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Exa MCP Server

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Databricks2026-04-25 收录
下载链接:
https://marketplace.databricks.com/details/618623cf-2479-4869-a17c-5ef7b0e8e0f7/Exa_Exa-MCP-Server
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**This MCP server is not part of the Databricks Services, and its use is subject to the source's license terms. The MCP server and the information below are reproduced here for your convenience from publicly available listings. Any issues should be submitted to the MCP provider.** **Overview** The Exa MCP Server connects AI assistants to Exa's neural search engine for high-quality web search, code search, and company research. Unlike traditional keyword search, Exa uses embeddings-based retrieval to find semantically relevant results and returns clean, ready-to-use content extracted from web pages — reducing the post-processing agents typically need to do with raw search results. The advanced search tool (off by default) adds powerful filtering: search by category (`company`, `news`, `people`, `financial report`), restrict to specific domains, filter by publish date, and control result depth (`auto` vs `deep`). Exa also provides pre-built Claude Code skills for common workflows like company research and financial report discovery. Connect at `https://mcp.exa.ai/mcp` or run locally via `npx -y exa-mcp-server` with your API key. **Tools** - `web_search_exa` (on by default) — Search the web and get clean, ready-to-use content - `get_code_context_exa` (on by default) — Find code examples and docs from GitHub, Stack Overflow, and documentation sites - `crawling_exa` (on by default) — Get full content of a specific webpage from a known URL - `web_search_advanced_exa` (off by default) — Advanced search with filters for domains, dates, categories, and result depth **Use Cases** - **Company research:** Discover companies in a space, find funding data, competitors, LinkedIn profiles, and recent news using the `company` and `people` categories. - **Technical documentation:** Search for code examples, API references, and implementation patterns across developer resources. - **Content extraction:** Crawl specific URLs and extract clean content for summarization or analysis. - **Market intelligence:** Build structured company lists with metadata (headcount, location, funding) using category-specific searches. - **Financial research:** Surface SEC filings, earnings reports, and investor presentations using the `financial report` category. **Learn More:** [github.com/exa-labs/exa-mcp-server](https://github.com/exa-labs/exa-mcp-server)
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