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MCP Database Server

by manpreet2000

The MCP Database Server is a Model Context Protocol (MCP) server implementation that enables Large Language Models (LLMs) to interact with databases using natural language. It currently supports MongoDB and plans to support other databases like PostgreSQL, CockroachDB, and Redis.

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What is MCP Database Server?

The MCP Database Server is a tool that allows LLMs to perform database operations using natural language commands. It acts as a bridge between LLMs and databases, translating natural language queries into database-specific commands.

How to use MCP Database Server?

To use the server, you need to configure it within your Claude Desktop configuration file, providing the path to the Node.js executable, the server's JavaScript file, and the MongoDB connection URI. Once configured, you can use natural language commands within Claude to interact with your database.

Key features of MCP Database Server

  • Database operations through natural language

  • Support for MongoDB (list collections, query documents, insert documents, delete documents, aggregate pipelines)

  • Future support for PostgreSQL, CockroachDB, and Redis

  • Integration with Claude Desktop Application

Use cases of MCP Database Server

  • Querying databases using natural language

  • Automating database tasks with LLMs

  • Building natural language interfaces for database management

  • Integrating databases with LLM-powered applications

FAQ from MCP Database Server

What databases are currently supported?

Currently, only MongoDB is supported. Support for PostgreSQL, CockroachDB, and Redis is planned for the future.

What is the Model Context Protocol (MCP)?

MCP is a protocol that allows LLMs to interact with external tools and services, such as databases.

How do I configure the server to connect to my database?

You need to configure the database connection in your Claude Desktop configuration file, providing the connection URI and other necessary details.

What kind of natural language commands can I use?

You can use commands to list collections, query documents, insert documents, delete documents, and perform aggregate pipeline operations.

How do I contribute to the project?

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.