TDengine Query MCP Server

A Model Context Protocol (MCP) server that provides read-only TDengine database queries for AI assistants. Execute queries, explore database structures, and investigate your data directly from your AI-powered tools.

Supported AI Tools

This MCP server works with any tool that supports the Model Context Protocol, including:

Cursor IDE: Set up in .cursor/mcp.json
Anthropic Claude: Use with a compatible MCP client
Other MCP-compatible AI assistants: Follow the tool's MCP configuration instructions

Features & Limitations

What It Does

✅ Execute read-only TDengine queries (SELECT, SHOW, DESCRIBE only)
✅ Work with predefined environments (local, development, staging, production)
✅ Provide database information and metadata
✅ List available database environments

What It Doesn't Do

❌ Execute write operations (INSERT, UPDATE, DELETE, CREATE, ALTER, etc.)
❌ Provide database design or schema generation capabilities
❌ Function as a full database management tool

This tool is designed specifically for data investigation and exploration through read-only queries. It is not intended for database administration, schema management, or data modification.

Quick Install

# Install globally with npm
uv pip install tdengine_mcp_server

# Or run directly with npx
uvx tdengine_mcp_server

Configuration Options

Environment Variable	Description	Default
LOG_LEVEL	Set the log level (DEBUG, INFO, WARN, ERROR)	INFO
TDENGINE_HOST	Database host for environment	-
TDENGINE_PORT	Database port	-
TDENGINE_USERNAME	Database username	-
TDENGINE_PASSWORD	Database password	-
TDENGINE_DATABASE	Database name	3306
TDENGINE_TIMEOUT	Set the connection timeout in seconds	30

Integration with AI Assistants

Your AI assistant can interact with TDengine databases through the MCP server. Here are some examples:

Example queries:

Can you use the query tool to show me the first 10 records from the database?

I need to analyze our sales data. Can you run a SQL query to get the total sales per region for last month from the development database?

Can you list all the available databases we have?

Using TDengine MCP Tools

The TDengine Query MCP server provides three main tools that your AI assistant can use:

1. query

Execute read-only SQL queries against a specific environment:

Use the query tool to run:

SELECT * FROM customers WHERE itemid > '2025-01-01' LIMIT 10;

on the development environment

2. info

Get detailed information about your stable:

Use the info tool to check the meta info about the specified stable.

Security Considerations

✅ Only read-only queries are allowed (SELECT, SHOW, DESCRIBE)
✅ Query timeouts prevent runaway operations

Troubleshooting

Connection Issues

If you're having trouble connecting:

Verify your database credentials in your MCP configuration
Ensure the TDengine server is running and accessible
Check for firewall rules blocking connections
Enable debug mode by setting LOG_LEVEL in your configuration

Common Errors

Error: No connection pool available for environment

Make sure you've defined all required environment variables for that environment

Error: Query execution failed

Verify your SQL syntax
Check that you're only using supported query types (SELECT, SHOW, DESCRIBE)
Ensure your query is truly read-only

For more comprehensive troubleshooting, see the Troubleshooting Guide.

For examples of how to integrate with AI assistants, see the Integration Examples.

For implementation details about the MCP protocol, see the MCP README.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

For more information or support, please open an issue on the GitHub repository.

TDengine Query MCP Server