SSearch

Free web search for AI agents. No API key required. Hosted MCP in active development.

我该使用它吗

质量与安全性

A
描述质量
94%
模式完整度
73%
命名质量
100%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

基于对工具定义和协议合规性的自动分析。

上下文开销

~588token 数(工具定义)
~684 B典型响应大小
对注意力的影响极小(占 128k 上下文窗口的 0.46%)

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": {
    "search": {
      "url": "https://api.ssearch.cc/mcp"
    }
  }
}

远程端点

https://api.ssearch.cc/mcpstreamable-http

它能做什么

工具清单

工具(7)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟡search_web(query, max_results, fresh, wait_for_coverage)

Search SSearch. Set wait_for_coverage to search owned documents and, only if needed, external discovery on a miss.

输入模式

{
  "type": "object",
  "properties": {
    "query": {
      "title": "Query",
      "type": "string"
    },
    "max_results": {
      "default": 10,
      "title": "Max Results",
      "type": "integer"
    },
    "fresh": {
      "default": false,
      "title": "Fresh",
      "type": "boolean"
    },
    "wait_for_coverage": {
      "default": false,
      "title": "Wait For Coverage",
      "type": "boolean"
    }
  },
  "required": [
    "query"
  ],
  "title": "search_webArguments"
}
🟢search_documents(query, max_results, promote)

Search SSearch-owned stored full-text documents. Successful misses can be promoted into the live index.

输入模式

{
  "type": "object",
  "properties": {
    "query": {
      "title": "Query",
      "type": "string"
    },
    "max_results": {
      "default": 10,
      "title": "Max Results",
      "type": "integer"
    },
    "promote": {
      "default": true,
      "title": "Promote",
      "type": "boolean"
    }
  },
  "required": [
    "query"
  ],
  "title": "search_documentsArguments"
}
🟢get_context(document_id, query, max_chars, max_passages)

Retrieve only the stored passages in a search result that are relevant to the information you need.

输入模式

{
  "type": "object",
  "properties": {
    "document_id": {
      "title": "Document Id",
      "type": "string"
    },
    "query": {
      "title": "Query",
      "type": "string"
    },
    "max_chars": {
      "default": 5000,
      "title": "Max Chars",
      "type": "integer"
    },
    "max_passages": {
      "default": 5,
      "title": "Max Passages",
      "type": "integer"
    }
  },
  "required": [
    "document_id",
    "query"
  ],
  "title": "get_contextArguments"
}
🟢get_document(document_id, max_chars)

Retrieve the broader stored text for a known SSearch document ID.

输入模式

{
  "type": "object",
  "properties": {
    "document_id": {
      "title": "Document Id",
      "type": "string"
    },
    "max_chars": {
      "default": 30000,
      "title": "Max Chars",
      "type": "integer"
    }
  },
  "required": [
    "document_id"
  ],
  "title": "get_documentArguments"
}
🟢fetch_page(url, archive_fallback, max_chars)

Fetch and extract readable page text; optionally fall back to Common Crawl.

输入模式

{
  "type": "object",
  "properties": {
    "url": {
      "title": "Url",
      "type": "string"
    },
    "archive_fallback": {
      "default": true,
      "title": "Archive Fallback",
      "type": "boolean"
    },
    "max_chars": {
      "default": 30000,
      "title": "Max Chars",
      "type": "integer"
    }
  },
  "required": [
    "url"
  ],
  "title": "fetch_pageArguments"
}
🟢search_plan(query)

Show the normalized local search plan for a query.

输入模式

{
  "type": "object",
  "properties": {
    "query": {
      "title": "Query",
      "type": "string"
    }
  },
  "required": [
    "query"
  ],
  "title": "search_planArguments"
}
🟢search_sources

Describe the local SSearch corpus and search backends.

输入模式

{
  "type": "object",
  "properties": {},
  "title": "search_sourcesArguments"
}

推荐提示词

research_workflow
Search for [topic], then get detailed information about the top results using SSearch
预期工具: search_webget_context
search_research
Search for information about [topic] using SSearch
预期工具: search_web
fetch_info
Fetch [information type] using SSearch
预期工具: get_context
find_specific
Find [specific item] using SSearch
预期工具: search_web
retrieve_data
Get details about [item] from SSearch
预期工具: get_context

社区

评价此服务器

证据

最近观测

已验证未记录版本7 个工具
已验证未记录版本7 个工具