# datasource-mcp

> datasource-mcp — wangguoxi0814-datasource-mcp. Use this tool when you need to execute SQL queries using natural language inputs, enabling AI clients like Cursor and Claude Desktop to interact with MySQL databases. It solves problems of complex query formulation and database accessibility, providing a user-friendly interface for querying data. The datasource-mcp server takes natural language queries as input and returns relevant data outputs, ideal for use cases where simplicity and ease of use are essential.

Canonical page: https://skillsregistry.net/skills/wangguoxi0814-datasource-mcp  
JSON: https://api.skillsregistry.net/v1/skills/wangguoxi0814-datasource-mcp

## Description

MySQL datasource MCP server for AI clients like Cursor and Claude Desktop, enabling SQL query execution via natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a7y2y017hb)
- **Repository:** <https://github.com/wangguoxi0814/datasource-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "wangguoxi0814-datasource-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wangguoxi0814-datasource-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wangguoxi0814-datasource-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt