exa-search

name exa-search description Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine. Exa Search Neural search for web content, code, companies, and people via the Exa MCP server. When to Activate User needs current web information or news Searching for code examples, API docs, or technical references Researching companies, competitors, or market players Finding professional profiles or people in a domain Running background research for any development task User says "search for", "look up", "find", or "what's the latest on" MCP Requirement Exa MCP server must be configured. Add to ~/.claude.json : "exa-web-search" : { "command" : "npx" , "args" : [ "-y" , "exa-mcp-server" ] , "env" : { "EXA_API_KEY" : "YOUR_EXA_API_KEY_HERE" } } Get an API key at exa.ai . Core Tools web_search_exa General web search for current information, news, or facts. web_search_exa(query: "latest AI developments 2026", numResults: 5) Parameters: Param Type Default Notes query string required Search query numResults number 8 Number of results web_search_advanced_exa Filtered search with domain and date constraints. web_search_advanced_exa( query: "React Server Components best practices", numResults: 5, includeDomains: ["github.com", "react.dev"], startPublishedDate: "2025-01-01" ) Parameters: Param Type Default Notes query string required Search query numResults number 8 Number of results includeDomains string[] none Limit to specific domains excludeDomains string[] none Exclude specific domains startPublishedDate string none ISO date filter (start) endPublishedDate string none ISO date filter (end) get_code_context_exa Find code examples and documentation from GitHub, Stack Overflow, and docs sites. get_code_context_exa(query: "Python asyncio patterns", tokensNum: 3000) Parameters: Param Type Default Notes query string required Code or API search query tokensNum number 5000 Content tokens (1000-50000) company_research_exa Research companies for business intelligence and news. company_research_exa(companyName: "Anthropic", numResults: 5) Parameters: Param Type Default Notes companyName string required Company name numResults number 5 Number of results people_search_exa Find professional profiles and bios. people_search_exa(query: "AI safety researchers at Anthropic", numResults: 5) crawling_exa Extract full page content from a URL. crawling_exa(url: "https://example.com/article", tokensNum: 5000) Parameters: Param Type Default Notes url string required URL to extract tokensNum number 5000 Content tokens deep_researcher_start / deep_researcher_check Start an AI research agent that runs asynchronously. # Start research deep_researcher_start(query: "comprehensive analysis of AI code editors in 2026") # Check status (returns results when complete) deep_researcher_check(researchId: "<id from start>") Usage Patterns Quick Lookup web_search_exa(query: "Node.js 22 new features", numResults: 3) Code Research get_code_context_exa(query: "Rust error handling patterns Result type", tokensNum: 3000) Company Due Diligence company_research_exa(companyName: "Vercel", numResults: 5) web_search_advanced_exa(query: "Vercel funding valuation 2026", numResults: 3) Technical Deep Dive # Start async research deep_researcher_start(query: "WebAssembly component model status and adoption") # ... do other work ... deep_researcher_check(researchId: "<id>") Tips Use web_search_exa for broad queries, web_search_advanced_exa for filtered results Lower tokensNum (1000-2000) for focused code snippets, higher (5000+) for comprehensive context Combine company_research_exa with web_search_advanced_exa for thorough company analysis Use crawling_exa to get full content from specific URLs found in search results deep_researcher_start is best for comprehensive topics that benefit from AI synthesis Related Skills deep-research — Full research workflow using firecrawl + exa together market-research — Business-oriented research with decision frameworks