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exa-web-search-free

Free AI search via Exa MCP. Web search for news/info, code search for docs/examples from GitHub/StackOverflow, company research for business intel. No API key needed.

インストール方法を見る

含まれるファイル(3)

  • SKILL.md2.4 KB
  • .clawhub/origin.json151 B
  • references/examples.md4.6 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Exa Web Search (Free)

Neural search for web, code, and company research. No API key required.

Setup

Verify mcporter is configured:

mcporter list exa

If not listed:

mcporter config add exa https://mcp.exa.ai/mcp

Core Tools

web_search_exa

Search web for current info, news, or facts.

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"

get_code_context_exa

Find code examples and docs from GitHub, Stack Overflow.

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

company_research_exa

Research companies for business info and news.

mcporter call 'exa.company_research_exa(companyName: "Anthropic", numResults: 3)'

Parameters:

  • companyName - Company name
  • numResults (optional, default: 5)

Advanced Tools (Optional)

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:

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

Tips

  • 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

Resources

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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