exa-web-search-free

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Exa Web Search (Free)

Exa 网页搜索(免费版)

Neural search for web, code, and company research. No API key required.
针对网页、代码和企业调研的神经搜索。无需API密钥。

Setup

配置步骤

Verify mcporter is configured:
bash
mcporter list exa
If not listed:
bash
mcporter config add exa https://mcp.exa.ai/mcp
确认mcporter已配置:
bash
mcporter list exa
如果未列出:
bash
mcporter config add exa https://mcp.exa.ai/mcp

Core Tools

核心工具

web_search_exa

web_search_exa

Search web for current info, news, or facts.
bash
mcporter call 'exa.web_search_exa(query: "latest AI news 2026", numResults: 5)'
Parameters:
  • query
    - Search query
  • numResults
    (optional, default: 8)
  • type
    (optional) -
    "auto"
    ,
    "fast"
    , or
    "deep"
搜索网页获取当前资讯、新闻或事实信息。
bash
mcporter call 'exa.web_search_exa(query: "latest AI news 2026", numResults: 5)'
参数说明:
  • query
    - 搜索查询词
  • numResults
    (可选,默认值:8)
  • type
    (可选) -
    "auto"
    ,
    "fast"
    , 或
    "deep"

get_code_context_exa

get_code_context_exa

Find code examples and docs from GitHub, Stack Overflow.
bash
mcporter call 'exa.get_code_context_exa(query: "React hooks examples", tokensNum: 3000)'
Parameters:
  • query
    - Code/API search query
  • tokensNum
    (optional, default: 5000) - Range: 1000-50000
从GitHub、Stack Overflow查找代码示例和文档。
bash
mcporter call 'exa.get_code_context_exa(query: "React hooks examples", tokensNum: 3000)'
参数说明:
  • query
    - 代码/API搜索查询词
  • tokensNum
    (可选,默认值:5000)- 范围:1000-50000

company_research_exa

company_research_exa

Research companies for business info and news.
bash
mcporter call 'exa.company_research_exa(companyName: "Anthropic", numResults: 3)'
Parameters:
  • companyName
    - Company name
  • numResults
    (optional, default: 5)
调研企业以获取商业信息和新闻。
bash
mcporter call 'exa.company_research_exa(companyName: "Anthropic", numResults: 3)'
参数说明:
  • companyName
    - 企业名称
  • numResults
    (可选,默认值:5)

Advanced Tools (Optional)

进阶工具(可选)

Six additional tools available by updating config URL:
  • web_search_advanced_exa
    - Domain/date filters
  • deep_search_exa
    - Query expansion
  • crawling_exa
    - Full page extraction
  • people_search_exa
    - Professional profiles
  • deep_researcher_start/check
    - AI research agent
Enable all tools:
bash
mcporter config add exa-full "https://mcp.exa.ai/mcp?tools=web_search_exa,web_search_advanced_exa,get_code_context_exa,deep_search_exa,crawling_exa,company_research_exa,people_search_exa,deep_researcher_start,deep_researcher_check"
更新配置URL后可使用另外6个工具:
  • web_search_advanced_exa
    - 支持域名/日期筛选
  • deep_search_exa
    - 查询词扩展
  • crawling_exa
    - 整页内容提取
  • people_search_exa
    - 专业人士资料查询
  • deep_researcher_start/check
    - AI调研Agent
启用所有工具:
bash
mcporter config add exa-full "https://mcp.exa.ai/mcp?tools=web_search_exa,web_search_advanced_exa,get_code_context_exa,deep_search_exa,crawling_exa,company_research_exa,people_search_exa,deep_researcher_start,deep_researcher_check"

Then use:

Then use:

mcporter call 'exa-full.deep_search_exa(query: "AI safety research")'
undefined
mcporter call 'exa-full.deep_search_exa(query: "AI safety research")'
undefined

Tips

使用技巧

  • Web: Use
    type: "fast"
    for quick lookup,
    "deep"
    for thorough research
  • Code: Lower
    tokensNum
    (1000-2000) for focused, higher (5000+) for comprehensive
  • See examples.md for more patterns
  • 网页搜索:使用
    type: "fast"
    进行快速查询,
    "deep"
    用于深度调研
  • 代码搜索:降低
    tokensNum
    (1000-2000)以聚焦内容,提高数值(5000+)获取全面信息
  • 更多使用模式请查看examples.md

Resources

相关资源