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.
git clone --depth 1 https://github.com/UnicomAI/wanwu /tmp/exa-web-search-free && cp -r /tmp/exa-web-search-free/configs/microservice/bff-service/configs/agent-skills/clawhub/exa-web-search-free ~/.claude/skills/exa-web-search-freeSKILL.md
# 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](references/examples.md) for more patterns ## Resources - [GitHub](https://github.com/exa-labs/exa-mcp-server) - [npm](https://www.npmjs.com/package/exa-mcp-server) - [Docs](https://exa.ai/docs)
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