What features does Exa MCP server provide?

Q: What features does Exa MCP server provide?

get_code_context_exa: Search and get relevant code snippets, examples, and documentation from open source libraries, GitHub repositories, and programming frameworks. Perfect for finding up-to-date code documentation, implementation examples, API usage patterns, and best practices from real codebases.. web_search_exa: Performs real-time web searches with optimized results and content extraction.. deep_search_exa: Deep web search with smart query expansion and high-quality summaries for each result.. company_research_exa: Comprehensive company research tool that crawls company websites to gather detailed information about businesses.. crawling_exa: Extracts content from specific URLs, useful for reading articles, PDFs, or any web page when you have the exact URL.. linkedin_search_exa: Search LinkedIn for companies and people using Exa AI. Simply include company names, person names, or specific LinkedIn URLs in your query.. deep_researcher_start: Start a smart AI researcher for complex questions. The AI will search the web, read many sources, and think deeply about your question to create a detailed research report.. deep_researcher_check: Check if your research is ready and get the results. Use this after starting a research task to see if it's done and get your comprehensive report.

Exa MCP Server 2025: Features & Setup Guide

Overview

Exa MCP Server enables AI assistants to leverage Exa AI's search capabilities, including real-time web search, deep research tools, and a dedicated code search feature. It connects assistants like Claude to Exa's data sources and can be used as a remote hosted endpoint (https://mcp.exa.ai/mcp) or run locally via NPX. Configuration supports Cursor, Claude Code, and Claude Desktop through HTTP-based formats, as well as Codex-style setups with environment keys. By default, only web_search_exa and get_code_context_exa are enabled; additional tools can be activated with the tools parameter. The toolset includes: get_code_context_exa, web_search_exa, deep_search_exa, company_research_exa, crawling_exa, linkedin_search_exa, deep_researcher_start, and deep_researcher_check. The README provides examples for enabling specific tools, enabling all tools, and configuring API keys (EXA_API_KEY). This MCP server is built for developers and researchers who need live web results, curated code contexts, and structured research outputs to augment AI reasoning and automation across coding, browsing, and enterprise research workflows.

Features

get_code_context_exa

Search and get relevant code snippets, examples, and documentation from open source libraries, GitHub repositories, and programming frameworks. Perfect for finding up-to-date code documentation, implementation examples, API usage patterns, and best practices from real codebases.

web_search_exa

Performs real-time web searches with optimized results and content extraction.

deep_search_exa

Deep web search with smart query expansion and high-quality summaries for each result.

company_research_exa

Comprehensive company research tool that crawls company websites to gather detailed information about businesses.

crawling_exa

Extracts content from specific URLs, useful for reading articles, PDFs, or any web page when you have the exact URL.

linkedin_search_exa

Search LinkedIn for companies and people using Exa AI. Simply include company names, person names, or specific LinkedIn URLs in your query.

deep_researcher_start

Start a smart AI researcher for complex questions. The AI will search the web, read many sources, and think deeply about your question to create a detailed research report.

deep_researcher_check

Check if your research is ready and get the results. Use this after starting a research task to see if it's done and get your comprehensive report.