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MCP Database Server

by cherl

This is a database query server based on the Model Context Protocol (MCP), implemented in TypeScript. It allows AI models to securely query relational databases like MySQL and PostgreSQL.

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What is MCP Database Server?

The MCP Database Server is a TypeScript-based server that enables AI models to securely query relational databases using the Model Context Protocol (MCP). It provides a controlled interface for accessing and retrieving data from databases like MySQL and PostgreSQL.

How to use MCP Database Server?

To use the server, clone the repository, install dependencies using cnpm, configure the database connection details in the .env file, build the project, and then run the server. AI models can then interact with the server using MCP requests to list tables, retrieve table schemas, and execute read-only SQL queries.

Key features of MCP Database Server

  • Supports MySQL and PostgreSQL databases

  • Provides table structure information as resources

  • Supports read-only SQL query execution

  • Uses transactions to ensure query security

Use cases of MCP Database Server

  • Allowing AI models to access and analyze data stored in relational databases

  • Building AI-powered applications that require database access

  • Providing a secure and controlled interface for AI models to query databases

  • Enabling AI models to understand database schemas and data relationships

FAQ from MCP Database Server

What databases are supported?

The server currently supports MySQL and PostgreSQL databases.

What type of SQL queries are allowed?

Only read-only SQL queries are supported to ensure data integrity and security.

How do I configure the database connection?

You need to configure the database connection details in the .env file.

What MCP functions are supported?

The server supports list_resources, read_resource, and db_query MCP functions.

What is the purpose of the MCP?

The Model Context Protocol (MCP) provides a standardized way for AI models to interact with external resources, such as databases, in a secure and controlled manner.