DB Connector (MySQL/PostgreSQL) MCP server

Enables direct interaction with MySQL and PostgreSQL databases through a Go-based connectivity layer that supports both local stdio and production SSE transport modes for querying, analyzing, and manipulating structured data.
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Provider
Free Peak
Release date
Mar 17, 2025
Language
Go
Stats
164 stars

The DB MCP Server is a powerful tool that allows AI assistants to interact with multiple databases simultaneously through a standardized Model Context Protocol (MCP). It provides a unified interface for executing SQL queries, managing transactions, exploring schemas, and analyzing performance across different database systems.

Installation

Docker Deployment

# Pull the latest image
docker pull freepeak/db-mcp-server:latest

# Run with mounted config file
docker run -p 9092:9092 \
  -v $(pwd)/config.json:/app/my-config.json \
  -e TRANSPORT_MODE=sse \
  -e CONFIG_PATH=/app/my-config.json \
  freepeak/db-mcp-server

STDIO Mode (IDE Integration)

# Run the server in STDIO mode
./bin/server -t stdio -c config.json

For Cursor IDE integration, add to .cursor/mcp.json:

{
  "mcpServers": {
    "stdio-db-mcp-server": {
      "command": "/path/to/db-mcp-server/server",
      "args": ["-t", "stdio", "-c", "/path/to/config.json"]
    }
  }
}

SSE Mode (Server-Sent Events)

# Default configuration (localhost:9092)
./bin/server -t sse -c config.json

# Custom host and port
./bin/server -t sse -host 0.0.0.0 -port 8080 -c config.json

Client connection endpoint: http://localhost:9092/sse

Source Code Installation

# Clone the repository
git clone https://github.com/FreePeak/db-mcp-server.git
cd db-mcp-server

# Build the server
make build

# Run the server
./bin/server -t sse -c config.json

Configuration

Database Configuration File

Create a config.json file with your database connections:

{
  "connections": [
    {
      "id": "mysql1",
      "type": "mysql",
      "host": "mysql1",
      "port": 3306,
      "name": "db1",
      "user": "user1",
      "password": "password1",
      "query_timeout": 60,
      "max_open_conns": 20,
      "max_idle_conns": 5,
      "conn_max_lifetime_seconds": 300,
      "conn_max_idle_time_seconds": 60
    },
    {
      "id": "postgres1",
      "type": "postgres",
      "host": "postgres1",
      "port": 5432,
      "name": "db1",
      "user": "user1",
      "password": "password1"
    }
  ]
}

Command-Line Options

# Basic syntax
./bin/server -t <transport> -c <config-file>

# SSE transport options
./bin/server -t sse -host <hostname> -port <port> -c <config-file>

# Inline database configuration
./bin/server -t stdio -db-config '{"connections":[...]}'

# Environment variable configuration
export DB_CONFIG='{"connections":[...]}'
./bin/server -t stdio

Available Tools

For each database connection, the server generates specialized tools automatically:

Query Tools

Tool Name Description
query_<db_id> Execute SELECT queries and get results as a tabular dataset
execute_<db_id> Run data manipulation statements (INSERT, UPDATE, DELETE)
transaction_<db_id> Begin, commit, and rollback transactions

Schema Tools

Tool Name Description
schema_<db_id> Get information about tables, columns, indexes, and foreign keys
generate_schema_<db_id> Generate SQL or code from database schema

Performance Tools

Tool Name Description
performance_<db_id> Analyze query performance and get optimization suggestions

TimescaleDB Tools

Additional tools are available for PostgreSQL databases with TimescaleDB extension:

Tool Name Description
timescaledb_<db_id> Perform general TimescaleDB operations
create_hypertable_<db_id> Convert a standard table to a TimescaleDB hypertable
list_hypertables_<db_id> List all hypertables in the database
time_series_query_<db_id> Execute optimized time-series queries with bucketing
time_series_analyze_<db_id> Analyze time-series data patterns
continuous_aggregate_<db_id> Create materialized views that automatically update
refresh_continuous_aggregate_<db_id> Manually refresh continuous aggregates

Usage Examples

Querying Multiple Databases

-- Query the first database
query_mysql1("SELECT * FROM users LIMIT 10")

-- Query the second database in the same context
query_postgres1("SELECT * FROM products WHERE price > 100")

Managing Transactions

-- Start a transaction
transaction_mysql1("BEGIN")

-- Execute statements within the transaction
execute_mysql1("INSERT INTO orders (customer_id, product_id) VALUES (1, 2)")
execute_mysql1("UPDATE inventory SET stock = stock - 1 WHERE product_id = 2")

-- Commit or rollback
transaction_mysql1("COMMIT")
-- OR
transaction_mysql1("ROLLBACK")

Exploring Database Schema

-- Get all tables in the database
schema_mysql1("tables")

-- Get columns for a specific table
schema_mysql1("columns", "users")

-- Get constraints
schema_mysql1("constraints", "orders")

Troubleshooting

Common Issues

  • Connection Failures: Verify network connectivity and database credentials
  • Permission Errors: Ensure the database user has appropriate permissions
  • Timeout Issues: Check the query_timeout setting in your configuration

Logs

Enable verbose logging for troubleshooting:

./bin/server -t sse -c config.json -v

How to add this MCP server to Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "cursor-rules-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "cursor-rules-mcp"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.

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