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Use Exa neural search for web, code, company, and people research.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "exa-search" skill from askskill: 1. Download https://raw.githubusercontent.com/affaan-m/ECC/main/skills/exa-search/SKILL.md 2. Save it as ~/.claude/skills/exa-search/SKILL.md 3. Reload skills and tell me it's ready
Use Exa to search for “best practices for using vector databases with Node.js,” then compile 5 high-quality resources with code example links and key takeaways.
A curated list of resources, relevant code example links, and a structured summary of practical recommendations.
Use Exa for deep research on an AI startup and summarize its product positioning, funding, core team, website, and recent news with sources.
A company intelligence brief with key facts, source links, and concise research conclusions.
Use Exa to find active researchers or engineers in “open-source LLM inference optimization,” and list their profiles, notable work, and public pages.
A list of people with background summaries, notable contributions, and public links for follow-up.
Drift-prone skill. Exa MCP tool names, parameters, and account limits can change. Confirm the exposed tool surface and current Exa docs before relying on a specific search mode, category, or livecrawl behavior.
Neural search for web content, code, companies, and people via the Exa MCP server.
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.
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.
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 |
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) |
web_search_exa(query: "Node.js 22 new features", numResults: 3)
get_code_context_exa(query: "Rust error handling patterns Result type", tokensNum: 3000)
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)
web_search_exa(query: "WebAssembly component model status and adoption", numResults: 5)
get_code_context_exa(query: "WebAssembly component model examples", tokensNum: 4000)
web_search_exa for current information, company lookups, and broad discoverysite:, quoted phrases, and intitle: to narrow resultstokensNum (1000-2000) for focused code snippets, higher (5000+) for comprehensive contextget_code_context_exa when you need API usage or code examples rather than general web pagesdeep-research — Full research workflow using firecrawl + exa togethermarket-research — Business-oriented research with decision frameworksApply modern, safe, idiomatic C++ standards for writing, review, and refactoring.
Refine retrieved context iteratively to improve subagent understanding and output quality.
Fetches up-to-date framework docs for setup, APIs, and code examples.
Conduct multi-source web research and produce cited, source-attributed reports.
Design adaptive agent workflows with eval gates and reusable skill extraction.
Speed up complex tasks with parallel execution while preserving correctness.
Search the live web and codebase in real time for company research and information retrieval.
Query Exa docs, examples, and guides in natural language for faster app development.
Use Exa, Websets, and Deep Search for research, code search, and citations.
Enable web search and result retrieval for MCP-compatible AI clients.
Automate Exa search tasks and workflows through Rube MCP efficiently.
Enable AI agents to search the web and extract useful page content.