MySQL MCP Server
Read-only access to MySQL databases with query sanitization, Cloud SQL Proxy support, and remote HTTP deployment.
README
MySQL MCP Server
A Model Context Protocol (MCP) server for MySQL databases. Provides safe, read-only access to MySQL databases with automatic query sanitization, Google Cloud SQL Proxy support, and remote HTTP deployment options.
Features
- Read-Only Access: All queries are sanitized to ensure only read operations are allowed
- Google Cloud SQL Proxy: Built-in support for connecting to Cloud SQL instances
- Remote HTTP Mode: Deploy as a remote service with API key authentication
- Docker Support: Production-ready Docker images for easy deployment
- Token Optimization: Results are automatically limited to minimize token usage
Quick Start
Local Usage with Claude Code
Add to your project's .mcp.json:
{
"mcpServers": {
"mysql": {
"command": "npx",
"args": ["-y", "@matpb/mysql-mcp-server"],
"env": {
"MYSQL_HOST": "localhost",
"MYSQL_PORT": "3306",
"MYSQL_USER": "your_username",
"MYSQL_PASSWORD": "your_password",
"MYSQL_DATABASE": "your_database"
}
}
}
}
Remote HTTP Server
Deploy as a remote service and connect from anywhere:
{
"mcpServers": {
"mysql": {
"type": "http",
"url": "https://your-server.example.com/mcp",
"headers": {
"X-API-Key": "your-api-key"
}
}
}
}
Available Tools
| Tool | Description |
|---|---|
show_tables |
List all tables in the database |
describe_table |
Get detailed schema information for a table |
execute_query |
Execute any read-only SQL query |
Configuration
Environment Variables
Copy .env.example to .env and configure:
cp .env.example .env
MySQL Connection
| Variable | Default | Description |
|---|---|---|
MYSQL_HOST |
localhost |
MySQL server host |
MYSQL_PORT |
3306 |
MySQL server port |
MYSQL_USER |
root |
MySQL username |
MYSQL_PASSWORD |
- | MySQL password |
MYSQL_DATABASE |
- | Database name |
MYSQL_CONNECTION_LIMIT |
10 |
Connection pool size |
MYSQL_CONNECT_TIMEOUT |
60000 |
Connection timeout (ms) |
Query Settings
| Variable | Default | Description |
|---|---|---|
QUERY_TIMEOUT |
30000 |
Query timeout (ms) |
MAX_ROWS |
1000 |
Maximum rows returned |
HTTP Transport (Remote Mode)
| Variable | Default | Description |
|---|---|---|
MCP_TRANSPORT |
stdio |
Transport mode: stdio or http-stream |
MCP_PORT |
8080 |
HTTP server port |
API_KEYS |
- | Comma-separated API keys for authentication |
CORS_ORIGIN |
* |
CORS allowed origin |
Google Cloud SQL Proxy
| Variable | Default | Description |
|---|---|---|
CLOUD_SQL_PROXY_ENABLED |
false |
Enable Cloud SQL Proxy |
CLOUD_SQL_INSTANCE |
- | Instance connection name (project:region:instance) |
CLOUD_SQL_PROXY_PORT |
3307 |
Local proxy port |
GOOGLE_APPLICATION_CREDENTIALS |
- | Path to service account JSON |
CLOUD_SQL_PROXY_AUTO_DOWNLOAD |
true |
Auto-download proxy binary |
CLOUD_SQL_PROXY_STARTUP_TIMEOUT |
30000 |
Startup timeout (ms) |
Docker Deployment
Project Structure
mysql-mcp-server/
├── docker/
│ ├── Dockerfile # Standard Docker image
│ ├── Dockerfile.digitalocean # Image with baked-in credentials
│ ├── docker-compose.yml # Docker Compose configuration
│ └── .env.example # Docker environment template
├── src/ # Source code
└── .env.example # Environment template
Build and Run Locally
# Copy and configure environment
cp docker/.env.example .env
# Edit .env with your settings:
# - Set API_KEYS for authentication
# - Configure MySQL connection
# - (Optional) Configure Cloud SQL Proxy
# Build and start
cd docker
docker compose up -d
# View logs
docker compose logs -f
# Stop
docker compose down
Deploy to Cloud Platforms
Step 1: Prepare Credentials (if using Cloud SQL)
# Create a service account
gcloud iam service-accounts create mysql-mcp-server \
--display-name="MySQL MCP Server"
# Grant Cloud SQL Client role
gcloud projects add-iam-policy-binding YOUR_PROJECT_ID \
--member="serviceAccount:mysql-mcp-server@YOUR_PROJECT_ID.iam.gserviceaccount.com" \
--role="roles/cloudsql.client"
# Generate key file
gcloud iam service-accounts keys create docker/service-account.json \
--iam-account=mysql-mcp-server@YOUR_PROJECT_ID.iam.gserviceaccount.com
Step 2: Build for AMD64
Most cloud platforms run AMD64. Build with:
docker buildx build --platform linux/amd64 \
-f docker/Dockerfile.digitalocean \
-t your-registry.com/mysql-mcp-server:latest \
--push .
Step 3: Configure Environment Variables
Set these in your cloud platform:
| Variable | Value |
|---|---|
MCP_TRANSPORT |
http-stream |
MCP_PORT |
8080 |
API_KEYS |
Your secure API key |
MYSQL_USER |
Database username |
MYSQL_PASSWORD |
Database password (mark as secret) |
MYSQL_DATABASE |
Database name |
CLOUD_SQL_PROXY_ENABLED |
true (if using Cloud SQL) |
CLOUD_SQL_INSTANCE |
project:region:instance |
Step 4: Connect from Claude Code
{
"mcpServers": {
"mysql": {
"type": "http",
"url": "https://your-deployment-url.com/mcp",
"headers": {
"X-API-Key": "your-secure-api-key"
}
}
}
}
Test Your Deployment
curl -X POST https://your-server.com/mcp \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-H "X-API-Key: your-api-key" \
-d '{"jsonrpc":"2.0","method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}},"id":1}'
Google Cloud SQL Proxy
Local Development
For local development, use Application Default Credentials:
# Install gcloud CLI
brew install google-cloud-sdk # macOS
# Authenticate
gcloud auth application-default login
Then configure your .mcp.json:
{
"mcpServers": {
"mysql": {
"command": "npx",
"args": ["-y", "@matpb/mysql-mcp-server"],
"env": {
"CLOUD_SQL_PROXY_ENABLED": "true",
"CLOUD_SQL_INSTANCE": "your-project:region:instance",
"MYSQL_USER": "your_username",
"MYSQL_PASSWORD": "your_password",
"MYSQL_DATABASE": "your_database"
}
}
}
}
Production with Service Account
{
"env": {
"GOOGLE_APPLICATION_CREDENTIALS": "/path/to/service-account.json",
"CLOUD_SQL_PROXY_ENABLED": "true",
"CLOUD_SQL_INSTANCE": "your-project:region:instance"
}
}
Security
Query Sanitization
The server automatically rejects:
- Data modification:
INSERT,UPDATE,DELETE,DROP,CREATE,ALTER,TRUNCATE - Transactions:
BEGIN,COMMIT,ROLLBACK - File operations:
INTO OUTFILE,INTO DUMPFILE - Lock operations:
LOCK TABLES,FOR UPDATE
Allowed Operations
SELECTqueriesSHOWcommandsDESCRIBE/DESCcommandsEXPLAINqueriesWITHclauses (CTEs)
Best Practices
- Use HTTPS in production (via reverse proxy or cloud platform)
- Generate strong API keys:
openssl rand -hex 32 - Restrict CORS to specific domains
- Rotate API keys regularly
- Never commit
.envfiles or service account credentials
Development
# Install dependencies
npm install
# Build
npm run build
# Run in stdio mode (local)
npm start
# Run in HTTP mode
MCP_TRANSPORT=http-stream API_KEYS=test-key npm start
# Watch mode
npm run watch
Troubleshooting
Cloud SQL Proxy Errors
"could not find default credentials"
- Run
gcloud auth application-default login - Or set
GOOGLE_APPLICATION_CREDENTIALSto your service account file
"Access denied for user"
- Verify MySQL username/password
- Check that your service account has
Cloud SQL Clientrole
HTTP Transport Errors
"Session not found"
- The MCP client must send proper session headers
- Test with the MCP Inspector:
npx @modelcontextprotocol/inspector
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.