FreePeak/db-mcp-server

Overview

FreePeak/db-mcp-server is a Go-based server that implements the Model Context Protocol (MCP) to give AI assistants structured access to multiple databases. It acts as a bridge, allowing language models to query and interact with databases through a standardized interface.

Best for

Best for
Developers building AI assistants that need direct, structured database access via the Model Context Protocol

Use cases

• Enabling AI assistants to run SQL queries against production databases
• Providing structured database access for AI-driven data analysis tools
• Integrating database interactions into MCP-compatible AI workflows

How to use

Install

make build && ./bin/server

Tools exposed

• query
• execute
• transaction
• schema
• performance

Tested with

Cursor, ChatGPT

Example client config

{\n  "connections": [\n    {\n      "id": "mysql1",\n      "type": "mysql",\n      "host": "localhost",\n      "port": 3306,\n      "name": "db1",\n      "user": "user1",\n      "password": "password1"\n    },\n    {\n      "id": "postgres1",\n      "type": "postgres",\n      "host": "localhost",\n      "port": 5432,\n      "name": "db2",\n      "user": "user2",\n      "password": "password2"\n    },\n    {\n      "id": "oracle1",\n      "type": "oracle",\n      "host": "localhost",\n      "port": 1521,\n      "service_name": "XEPDB1",\n      "user": "user3",\n      "password": "password3"\n    }\n  ]\n}

Notes

FreePeak/db-mcp-server is a Go-based server that implements the Model Context Protocol (MCP) to give AI assistants structured access to multiple databases. It acts as a bridge, allowing language models to query and interact with databases through a standardized interface.

384 stars on GitHub. Last updated 2026-04-19. Licensed MIT.

Use cases

• Enabling AI assistants to run SQL queries against production databases
• Providing structured database access for AI-driven data analysis tools
• Integrating database interactions into MCP-compatible AI workflows

Pros

• Written in Go, offering good performance and low resource usage
• Supports multiple database types through a single MCP interface
• Open source with a growing community (384 stars)

Cons

• Requires MCP-compatible AI assistants, limiting direct usability
• Documentation may be sparse for advanced configuration
• Not a full ORM; focuses on raw query access

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.