XGenerationLab/xiyan_mcp_server

Overview

An MCP server that accepts natural language queries and translates them into database queries. It implements the Model Context Protocol to enable AI assistants and other MCP clients to query databases using plain language.

Best for

Best for
Developers who want to add natural language database querying to MCP-based AI assistants or tools

Use cases

• Query databases via natural language from an MCP-compatible AI assistant
• Build a natural language interface for existing databases without writing SQL
• Integrate database querying into MCP-based workflows and tools

How to use

Install

pip install xiyan-mcp-server

Tools exposed

• get_data

Tested with

Claude Desktop, Cline, Cursor, Goose

Example client config

mcp:\n  transport: "stdio"\nmodel:\n  name: "XGenerationLab/XiYanSQL-QwenCoder-32B-2412"\n  key: ""\n  url: "https://api-inference.modelscope.cn/v1/"\ndatabase:\n  host: "localhost"\n  port: 3306\n  user: "root"\n  password: ""\n  database: ""

Notes

An MCP server that accepts natural language queries and translates them into database queries. It implements the Model Context Protocol to enable AI assistants and other MCP clients to query databases using plain language.

236 stars on GitHub. Last updated 2026-02-11. Licensed Apache-2.0.

Use cases

• Query databases via natural language from an MCP-compatible AI assistant
• Build a natural language interface for existing databases without writing SQL
• Integrate database querying into MCP-based workflows and tools

Pros

• Open source and written in Python, easy to extend or modify
• Leverages the standard MCP protocol for interoperability with MCP clients
• Lightweight server with a focused purpose

Cons

• Requires an MCP-compatible client to interact with the server
• Database support is limited to what the server’s underlying adapter provides
• Relatively new project with limited community documentation and examples

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