MySQL Schema MCP Server
A server for retrieving MySQL database schema information using the FastMCP framework.
Documentation
MySQL Schema MCP Server
A Metadata Change Proposal (MCP) server for retrieving MySQL database schema information using the FastMCP framework.
Features
- Retrieve database list
- Retrieve table list from databases
- Get table schema (columns) information
- Get table indexes information
- Get table foreign key information
Setup
Local Setup with uv
- Clone this repository
- Install uv if you don't have it already:
pip install uv - Create a virtual environment and install dependencies:
uv venv uv pip install -r requirements.txt - Create a
.envfile based on.env.examplewith your MySQL connection details:MYSQL_HOST=localhost MYSQL_PORT=3306 MYSQL_USER=your_username MYSQL_PASSWORD=your_password MYSQL_DATABASE=information_schema
Local Setup with pip
- Clone this repository
- Install dependencies:
pip install -r requirements.txt - Create a
.envfile based on.env.examplewith your MySQL connection details:MYSQL_HOST=localhost MYSQL_PORT=3306 MYSQL_USER=your_username MYSQL_PASSWORD=your_password MYSQL_DATABASE=information_schema
Docker Setup
Building and Running the Docker Image
-
Clone this repository
-
Build the Docker image:
docker build -t mysql-mcp-server . -
Run the Docker container with environment variables for MySQL connection:
docker run -p 8000:8000 \ -e MYSQL_HOST=host.docker.internal \ -e MYSQL_PORT=3306 \ -e MYSQL_USER=your_username \ -e MYSQL_PASSWORD=your_password \ -e MYSQL_DATABASE=information_schema \ mysql-mcp-serverNote:
host.docker.internalis used to connect to the MySQL instance running on your host machine from inside the Docker container. -
For Mac and Windows,
host.docker.internalresolves to the host machine. For Linux, you may need to use:docker run -p 8000:8000 \ --add-host=host.docker.internal:host-gateway \ -e MYSQL_HOST=host.docker.internal \ -e MYSQL_USER=your_username \ -e MYSQL_PASSWORD=your_password \ mysql-mcp-server
Usage
Local Usage
Start the server:
python main.py
Docker Usage
Run the Docker container (as shown in the setup section):
docker run -p 8000:8000 \
-e MYSQL_HOST=host.docker.internal \
-e MYSQL_USER=your_username \
-e MYSQL_PASSWORD=your_password \
mysql-mcp-server
You can also create a .env file and mount it to the container:
docker run -p 8000:8000 \
-v $(pwd)/.env:/app/.env \
mysql-mcp-server
MCP JSON Configuration
To use this MCP server with MCP-compatible clients, you'll need to configure the client with the appropriate JSON configuration. Here are examples for both local and Docker setups:
Local MCP Configuration
{
"mcpServers": {
"mysql-schema": {
"command": "python",
"args": [
"main.py"
],
"cwd": "/path/to/mcp-first",
"alwaysAllow": [
"databases",
"tables",
"schema",
"indexes",
"foreign_keys"
]
}
}
}
Docker MCP Configuration
{
"mcpServers": {
"mysql-schema": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"MYSQL_HOST=host.docker.internal",
"-e",
"MYSQL_USER=your_username",
"-e",
"MYSQL_PASSWORD=your_password",
"mysql-mcp-server"
],
"alwaysAllow": [
"databases",
"tables",
"schema",
"indexes",
"foreign_keys"
]
}
}
}
Available Tools
The server provides the following tools:
databases: List all databasestables: List all tables in a databaseschema: Get the schema (columns, indexes, and foreign keys) for one or more tables.indexes: Get the indexes for a specific tableforeign_keys: Get the foreign keys for a specific table
Example
from fastmcp.client import Client
# Connect to the MCP server
client = Client("http://localhost:8000")
# List all databases
databases = client.databases()
# List tables in a specific database
tables = client.tables(database="your_database")
# Get schema for a specific table
schema = client.schema(tables=["your_table"], database="your_database")
# Get schema for multiple tables
schemas = client.schema(tables=["table1", "table2"], database="your_database")
# Get indexes for a specific table
indexes = client.indexes(table="your_table", database="your_database")
# Get foreign keys for a specific table
foreign_keys = client.foreign_keys(table="your_table", database="your_database")