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Frequently Asked Questions about Exa MCP Server

Q: What is the Exa MCP Server?

A: The Exa MCP Server allows AI assistants like Claude to use the Exa AI Search API for web searches, providing real-time and structured web information.

Q: What is MCP (Model Context Protocol)?

A: MCP is a system that lets AI apps connect to external tools and data sources securely, allowing AI assistants to work with local services and APIs under user control.

Q: What are the prerequisites for installing the Exa MCP Server?

A: You need Node.js (v18 or higher), Claude Desktop installed, an Exa API key, and Git.

Q: How do I install the Exa MCP Server?

A: You can install it using NPM, Smithery, or manually by cloning the repository, installing dependencies, and building the project.

Q: How do I configure Claude Desktop to use the Exa MCP Server?

A: Edit the claude_desktop_config.json file to add the Exa server configuration, including your Exa API key and the path to the server executable.

Q: What search tools are available with the Exa MCP Server?

A: The server includes web_search, research_paper_search, and twitter_search tools. You can choose which tools to enable in the configuration.

Q: How do I test if the Exa MCP Server is working correctly?

A: Look for the 🔌 icon in Claude Desktop or use the MCP Inspector tool to execute search queries and view cached results.

Q: What do I do if I encounter the ‘Server Not Found’ error?

A: Verify the npm link is correctly set up, check the Claude Desktop configuration syntax, and ensure Node.js is properly installed.

Q: What if I have API key issues?

A: Confirm your EXA_API_KEY is valid, check the EXA_API_KEY is correctly set in the Claude Desktop config, and verify no spaces or quotes around the API key.

Q: How do I troubleshoot connection issues?

A: Restart Claude Desktop completely and check Claude Desktop logs for any error messages.

Q: Can I use the Exa MCP Server with UBOS Platform?

A: Yes, integrating the Exa MCP Server with the UBOS platform enhances the capabilities of your AI Agents, enabling them to access real-time information and make more informed decisions.

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