exa-mcp-server

exa-labs/exa-mcp-server

4.3

exa-mcp-server is hosted online, so all tools can be tested directly either in theInspector tabor in theOnline Client.

If you are the rightful owner of exa-mcp-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

A Model Context Protocol (MCP) server allows AI assistants to use the Exa AI Search API for real-time web searches in a secure manner.

Try exa-mcp-server with chat:

Tools

Functions exposed to the LLM to take actions

web_search_exa

Search the web using Exa AI - performs real-time web searches and can scrape content from specific URLs. Supports configurable result counts and returns the content from the most relevant websites.

company_research_exa

Research companies using Exa AI - finds comprehensive information about businesses, organizations, and corporations. Provides insights into company operations, news, financial information, and industry analysis.

crawling_exa

Extract and crawl content from specific URLs using Exa AI - retrieves full text content, metadata, and structured information from web pages. Ideal for extracting detailed content from known URLs.

linkedin_search_exa

Search LinkedIn profiles and companies using Exa AI - finds professional profiles, company pages, and business-related content on LinkedIn. Useful for networking, recruitment, and business research.

deep_researcher_start

Start a comprehensive AI-powered deep research task for complex queries. This tool initiates an intelligent agent that performs extensive web searches, crawls relevant pages, analyzes information, and synthesizes findings into a detailed research report. The agent thinks critically about the research topic and provides thorough, well-sourced answers. Use this for complex research questions that require in-depth analysis rather than simple searches. After starting a research task, IMMEDIATELY use deep_researcher_check with the returned task ID to monitor progress and retrieve results.

deep_researcher_check

Check the status and retrieve results of a deep research task. This tool monitors the progress of an AI agent that performs comprehensive web searches, analyzes multiple sources, and synthesizes findings into detailed research reports. The tool includes a built-in 5-second delay before checking to allow processing time. IMPORTANT: You must call this tool repeatedly (poll) until the status becomes 'completed' to get the final research results. When status is 'running', wait a few seconds and call this tool again with the same task ID.

Prompts

Interactive templates invoked by user choice

No prompts

Resources

Contextual data attached and managed by the client

No resources