exa

Connect AI agents to Exa for web search, content fetching, and multi-step research.

我该使用它吗

质量与安全性

A
描述质量
100%
模式完整度
100%
命名质量
80%
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

~524token 数(工具定义)
~1.6 KB典型响应大小
对注意力的影响极小(占 128k 上下文窗口的 0.41%)

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": {
    "exa": {
      "url": "https://mcp.exa.ai/mcp"
    }
  }
}

远程端点

https://mcp.exa.ai/mcpstreamable-http

它能做什么

工具清单

工具(2)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢web_search_exa(query, numResults, objective)

Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.

输入模式

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "minLength": 1,
      "description": "Natural language search query. Should be a semantically rich description of the ideal page, not just keywords. Optionally include category:<type> (company, people) to focus results — e.g. 'category:people John Doe software engineer'."
    },
    "numResults": {
      "type": "number",
      "description": "Number of search results to return (default: 10)."
    },
    "objective": {
      "type": "string",
      "minLength": 1,
      "maxLength": 4096,
      "description": "Goal for this search turn; say which documents should rank first, which should be excluded, and what specific facts or figures to pull from them."
    }
  },
  "required": [
    "query",
    "objective"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢web_fetch_exa(urls, maxCharacters)

Read a webpage's full content as clean markdown. Use after web_search_exa when highlights are insufficient or to read any URL. Best for: Extracting full content from known URLs. Batch multiple URLs in one call. Returns: Clean text content and metadata from the page(s).

输入模式

{
  "type": "object",
  "properties": {
    "urls": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "URLs to read. Batch multiple URLs in one call."
    },
    "maxCharacters": {
      "type": "number",
      "minimum": 1,
      "description": "Maximum characters to extract per page (default: 3000)"
    }
  },
  "required": [
    "urls"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

推荐提示词

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

社区

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证据

最近观测

已验证未记录版本2 个工具
已验证未记录版本2 个工具