# mcp_server

> Use this tool when you need to manage Git repositories and collaborate on code development, solving version control and team coordination problems. It takes Git commands as input and outputs repository updates, allowing for seamless integration with development workflows. Ideal for development teams, it streamlines code management and tracking in various project contexts.

Canonical page: https://skillsregistry.net/skills/datacool-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/datacool-mcp-server

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/datacool/mcp_server)
- **Repository:** <https://github.com/datacool/MCP_Server>

## 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": "datacool-mcp-server"
    }
  }
}
```

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