c4pt0r/mcp-server-tidb

Overview

An MCP server that enables AI agents to query and interact with TiDB databases. It implements the Model Context Protocol to provide structured database access for AI tools. Built in Python, it connects to TiDB instances and exposes database operations as MCP tools.

Best for

Best for
Developers building AI agents that need to access TiDB databases

Use cases

• Query TiDB databases from AI assistants
• Execute SQL operations through MCP-compatible clients
• Integrate TiDB data retrieval into AI workflows

How to use

Install

uv pip install -e .

Tested with

Claude Desktop

Example client config

{\n  "mcpServers": {\n      "tidb": {\n          "command": "uv",\n          "args": [\n              "--directory",\n              "/path/to/mcp-server-tidb",\n              "run",\n              "src/main.py"\n          ]\n      }\n  }\n}

Notes

An MCP server that enables AI agents to query and interact with TiDB databases. It implements the Model Context Protocol to provide structured database access for AI tools. Built in Python, it connects to TiDB instances and exposes database operations as MCP tools.

23 stars on GitHub. Last updated 2025-04-15. Licensed Apache-2.0.

Use cases

• Query TiDB databases from AI assistants
• Execute SQL operations through MCP-compatible clients
• Integrate TiDB data retrieval into AI workflows

Pros

• Simple setup for TiDB connectivity via MCP
• Leverages standard MCP protocol for interoperability
• Lightweight Python implementation

Cons

• Limited community support with only 23 stars
• Requires running a separate MCP server process
• May lack advanced features for complex database operations

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.