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jtsang4jtsang4/efficient-coding/skills/exa-web-search/SKILL.md

exa-web-search

Skill2 starsChanged 2 months agoMITView on GitHub

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.

1 other project uses a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Verify mcporter is configured:

    line 13
  2. Distinctive:

    Search web for current info, news, or facts.

    line 26

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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

Download now (ZIP)

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  • It worked
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Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

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