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Start a free trial on cloud.anythingmcp.com, add the MySQL / MariaDB in one click, then point your AI client (Claude, ChatGPT, Copilot or Cursor) at the generated MCP endpoint. No Docker, no git clone, zero engineering experience required.
Summary
Connect MySQL databases directly to AI agents via MCP. Query tables and run reports through natural language with AnythingMCP's read-only database connector.
Try asking
Example prompts for MySQL / MariaDB
Click any prompt to copy it. Paste into Claude, ChatGPT, Cursor, Gemini, Copilot or OpenClaw to run it against this connector.
Claude is AI and can make mistakes. Please double-check responses.
MySQL: Direct Database Access for AI
MySQL is one of the most popular relational databases worldwide. With AnythingMCP's database connector, you can expose your MySQL data directly as MCP tools — letting AI agents interact with your data using natural language.
Important: Read-Only Access
AnythingMCP's database connector is read-only by design. It supports only SELECT queries, with a maximum of 1000 rows per query. This ensures AI agents cannot accidentally modify or delete data.
Auto-Generated Tools
When you create a MySQL database connector, AnythingMCP automatically generates three tools:
| Tool | Description |
|---|---|
get_database_schema | Returns all tables, columns, and types |
get_example_queries | Suggests useful queries based on the schema |
execute_query | Executes a read-only SELECT query (max 1000 rows) |
Step-by-Step Guide
Step 1: Deploy AnythingMCP
curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d
Step 2: Create a Database Connector
Open the AnythingMCP dashboard at http://localhost:3000 and create a new Database connector. Select MySQL as the database type.
Step 3: Configure Connection
Enter your MySQL host, port, database name, username, and password. Always use SSL for production connections.
Step 4: Test the Connection
Use the dashboard to verify the connection and review the auto-discovered schema. The AI agent will use get_database_schema to understand your data structure.
Step 5: Connect to AI Agents
{
"mcpServers": {
"mysql": {
"url": "http://localhost:4000/mcp"
}
}
}
AI Agent Use Cases
- "Show me all customers from the last month"
- "What are the top selling products this quarter?"
- "Search for orders by customer email"
- "List all pending invoices"
- "How many active subscriptions do we have?"
Security Best Practices
- Dedicated DB user — Create a MySQL user with SELECT-only permissions
- SSL connections — Always use
require_secure_transport=ONfor production - Restrict databases — Only expose databases that are safe for AI access
- Connection limits — Set
MAX_USER_CONNECTIONSon the MySQL user - Network restrictions — Limit MySQL access to the AnythingMCP server IP
Next Steps
- MariaDB to MCP Guide — MariaDB-specific setup
- PostgreSQL to MCP Guide — PostgreSQL-specific setup
- Database to MCP Guide — All supported databases
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