type": "string"
    },
    "tag": {
      "description": "Exact or near-exact blog tag to filter published posts.",
      "examples": [
        "MCP",
        "AI Development"
      ],
      "type": "string"
    },
    "language": {
      "description": "Preferred content language. Supported values are de, en, fr, and it. Some source catalogs may fall back to de or en.",
      "enum": [
        "de",
        "en",
        "fr",
        "it"
      ],
      "default": "en",
      "examples": [
        "en",
        "de"
      ],
      "type": "string"
    }
  }
}

输出模式

{
  "type": "object",
  "properties": {
    "success": {
      "type": "boolean",
      "description": "Whether the tool call completed successfully."
    },
    "data": {
      "description": "Structured result payload. Present for responseFormat='v2' tools."
    },
    "meta": {
      "description": "Result metadata such as count, locale fallback, cache scope, or response format."
    },
    "error": {
      "type": "string",
      "description": "Human-readable error message when success is false."
    },
    "count": {
      "type": "number",
      "description": "Number of returned records for list and search tools."
    }
  }
}
🟢fetch(id)

Fetch the full content of a document by ID returned from the search tool.

输入模式

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "description": "Document ID from search results, e.g. 'blog:de:mein-artikel'"
    }
  },
  "required": [
    "id"
  ]
}

输出模式

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string"
    },
    "title": {
      "type": "string"
    },
    "text": {
      "type": "string"
    },
    "url": {
      "type": "string"
    },
    "metadata": {
      "type": "object"
    },
    "success": {
      "type": "boolean"
    },
    "error": {
      "type": "string"
    }
  }
}
🟢get_blog_posts(query, tag, language, limit)

Search and retrieve published blog posts.

输入模式

{
  "type": "object",
  "properties": {
    "query": {
      "description": "Search query or keyword phrase. Use the user's natural-language topic.",
      "minLength": 2,
      "examples": [
        "MCP server development",
        "Claude vs ChatGPT",
        "AI agent security"
      ],
      "type": "string"
    },
    "tag": {
      "description": "Exact or near-exact blog tag to filter published posts.",
      "examples": [
        "MCP",
        "AI Development"
      ],
      "type": "string"
    },
    "language": {
      "description": "Preferred content language. Supported values are de, en, fr, and it. Some source catalogs may fall back to de or en.",
      "enum": [
        "de",
        "en",
        "fr",
        "it"
      ],
      "default": "en",
      "examples": [
        "en",
        "de"
      ],
      "type": "string"
    },
    "limit": {
      "description": "Maximum number of results to return.",
      "minimum": 1,
      "maximum": 50,
      "default": 5,
      "examples": [
        5,
        10,
        20
      ],
      "type": "number"
    }
  }
}

输出模式

{
  "type": "object",
  "properties": {
    "success": {
      "type": "boolean",
      "description": "Whether the tool call completed successfully."
    },
    "data": {
      "description": "Structured result payload. Present for responseFormat='v2' tools."
    },
    "meta": {
      "description": "Result metadata such as count, locale fallback, cache scope, or response format."
    },
    "error": {
      "type": "string",
      "description": "Human-readable error message when success is false."
    },
    "count": {
      "type": "number",
      "description": "Number of returned records for list and search tools."
    }
  }
}
🟢get_company_info(sections)

Retrieve comprehensive information about Context Studios including company overview, tech stack, differentiators, legal info, and contact details.

输入模式

{
  "type": "object",
  "properties": {
    "sections": {
      "description": "Which sections to return. Defaults to ['overview']",
      "examples": [
        [
          "overview",
          "contact"
        ],
        [
          "overview",
          "contact",
          "tech_stack",
          "differentiators",
          "legal"
        ]
      ],
      "type": "array",
      "items": {
        "type": "string",
        "enum": [
          "overview",
          "contact",
          "tech_stack",
          "differentiators",
          "legal"
        ]
      }
    }
  }
}

输出模式

{
  "type": "object",
  "properties": {
    "success": {
      "type": "boolean",
      "description": "Whether the tool call completed successfully."
    },
    "data": {
      "description": "Structured result payload. Present for responseFormat='v2' tools."
    },
    "meta": {
      "description": "Result metadata such as count, locale fallback, cache scope, or response format."
    },
    "error": {
      "type": "string",
      "description": "Human-readable error message when success is false."
    },
    "count": {
      "type": "number",
      "description": "Number of returned records for list and search tools."
    }
  }
}
🟢get_comparison(slug, language, responseFormat)

Retrieve a detailed comparison between two AI tools.

输入模式

{
  "type": "object",
  "properties": {
    "slug": {
      "description": "Exact public slug for a blog post, guide, location page, comparison, glossary term, CMS page, or landing page.",
      "minLength": 2,
      "examples": [
        "claude-vs-chatgpt",
        "convex-vs-supabase"
      ],
      "type": "string"
    },
    "language": {
      "description": "Preferred content language. Supported values are de, en, fr, and it. Some source catalogs may fall back to de or en.",
      "enum": [
        "de",
        "en",
        "fr",
        "it"
      ],
      "default": "en",
      "examples": [
        "en",
        "de"
      ],
      "type": "string"
    },
    "responseFormat": {
      "description": "Response shape. Use v2 for agent-friendly {success,data,meta,error}; legacy remains available for older clients.",
      "enum": [
        "legacy",
        "v2"
      ],
      "default": "legacy",
      "examples": [
        "v2"
      ],
      "type": "string"
    }
  },
  "required": [
    "slug"
  ]
}

输出模式

{
  "type": "object",
  "properties": {
    "success": {
      "type": "boolean",
      "description": "Whether the tool call completed successfully."
    },
    "data": {
      "description": "Structured result payload. Present for responseFormat='v2' tools."
    },
    "meta": {
      "description": "Result metadata such as count, locale fallback, cache scope, or response format."
    },
    "error": {
      "type": "string",
      "description": "Human-readable error message when success is false."
    },
    "count": {
      "type": "number",
      "description": "Number of returned records for list and search tools."
    }
  }
}
🟢get_featured_glossary_terms(language, limit, responseFormat)

Get a curated list of featured AI terms.

输入模式

{
  "type": "object",
  "properties": {
    "language": {
      "description": "Preferred content language. Supported values are de, en, fr, and it. Some source catalogs may fall back to de or en.",
      "enum": [
        "de",
        "en",
        "fr",
        "it"
      ],
      "default": "en",
      "examples": [
        "en",
        "de"
      ],
      "type": "string"
    },
    "limit": {
      "description": "Maximum number of results to return.",
      "minimum": 1,
      "maximum": 50,
      "default": 10,
      "examples": [
        5,
        10,
        20
      ],
      "type": "number"
    },
    "responseFormat": {
      "description": "Response shape. Use v2 for agent-friendly {success,data,meta,error}; legacy remains available for older clients.",
      "enum": [
        "legacy",
        "v2"
      ],
      "default": "legacy",
      "examples": [
        "v2"
      ],
      "type": "string"
    }
  }
}

输出模式

{
  "type": "object",
  "properties": {
    "success": {
      "type": "boolean",
      "description": "Whether the tool call completed successfully."
    },
    "data": {
      "description": "Structured result payload. Present for responseFormat='v2' tools."
    },
    "meta": {
      "description": "Result metadata such as count, locale fallback, cache scope, or response format."
    },
    "error": {
      "type": "string",
      "description": "Human-readable error message when success is false."
    },
    "count": {
      "type": "number",
      "description": "Number of returned records for list and search tools."
    }
  }
}
🟢get_glossary_by_tech_stack(techStack, language, limit, responseFormat)

Filter glossary terms by technology provider or stack.

输入模式

{
  "type": "object",
  "properties": {
    "techStack": {
      "description": "Technology provider or stack name to filter glossary terms.",
      "minLength": 2,
      "examples": [
        "Claude",
        "OpenAI",
        "Convex"
      ],
      "type": "string"
    },
    "language": {
      "description": "Preferred content language. Supported values are de, en, fr, and it. Some source catalogs may fall back to de or en.",
      "enum": [
        "de",
        "en",
        "fr",
        "it"
      ],
      "default": "en",
      "examples": [
        "en",
        "de"
      ],
      "type": "string"
    },
    "limit": {
      "description": "Maximum number of results to return.",
      "minimum": 1,
      "maximum": 50,
      "default": 10,
      "examples": [
        5,
        10,
        20
      ],
      "type": "number"
    },
    "responseFormat": {
      "description": "Response shape. Use v2 for agent-friendly {success,data,meta,error}; legacy remains available for older clients.",
      "enum": [
        "legacy",
        "v2"
      ],
      "default": "legacy",
      "examples": [
        "v2"
      ],
      "type": "string"
    }
  },
  "required": [
    "techStack"
  ]
}

输出模式

{
  "type": "object",
  "properties": {
    "success": {
      "type": "boolean",
      "description": "Whether the tool call completed successfully."
    },
    "data": {
      "description": "Structured result payload. Present for responseFormat='v2' tools."
    },
    "meta": {
      "description": "Result metadata such as count, locale fallback, cache scope, or response format."
    },
    "error": {
      "type": "string",
      "description": "Human-readable error message when success is false."
    },
    "count": {
      "type": "number",
      "description": "Number of returned records for list and search tools."
    }
  }
}
🟢get_glossary_term(slug, language, responseFormat)

Get a detailed explanation of an AI term.

输入模式

{
  "type": "object",
  "properties": {
    "slug": {
      "description": "Exact public slug for a blog post, guide, location page, comparison, glossary term, CMS page, or landing page.",
      "minLength": 2,
      "examples": [
        "model-context-protocol",
        "retrieval-augmented-generation"
      ],
      "type": "string"
    },
    "language": {
      "description": "Preferred content language. Supported values are de, en, fr, and it. Some source catalogs may fall back to de or en.",
      "enum": [
        "de",
        "en",
        "fr",
        "it"
      ],
      "default": "en",
      "examples": [
        "en",
        "de"
      ],
      "type": "string"
    },
    "responseFormat": {
      "description": "Response shape. Use v2 for agent-friendly {success,data,meta,error}; legacy remains available for older clients.",
      "enum": [
        "legacy",
        "v2"
      ],
      "default": "legacy",
      "examples": [
        "v2"
      ],
      "type": "string"
    }
  },
  "required": [
    "slug"
  ]
}

输出模式

{
  "type": "object",
  "properties": {
    "success": {
      "type": "boolean",
      "description": "Whether the tool call completed successfully."
    },
    "data": {
      "description": "Structured result payload. Present for responseFormat='v2' tools."
    },
    "meta": {
      "description": "Result metadata such as count, locale fallback, cache scope, or response format."
    },
    "error": {
      "type": "string",
      "description": "Human-readable error message when success is false."
    },
    "count": {
      "type": "number",
      "description": "Number of returned records for list and search tools."
    }
  }
}
🟢get_guide(slug, locale, responseFormat)

Get a specific guide.

输入模式

{
  "type": "object",
  "properties": {
    "slug": {
      "description": "Exact public slug for a blog post, guide, location page, comparison, glossary term, CMS page, or landing page.",
      "minLength": 2,
      "examples": [
        "ai-agent-security-governance-tools-2026"
      ],
      "type": "string"
    },
    "locale": {
      "description": "Preferred content locale. Supported values are de, en, fr, and it. Some source catalogs may fall back to de or en.",
      "enum": [
        "de",
        "en",
        "fr",
        "it"
      ],
      "default": "en",
      "examples": [
        "en",
        "de"
      ],
      "type": "string"
    },
    "responseFormat": {
      "description": "Response shape. Use v2 for agent-friendly {success,data,meta,error}; legacy remains available for older clients.",
      "enum": [
        "legacy",
        "v2"
      ],
      "default": "legacy",
      "examples": [
        "v2"
      ],
      "type": "string"
    }
  },
  "required": [
    "slug"
  ]
}

输出模式

{
  "type": "object",
  "properties": {
    "success": {
      "type": "boolean",
      "description": "Whether the tool call completed successfully."
    },
    "data": {
      "description": "Structured result payload. Present for responseFormat='v2' tools."
    },
    "meta": {
      "description": "Result metadata such as count, locale fallback, cache scope, or response format."
    },
    "error": {
      "type": "string",
      "description": "Human-readable error message when success is false."
    },
    "count": {
      "type": "number",
      "description": "Number of returned records for list and search tools."
    }
  }
}
🟢get_location_page(slug, locale, includeSections, responseFormat)

Get specific location page.

输入模式

{
  "type": "object",
  "properties": {
    "slug": {
      "description": "Exact public slug for a blog post, guide, location page, comparison, glossary term, CMS page, or landing page.",
      "minLength": 2,
      "examples": [
        "locations/berlin",
        "bundeslaender/bayern"
      ],
      "type": "string"
    },
    "locale": {
      "description": "Preferred content locale. Supported values are de, en, fr, and it. Some source catalogs may fall back to de or en.",
      "enum": [
        "de",
        "en",
        "fr",
        "it"
      ],
      "default": "en",
      "examples": [
        "en",
        "de"
      ],
      "type": "string"
    },
    "includeSections": {
      "description": "Whether to include full page sections. Keep false for discovery; use true when the user needs complete page content.",
      "default": false,
      "examples": [
        false,
        true
      ],
      "type": "boolean"
    },
    "responseFormat": {
      "description": "Response shape. Use v2 for agent-friendly {success,data,meta,error}; legacy remains available for older clients.",
      "enum": [
        "legacy",
        "v2"
      ],
      "default": "legacy",
      "examples": [
        "v2"
      ],
      "type": "string"
    }
  },
  "required": [
    "slug"
  ]
}

输出模式

{
  "type": "object",
  "properties": {
    "success": {
      "type": "boolean",
      "description": "Whether the tool call completed successfully."
    },
    "data": {
      "description": "Structured result payload. Present for responseFormat='v2' tools."
    },
    "meta": {
      "description": "Result metadata such as count, locale fallback, cache scope, or response format."
    },
    "error": {
      "type": "string",
      "description": "Human-readable error message when success is false."
    },
    "count": {
      "type": "number",
      "description": "Number of returned records for list and search tools."
    }
  }
}
🟢get_page(slug, locale, includeSections, responseFormat)

Get a specific CMS page by slug and locale.

输入模式

{
  "type": "object",
  "properties": {
    "slug": {
      "description": "Exact public slug for a blog post, guide, location page, comparison, glossary term, CMS page, or landing page.",
      "minLength": 2,
      "examples": [
        "services",
        "pricing",
        "ai-agents"
      ],
      "type": "string"
    },
    "locale": {
      "description": "Preferred content locale. Supported values are de, en, fr, and it. Some source catalogs may fall back to de or en.",
      "enum": [
        "de",
        "en",
        "fr",
        "it"
      ],
      "default": "en",
      "examples": [
        "en",
        "de"
      ],
      "type": "string"
    },
    "includeSections": {
      "description": "Whether to include full page sections. Keep false for discovery; use true when the user needs complete page content.",
      "default": false,
      "examples": [
        false,
        true
      ],
      "type": "boolean"
    },
    "responseFormat": {
      "description": "Response shape. Use v2 for agent-friendly {success,data,meta,error}; legacy remains available for older clients.",
      "enum": [
        "legacy",
        "v2"
      ],
      "default": "legacy",
      "examples": [
        "v2"
      ],
      "type": "string"
    }
  },
  "required": [
    "slug"
  ]
}

输出模式

{
  "type": "object",
  "properties": {
    "success": {
      "type": "boolean",
      "description": "Whether the tool call completed successfully."
    },
    "data": {
      "description": "Structured result payload. Present for responseFormat='v2' tools."
    },
    "meta": {
      "description": "Result metadata such as count, locale fallback, cache scope, or response format."
    },
    "error": {
      "type": "string",
      "description": "Human-readable error message when success is false."
    },
    "count": {
      "type": "number",
      "description": "Number of returned records for list and search tools."
    }
  }
}
🟢get_pricing(budget)

Get services that match a specific budget range.

输入模式

{
  "type": "object",
  "properties": {
    "budget": {
      "description": "Budget band to filter pricing. Use all or omit it for the full pricing overview.",
      "examples": [
        "all",
        "5k_20k",
        "20k_50k"
      ],
      "type": "string",
      "enum": [
        "all",
        "under_5k",
        "5k_20k",
        "20k_50k",
        "50k_plus"
      ],
      "default": "all"
    }
  }
}

输出模式

{
  "type": "object",
  "properties": {
    "success": {
      "type": "boolean",
      "description": "Whether the tool call completed successfully."
    },
    "data": {
      "description": "Structured result payload. Present for responseFormat='v2' tools."
    },
    "meta": {
      "description": "Result metadata such as count, locale fallback, cache scope, or response format."
    },
    "error": {
      "type": "string",
      "description": "Human-readable error message when success is false."
    },
    "count": {
      "type": "number",
      "description": "Number of returned records for list and search tools."
    }
  }
}
🟢get_related_glossary_terms(slug, language, limit, responseFormat)

Get terms that are related to a specific glossary term.

输入模式

{
  "type": "object",
  "properties": {
    "slug": {
      "description": "Exact public slug for a blog post, guide, location page, comparison, glossary term, CMS page, or landing page.",
      "minLength": 2,
      "examples": [
        "my-favorite-mcp-servers-in-january-2026-the-best-tools-for-ai-powered-development",
        "mvp-sprint"
      ],
      "type": "string"
    },
    "language": {
      "description": "Preferred content language. Supported values are de, en, fr, and it. Some source catalogs may fall back to de or en.",
      "enum": [
        "de",
        "en",
        "fr",
        "it"
      ],
      "default": "en",
      "examples": [
        "en",
        "de"
      ],
      "type": "string"
    },
    "limit": {
      "description": "Maximum number of results to return.",
      "minimum": 1,
      "maximum": 50,
      "default": 5,
      "examples": [
        5,
        10,
        20
      ],
      "type": "number"
    },
    "responseFormat": {
      "description": "Response shape. Use v2 for agent-friendly {success,data,meta,error}; legacy remains available for older clients.",
      "enum": [
        "legacy",
        "v2"
      ],
      "default": "legacy",
      "examples": [
        "v2"
      ],
      "type": "string"
    }
  },
  "required": [
    "slug"
  ]
}

输出模式

{
  "type": "object",
  "properties": {
    "success": {
      "type": "boolean",
      "description": "Whether the tool call completed successfully."
    },
    "data": {
      "description": "Structured result payload. Present for responseFormat='v2' tools."
    },
    "meta": {
      "description": "Result metadata such as count, locale fallback, cache scope, or response format."
    },
    "error": {
      "type": "string",
      "description": "Human-readable error message when success is false."
    },
    "count": {
      "type": "number",
      "description": "Number of returned records for list and search tools."
    }
  }
}
🟢get_services(category, serviceId)

List all 11 services offered by Context Studios.

输入模式

{
  "type": "object",
  "properties": {
    "category": {
      "description": "Optional category filter. For services use starter, fasttrack, enterprise, or all. For glossary/comparisons use a published content category.",
      "examples": [
        "all",
        "fasttrack",
        "agentic"
      ],
      "type": "string",
      "enum": [
        "starter",
        "fasttrack",
        "enterprise",
        "all"
      ]
    },
    "serviceId": {
      "description": "Exact service identifier returned by get_services, for example mvp-sprint or ai-agents.",
      "examples": [
        "mvp-sprint",
        "ai-agents"
      ],
      "type": "string"
    }
  }
}

输出模式

{
  "type": "object",
  "properties": {
    "success": {
      "type": "boolean",
      "description": "Whether the tool call completed successfully."
    },
    "data": {
      "description": "Structured result payload. Present for responseFormat='v2' tools."
    },
    "meta": {
      "description": "Result metadata such as count, locale fallback, cache scope, or response format."
    },
    "error": {
      "type": "string",
      "description": "Human-readable error message when success is false."
    },
    "count": {
      "type": "number",
      "description": "Number of returned records for list and search tools."
    }
  }
}
🟢list_comparisons(category, language, limit, responseFormat)

List all available comparisons.

输入模式

{
  "type": "object",
  "properties": {
    "category": {
      "description": "Optional category filter. For services use starter, fasttrack, enterprise, or all. For glossary/comparisons use a published content category.",
      "examples": [
        "all",
        "fasttrack",
        "agentic"
      ],
      "type": "string"
    },
    "language": {
      "description": "Preferred content language. Supported values are de, en, fr, and it. Some source catalogs may fall back to de or en.",
      "enum": [
        "de",
        "en",
        "fr",
        "it"
      ],
      "default": "en",
      "examples": [
        "en",
        "de"
      ],
      "type": "string"
    },
    "limit": {
      "description": "Maximum number of results to return.",
      "minimum": 1,
      "maximum": 500,
      "default": 100,
      "examples": [
        5,
        10,
        20
      ],
      "type": "number"
    },
    "responseFormat": {
      "description": "Response shape. Use v2 for agent-friendly {success,data,meta,error}; legacy remains available for older clients.",
      "enum": [
        "legacy",
        "v2"
      ],
      "default": "legacy",
      "examples": [
        "v2"
      ],
      "type": "string"
    }
  }
}

输出模式

{
  "type": "object",
  "properties": {
    "success": {
      "type": "boolean",
      "description": "Whether the tool call completed successfully."
    },
    "data": {
      "description": "Structured result payload. Present for responseFormat='v2' tools."
    },
    "meta": {
      "description": "Result metadata such as count, locale fallback, cache scope, or response format."
    },
    "error": {
      "type": "string",
      "description": "Human-readable error message when success is false."
    },
    "count": {
      "type": "number",
      "description": "Number of returned records for list and search tools."
    }
  }
}
🟢list_glossary_categories(responseFormat)

List all 10 glossary categories.

输入模式

{
  "type": "object",
  "properties": {
    "responseFormat": {
      "description": "Response shape. Use v2 for agent-friendly {success,data,meta,error}; legacy remains available for older clients.",
      "enum": [
        "legacy",
        "v2"
      ],
      "default": "legacy",
      "examples": [
        "v2"
      ],
      "type": "string"
    }
  }
}

输出模式

{
  "type": "object",
  "properties": {
    "success": {
      "type": "boolean",
      "description": "Whether the tool call completed successfully."
    },
    "data": {
      "description": "Structured result payload. Present for responseFormat='v2' tools."
    },
    "meta": {
      "description": "Result metadata such as count, locale fallback, cache scope, or response format."
    },
    "error": {
      "type": "string",
      "description": "Human-readable error message when success is false."
    },
    "count": {
      "type": "number",
      "description": "Number of returned records for list and search tools."
    }
  }
}
🟢list_guides(locale, query, limit, responseFormat)

List public guides.

输入模式

{
  "type": "object",
  "properties": {
    "locale": {
      "description": "Preferred content locale. Supported values are de, en, fr, and it. Some source catalogs may fall back to de or en.",
      "enum": [
        "de",
        "en",
        "fr",
        "it"
      ],
      "default": "en",
      "examples": [
        "en",
        "de"
      ],
      "type": "string"
    },
    "query": {
      "description": "Search query or keyword phrase. Use the user's natural-language topic.",
      "minLength": 2,
      "examples": [
        "MCP server development",
        "Claude vs ChatGPT",
        "AI agent security"
      ],
      "type": "string"
    },
    "limit": {
      "description": "Maximum number of results to return.",
      "minimum": 1,
      "maximum": 50,
      "default": 10,
      "examples": [
        5,
        10,
        20
      ],
      "type": "number"
    },
    "responseFormat": {
      "description": "Response shape. Use v2 for agent-friendly {success,data,meta,error}; legacy remains available for older clients.",
      "enum": [
        "legacy",
        "v2"
      ],
      "default": "legacy",
      "examples": [
        "v2"
      ],
      "type": "string"
    }
  }
}

输出模式

{
  "type": "object",
  "properties": {
    "success": {
      "type": "boolean",
      "description": "Whether the tool call completed successfully."
    },
    "data": {
      "description": "Structured result payload. Present for responseFormat='v2' tools."
    },
    "meta": {
      "description": "Result metadata such as count, locale fallback, cache scope, or response format."
    },
    "error": {
      "type": "string",
      "description": "Human-readable error message when success is false."
    },
    "count": {
      "type": "number",
      "description": "Number of returned records for list and search tools."
    }
  }
}
🟢list_location_pages(locale, scope, city, service, includeOverviews, ...)

List public location and bundesland pages.

输入模式

{
  "type": "object",
  "properties": {
    "locale": {
      "description": "Preferred content locale. Supported values are de, en, fr, and it. Some source catalogs may fall back to de or en.",
      "enum": [
        "de",
        "en",
        "fr",
        "it"
      ],
      "default": "en",
      "examples": [
        "en",
        "de"
      ],
      "type": "string"
    },
    "scope": {
      "description": "Location-page scope: locations, bundeslaender, or all.",
      "default": "all",
      "examples": [
        "locations",
        "all"
      ],
      "type": "string",
      "enum": [
        "locations",
        "bundeslaender",
        "all"
      ]
    },
    "city": {
      "description": "Optional city filter for location pages.",
      "examples": [
        "Berlin",
        "Hamburg",
        "Munich"
      ],
      "type": "string"
    },
    "service": {
      "description": "Optional service slug or service keyword for location pages.",
      "examples": [
        "mcp-server-development",
        "ai-agents"
      ],
      "type": "string"
    },
    "includeOverviews": {
      "description": "Whether overview landing pages should be included together with city/state subpages.",
      "default": true,
      "examples": [
        true,
        false
      ],
      "type": "boolean"
    },
    "limit": {
      "description": "Maximum number of results to return.",
      "minimum": 1,
      "maximum": 1000,
      "default": 200,
      "examples": [
        5,
        10,
        20
      ],
      "type": "number"
    },
    "responseFormat": {
      "description": "Response shape. Use v2 for agent-friendly {success,data,meta,error}; legacy remains available for older clients.",
      "enum": [
        "legacy",
        "v2"
      ],
      "default": "legacy",
      "examples": [
        "v2"
      ],
      "type": "string"
    }
  }
}

输出模式

{
  "type": "object",
  "properties": {
    "success": {
      "type": "boolean",
      "description": "Whether the tool call completed successfully."
    },
    "data": {
      "description": "Structured result payload. Present for responseFormat='v2' tools."
    },
    "meta": {
      "description": "Result metadata such as count, locale fallback, cache scope, or response format."
    },
    "error": {
      "type": "string",
      "description": "Human-readable error message when success is false."
    },
    "count": {
      "type": "number",
      "description": "Number of returned records for list and search tools."
    }
  }
}
🟢request_consultation(name, email, projectDescription, company, estimatedBudget, ...)

Request a free consultation with Context Studios. Use this when a user wants to get in touch, start a project, or receive an offer. Captures name, email, and a short project description; the team replies within 24 hours.

输入模式

{
  "type": "object",
  "properties": {
    "name": {
      "type": "string",
      "description": "Contact name",
      "minLength": 2,
      "maxLength": 100
    },
    "email": {
      "type": "string",
      "description": "Contact email address",
      "maxLength": 254
    },
    "projectDescription": {
      "description": "What the user wants to build or solve (a few sentences)",
      "minLength": 10,
      "examples": [
        "Build an AI support agent that answers customer questions from our help center and escalates edge cases."
      ],
      "type": "string",
      "maxLength": 2000
    },
    "company": {
      "type": "string",
      "description": "Company name (optional)",
      "maxLength": 200
    },
    "estimatedBudget": {
      "type": "string",
      "description": "Budget range if known, e.g. '€10,000–€25,000' (optional)",
      "maxLength": 100
    },
    "website": {
      "type": "string",
      "description": "Leave this field empty."
    }
  },
  "required": [
    "name",
    "email",
    "projectDescription"
  ]
}

输出模式

{
  "type": "object",
  "properties": {
    "success": {
      "type": "boolean",
      "description": "Whether the tool call completed successfully."
    },
    "data": {
      "description": "Structured result payload. Present for responseFormat='v2' tools."
    },
    "meta": {
      "description": "Result metadata such as count, locale fallback, cache scope, or response format."
    },
    "error": {
      "type": "string",
      "description": "Human-readable error message when success is false."
    },
    "count": {
      "type": "number",
      "description": "Number of returned records for list and search tools."
    }
  }
}
🟢search(query)

Search all public Context Studios content (blog, guides, glossary, AI comparisons). Returns result IDs for use with the fetch tool.

输入模式

{
  "type": "object",
  "properties": {
    "query": {
      "description": "Search query",
      "minLength": 2,
      "examples": [
        "MCP server development",
        "Claude vs ChatGPT",
        "AI agent security"
      ],
      "type": "string"
    }
  },
  "required": [
    "query"
  ]
}

输出模式

{
  "type": "object",
  "properties": {
    "results": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string"
          },
          "title": {
            "type": "string"
          },
          "text": {
            "type": "string"
          },
          "url": {
            "type": "string"
          }
        },
        "required": [
          "id",
          "title"
        ]
      }
    }
  },
  "required": [
    "results"
  ]
}
🟢search_blog_knowledge(query, slug, language, responseFormat)

Deep full-text search through the entire blog knowledge base. Provide either `query` (full-text search) or `slug` (fetch a specific post).

输入模式

{
  "type": "object",
  "properties": {
    "query": {
      "description": "Search query or keyword phrase. Use the user's natural-language topic.",
      "minLength": 2,
      "examples": [
        "MCP server development",
        "Claude vs ChatGPT",
        "AI agent security"
      ],
      "type": "string"
    },
    "slug": {
      "description": "Exact public slug for a blog post, guide, location page, comparison, glossary term, CMS page, or landing page.",
      "minLength": 2,
      "examples": [
        "my-favorite-mcp-servers-in-january-2026-the-best-tools-for-ai-powered-development",
        "mvp-sprint"
      ],
      "type": "string"
    },
    "language": {
      "description": "Preferred content language. Supported values are de, en, fr, and it. Some source catalogs may fall back to de or en.",
      "enum": [
        "de",
        "en",
        "fr",
        "it"
      ],
      "default": "en",
      "examples": [
        "en",
        "de"
      ],
      "type": "string"
    },
    "responseFormat": {
      "description": "Response shape. Use v2 for agent-friendly {success,data,meta,error}; legacy remains available for older clients.",
      "enum": [
        "legacy",
        "v2"
      ],
      "default": "legacy",
      "examples": [
        "v2"
      ],
      "type": "string"
    }
  }
}

输出模式

{
  "type": "object",
  "properties": {
    "success": {
      "type": "boolean",
      "description": "Whether the tool call completed successfully."
    },
    "data": {
      "description": "Structured result payload. Present for responseFormat='v2' tools."
    },
    "meta": {
      "description": "Result metadata such as count, locale fallback, cache scope, or response format."
    },
    "error": {
      "type": "string",
      "description": "Human-readable error message when success is false."
    },
    "count": {
      "type": "number",
      "description": "Number of returned records for list and search tools."
    }
  }
}
🟢search_comparisons(query, language, limit, responseFormat)

Search comparisons by keyword.

输入模式

{
  "type": "object",
  "properties": {
    "query": {
      "description": "Search query or keyword phrase. Use the user's natural-language topic.",
      "minLength": 2,
      "examples": [
        "MCP server development",
        "Claude vs ChatGPT",
        "AI agent security"
      ],
      "type": "string"
    },
    "language": {
      "description": "Preferred content language. Supported values are de, en, fr, and it. Some source catalogs may fall back to de or en.",
      "enum": [
        "de",
        "en",
        "fr",
        "it"
      ],
      "default": "en",
      "examples": [
        "en",
        "de"
      ],
      "type": "string"
    },
    "limit": {
      "description": "Maximum number of results to return.",
      "minimum": 1,
      "maximum": 500,
      "default": 50,
      "examples": [
        5,
        10,
        20
      ],
      "type": "number"
    },
    "responseFormat": {
      "description": "Response shape. Use v2 for agent-friendly {success,data,meta,error}; legacy remains available for older clients.",
      "enum": [
        "legacy",
        "v2"
      ],
      "default": "legacy",
      "examples": [
        "v2"
      ],
      "type": "string"
    }
  },
  "required": [
    "query"
  ]
}

输出模式

{
  "type": "object",
  "properties": {
    "success": {
      "type": "boolean",
      "description": "Whether the tool call completed successfully."
    },
    "data": {
      "description": "Structured result payload. Present for responseFormat='v2' tools."
    },
    "meta": {
      "description": "Result metadata such as count, locale fallback, cache scope, or response format."
    },
    "error": {
      "type": "string",
      "description": "Human-readable error message when success is false."
    },
    "count": {
      "type": "number",
      "description": "Number of returned records for list and search tools."
    }
  }
}
🟢search_content(query, maxResults, locale, responseFormat)

Universal search across all public content.

输入模式

{
  "type": "object",
  "properties": {
    "query": {
      "description": "Search query or keyword phrase. Use the user's natural-language topic.",
      "minLength": 2,
      "examples": [
        "MCP server development",
        "Claude vs ChatGPT",
        "AI agent security"
      ],
      "type": "string"
    },
    "maxResults": {
      "description": "Maximum combined search results to return across public content types.",
      "minimum": 1,
      "maximum": 20,
      "default": 10,
      "examples": [
        5,
        10
      ],
      "type": "number"
    },
    "locale": {
      "description": "Preferred content locale. Supported values are de, en, fr, and it. Some source catalogs may fall back to de or en.",
      "enum": [
        "de",
        "en",
        "fr",
        "it"
      ],
      "default": "en",
      "examples": [
        "en",
        "de"
      ],
      "type": "string"
    },
    "responseFormat": {
      "description": "Response shape. Use v2 for agent-friendly {success,data,meta,error}; legacy remains available for older clients.",
      "enum": [
        "legacy",
        "v2"
      ],
      "default": "legacy",
      "examples": [
        "v2"
      ],
      "type": "string"
    }
  },
  "required": [
    "query"
  ]
}

输出模式

{
  "type": "object",
  "properties": {
    "success": {
      "type": "boolean",
      "description": "Whether the tool call completed successfully."
    },
    "data": {
      "description": "Structured result payload. Present for responseFormat='v2' tools."
    },
    "meta": {
      "description": "Result metadata such as count, locale fallback, cache scope, or response format."
    },
    "error": {
      "type": "string",
      "description": "Human-readable error message when success is false."
    },
    "count": {
      "type": "number",
      "description": "Number of returned records for list and search tools."
    }
  }
}
🟢search_glossary(query, category, language, limit, responseFormat)

Search the AI glossary by keyword or category. Provide either `query` or `category`.

输入模式

{
  "type": "object",
  "properties": {
    "query": {
      "description": "Search query or keyword phrase. Use the user's natural-language topic.",
      "minLength": 2,
      "examples": [
        "MCP server development",
        "Claude vs ChatGPT",
        "AI agent security"
      ],
      "type": "string"
    },
    "category": {
      "description": "Optional category filter. For services use starter, fasttrack, enterprise, or all. For glossary/comparisons use a published content category.",
      "examples": [
        "all",
        "fasttrack",
        "agentic"
      ],
      "type": "string"
    },
    "language": {
      "description": "Preferred content language. Supported values are de, en, fr, and it. Some source catalogs may fall back to de or en.",
      "enum": [
        "de",
        "en",
        "fr",
        "it"
      ],
      "default": "en",
      "examples": [
        "en",
        "de"
      ],
      "type": "string"
    },
    "limit": {
      "description": "Maximum number of results to return.",
      "minimum": 1,
      "maximum": 50,
      "default": 10,
      "examples": [
        5,
        10,
        20
      ],
      "type": "number"
    },
    "responseFormat": {
      "description": "Response shape. Use v2 for agent-friendly {success,data,meta,error}; legacy remains available for older clients.",
      "enum": [
        "legacy",
        "v2"
      ],
      "default": "legacy",
      "examples": [
        "v2"
      ],
      "type": "string"
    }
  }
}

输出模式

{
  "type": "object",
  "properties": {
    "success": {
      "type": "boolean",
      "description": "Whether the tool call completed successfully."
    },
    "data": {
      "description": "Structured result payload. Present for responseFormat='v2' tools."
    },
    "meta": {
      "description": "Result metadata such as count, locale fallback, cache scope, or response format."
    },
    "error": {
      "type": "string",
      "description": "Human-readable error message when success is false."
    },
    "count": {
      "type": "number",
      "description": "Number of returned records for list and search tools."
    }
  }
}
🟢search_guides(query, locale, limit, responseFormat)

Search public guides.

输入模式

{
  "type": "object",
  "properties": {
    "query": {
      "description": "Search query or keyword phrase. Use the user's natural-language topic.",
      "minLength": 2,
      "examples": [
        "MCP server development",
        "Claude vs ChatGPT",
        "AI agent security"
      ],
      "type": "string"
    },
    "locale": {
      "description": "Preferred content locale. Supported values are de, en, fr, and it. Some source catalogs may fall back to de or en.",
      "enum": [
        "de",
        "en",
        "fr",
        "it"
      ],
      "default": "en",
      "examples": [
        "en",
        "de"
      ],
      "type": "string"
    },
    "limit": {
      "description": "Maximum number of results to return.",
      "minimum": 1,
      "maximum": 50,
      "default": 10,
      "examples": [
        5,
        10,
        20
      ],
      "type": "number"
    },
    "responseFormat": {
      "description": "Response shape. Use v2 for agent-friendly {success,data,meta,error}; legacy remains available for older clients.",
      "enum": [
        "legacy",
        "v2"
      ],
      "default": "legacy",
      "examples": [
        "v2"
      ],
      "type": "string"
    }
  },
  "required": [
    "query"
  ]
}

输出模式

{
  "type": "object",
  "properties": {
    "success": {
      "type": "boolean",
      "description": "Whether the tool call completed successfully."
    },
    "data": {
      "description": "Structured result payload. Present for responseFormat='v2' tools."
    },
    "meta": {
      "description": "Result metadata such as count, locale fallback, cache scope, or response format."
    },
    "error": {
      "type": "string",
      "description": "Human-readable error message when success is false."
    },
    "count": {
      "type": "number",
      "description": "Number of returned records for list and search tools."
    }
  }
}
🟢search_location_pages(query, locale, scope, limit, responseFormat)

Search public location and bundesland pages.

输入模式

{
  "type": "object",
  "properties": {
    "query": {
      "description": "Search query or keyword phrase. Use the user's natural-language topic.",
      "minLength": 2,
      "examples": [
        "MCP server development",
        "Claude vs ChatGPT",
        "AI agent security"
      ],
      "type": "string"
    },
    "locale": {
      "description": "Preferred content locale. Supported values are de, en, fr, and it. Some source catalogs may fall back to de or en.",
      "enum": [
        "de",
        "en",
        "fr",
        "it"
      ],
      "default": "en",
      "examples": [
        "en",
        "de"
      ],
      "type": "string"
    },
    "scope": {
      "description": "Location-page scope: locations, bundeslaender, or all.",
      "default": "all",
      "examples": [
        "locations",
        "all"
      ],
      "type": "string",
      "enum": [
        "locations",
        "bundeslaender",
        "all"
      ]
    },
    "limit": {
      "description": "Maximum number of results to return.",
      "minimum": 1,
      "maximum": 50,
      "default": 10,
      "examples": [
        5,
        10,
        20
      ],
      "type": "number"
    },
    "responseFormat": {
      "description": "Response shape. Use v2 for agent-friendly {success,data,meta,error}; legacy remains available for older clients.",
      "enum": [
        "legacy",
        "v2"
      ],
      "default": "legacy",
      "examples": [
        "v2"
      ],
      "type": "string"
    }
  },
  "required": [
    "query"
  ]
}

输出模式

{
  "type": "object",
  "properties": {
    "success": {
      "type": "boolean",
      "description": "Whether the tool call completed successfully."
    },
    "data": {
      "description": "Structured result payload. Present for responseFormat='v2' tools."
    },
    "meta": {
      "description": "Result metadata such as count, locale fallback, cache scope, or response format."
    },
    "error": {
      "type": "string",
      "description": "Human-readable error message when success is false."
    },
    "count": {
      "type": "number",
      "description": "Number of returned records for list and search tools."
    }
  }
}
🟢search_pages(query, locale, limit, responseFormat)

Full-text search across all published CMS pages.

输入模式

{
  "type": "object",
  "properties": {
    "query": {
      "description": "Search query or keyword phrase. Use the user's natural-language topic.",
      "minLength": 2,
      "examples": [
        "MCP server development",
        "Claude vs ChatGPT",
        "AI agent security"
      ],
      "type": "string"
    },
    "locale": {
      "description": "Preferred content locale. Supported values are de, en, fr, and it. Some source catalogs may fall back to de or en.",
      "enum": [
        "de",
        "en",
        "fr",
        "it"
      ],
      "default": "en",
      "examples": [
        "en",
        "de"
      ],
      "type": "string"
    },
    "limit": {
      "description": "Maximum number of results to return.",
      "minimum": 1,
      "maximum": 50,
      "default": 10,
      "examples": [
        5,
        10,
        20
      ],
      "type": "number"
    },
    "responseFormat": {
      "description": "Response shape. Use v2 for agent-friendly {success,data,meta,error}; legacy remains available for older clients.",
      "enum": [
        "legacy",
        "v2"
      ],
      "default": "legacy",
      "examples": [
        "v2"
      ],
      "type": "string"
    }
  },
  "required": [
    "query"
  ]
}

输出模式

{
  "type": "object",
  "properties": {
    "success": {
      "type": "boolean",
      "description": "Whether the tool call completed successfully."
    },
    "data": {
      "description": "Structured result payload. Present for responseFormat='v2' tools."
    },
    "meta": {
      "description": "Result metadata such as count, locale fallback, cache scope, or response format."
    },
    "error": {
      "type": "string",
      "description": "Human-readable error message when success is false."
    },
    "count": {
      "type": "number",
      "description": "Number of returned records for list and search tools."
    }
  }
}

推荐提示词

search_research
Search for information about [topic] using Context Studios MCP
预期工具： search
find_specific
Find [specific item] using Context Studios MCP
预期工具： search
retrieve_data
Get details about [item] from Context Studios MCP
预期工具： fetch
fetch_info
Fetch [information type] using Context Studios MCP
预期工具： fetch
list_items
List all [items] available in Context Studios MCP
预期工具： list_comparisons

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