exa-search — Нейронный поиск информации по сети и коду

--- 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. origin: ECC --- # 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`: ```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](https://exa.ai). This repo's current Exa setup documents the tool surface exposed here: `web_search_exa` and `get_code_context_exa`. If your Exa server exposes additional tools, verify their exact names before depending on them in docs or prompts. ## 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 | | `type` | string | `auto` | Search mode | | `livecrawl` | string | `fallback` | Prefer live crawling when needed | | `category` | string | none | Optional focus such as `company` or `research paper` | ### 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) | ## 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 or People Research ``` web_search_exa(query: "Vercel funding valuation 2026", numResults: 3, category: "company") web_search_exa(query: "site:linkedin.com/in AI safety researchers Anthropic", numResults: 5) ``` ### Technical Deep Dive ``` web_search_exa(query: "WebAssembly component model status and adoption", numResults: 5) get_code_context_exa(query: "WebAssembly component model examples", tokensNum: 4000) ``` ## Tips - Use `web_search_exa` for current information, company lookups, and broad discovery - Use search operators like `site:`, quoted phrases, and `intitle:` to narrow results - Lower `tokensNum` (1000-2000) for focused code snippets, higher (5000+) for comprehensive context - Use `get_code_context_exa` when you need API usage or code examples rather than general web pages ## Related Skills - `deep-research` — Full research workflow using firecrawl + exa together - `market-research` — Business-oriented research with decision frameworks