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FAQ

What is the Model Context Protocol (MCP)?

The Model Context Protocol (MCP) is an open standard that allows LLMs to interact with external tools and data sources, enabling seamless integration and interaction.

How do I set up the MCP Server for MCP Servers?

To set up the MCP Server, create a virtual environment, install dependencies, and run the server with the MCP Inspector using your database credentials.

What are the key features of the MCP Server?

The MCP Server includes tools for executing queries and verifying connections, resources for accessing schema information, and prompts for generating queries.

Can I extend the MCP Server to create my own AI tool connectors?

Yes, the MCP Server template is designed to be easily extendable, allowing developers to create custom AI tool connectors tailored to their specific needs.

What are the prerequisites for using the MCP Server?

The prerequisites include Python 3.8+, uv package manager, npx (included with Node.js), and a PostgreSQL database you can connect to.

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