Exa web search
A curated collection of reusable AI coding skills, MCP server configs, and engineering playbooks for faster, more systematic software development.
npx -y skills add jtsang4/efficient-coding --skill exa-web-searchAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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What its author says it does
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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.
SKILL.md
2.4 KB, as published. Nobody here has run it
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 querynumResults(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 querytokensNum(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 namenumResults(optional, default: 5)
Advanced Tools (Optional)
Six additional tools available by updating config URL:
web_search_advanced_exa- Domain/date filtersdeep_search_exa- Query expansioncrawling_exa- Full page extractionpeople_search_exa- Professional profilesdeep_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