exa-web-search-free

Original：🇺🇸 English
Translated

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.

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Sourcesundial-org/awesome-openclaw-skills
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NPX Install

npx skill4agent add sundial-org/awesome-openclaw-skills exa-web-search-free

Tags

Translated version includes tags in frontmatter
exa-mcpai-searchweb-searchcode-searchcompany-research

SKILL.md Content

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Exa Web Search (Free)

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

Setup

Verify mcporter is configured:
bash
mcporter list exa
If not listed:
bash
mcporter config add exa https://mcp.exa.ai/mcp

Core Tools

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"

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

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)

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:
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:
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