Fedor Chishchin — AI agents & MCP servers

Read-only facts about AI engineer Fedor Chishchin: services, case studies, posts, courses, contact.

我該用這個嗎

品質與安全性

A
說明品質
91%
結構描述完整度
94%
命名品質
100%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

發現項目(1)

  • LOWTool 'get_contact_info' description lacks action verb在 get_contact_info 中

根據工具定義與協定合規性的自動化分析。

上下文成本

~1,364Token(工具定義)
~1.0 KB典型回應大小
中等的注意力影響(128k 上下文的 1.07%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

{
  "mcpServers": {
    "site": {
      "url": "https://fedorthinks.com/mcp"
    }
  }
}

遠端端點

https://fedorthinks.com/mcpstreamable-http

它能做什麼

工具清單

工具(8)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢get_services(language)

The two services Fedor offers — AI agent development and MCP server development — with a short summary and the page URL of each.

輸入結構描述

{
  "type": "object",
  "properties": {
    "language": {
      "description": "Language of the returned text: en, ru, es or zh. Defaults to en.",
      "default": "en",
      "type": "string",
      "enum": [
        "en",
        "es",
        "ru",
        "zh"
      ]
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢list_case_studies(focus, language)

Case studies of real systems Fedor built. Filter by focus: 'agents', 'mcp', 'other' or 'all' (default). Returns slug, title, summary and URL; use get_case_study for the full text.

輸入結構描述

{
  "type": "object",
  "properties": {
    "focus": {
      "description": "Which case studies to list.",
      "default": "all",
      "type": "string",
      "enum": [
        "agents",
        "mcp",
        "other",
        "all"
      ]
    },
    "language": {
      "description": "Language of the returned text: en, ru, es or zh. Defaults to en.",
      "default": "en",
      "type": "string",
      "enum": [
        "en",
        "es",
        "ru",
        "zh"
      ]
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢get_case_study(slug, language)

The full text of one case study as Markdown, by slug (from list_case_studies).

輸入結構描述

{
  "type": "object",
  "properties": {
    "slug": {
      "description": "Case study slug, e.g. 'miamiflow'.",
      "type": "string",
      "minLength": 1,
      "maxLength": 100
    },
    "language": {
      "description": "Language of the returned text: en, ru, es or zh. Defaults to en.",
      "default": "en",
      "type": "string",
      "enum": [
        "en",
        "es",
        "ru",
        "zh"
      ]
    }
  },
  "required": [
    "slug"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢search_posts(query, tag, language)

Search Fedor's blog posts by words in the title and summary, optionally limited to one tag (e.g. 'agents', 'mcp'). Returns up to 10 matches, newest first; use get_post for the full text.

輸入結構描述

{
  "type": "object",
  "properties": {
    "query": {
      "description": "Words to look for; empty lists the newest posts.",
      "default": "",
      "type": "string",
      "maxLength": 200
    },
    "tag": {
      "description": "Only posts with this tag.",
      "type": "string",
      "maxLength": 40
    },
    "language": {
      "description": "Language of the returned text: en, ru, es or zh. Defaults to en.",
      "default": "en",
      "type": "string",
      "enum": [
        "en",
        "es",
        "ru",
        "zh"
      ]
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢get_post(slug, language)

The full text of one blog post as Markdown, by slug (from search_posts).

輸入結構描述

{
  "type": "object",
  "properties": {
    "slug": {
      "description": "Post slug, e.g. 'agents-that-remember'.",
      "type": "string",
      "minLength": 1,
      "maxLength": 120
    },
    "language": {
      "description": "Language of the returned text: en, ru, es or zh. Defaults to en.",
      "default": "en",
      "type": "string",
      "enum": [
        "en",
        "es",
        "ru",
        "zh"
      ]
    }
  },
  "required": [
    "slug"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢list_courses(query, language)

Fedor's express courses (plain-language explainers with a diagram per concept) on AI agents, MCP, RAG, evals, architecture, cloud and enterprise systems. Optionally filter by words in the title and summary. Returns slug, title, summary, level, reading time and URL; use get_course for the full text.

輸入結構描述

{
  "type": "object",
  "properties": {
    "query": {
      "description": "Words to look for, e.g. 'mcp' or 'snowflake'; empty lists all courses.",
      "default": "",
      "type": "string",
      "maxLength": 200
    },
    "language": {
      "description": "Language of the returned text: en, ru, es or zh. Defaults to en.",
      "default": "en",
      "type": "string",
      "enum": [
        "en",
        "es",
        "ru",
        "zh"
      ]
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢get_course(slug, language)

The full text of one course as Markdown, by slug (from list_courses). Courses are long: each concept has a card with what it is, an example, the catch and related concepts.

輸入結構描述

{
  "type": "object",
  "properties": {
    "slug": {
      "description": "Course slug, e.g. 'mcp-express'.",
      "type": "string",
      "minLength": 1,
      "maxLength": 120
    },
    "language": {
      "description": "Language of the returned text: en, ru, es or zh. Defaults to en.",
      "default": "en",
      "type": "string",
      "enum": [
        "en",
        "es",
        "ru",
        "zh"
      ]
    }
  },
  "required": [
    "slug"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢get_contact_info(language)

How to hire or contact Fedor: the contact form and services URLs, his time zone, languages and usual response time.

輸入結構描述

{
  "type": "object",
  "properties": {
    "language": {
      "description": "Language of the returned text: en, ru, es or zh. Defaults to en.",
      "default": "en",
      "type": "string",
      "enum": [
        "en",
        "es",
        "ru",
        "zh"
      ]
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

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證據

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已驗證未記錄版本8 個工具