# git-telemetry-mcp

> git-telemetry-mcp — rootbid-git-telemetry-mcp. Use this tool when you need to analyze git repository history and generate smart commits, as it provides a Development Time Machine by processing git reflogs, commit history, and working directory deltas to inform AI-driven development decisions. It solves problems related to understanding code changes, identifying errors, and optimizing development workflows. The tool accepts git repository data as input and outputs temporal context and suggested commits, making it ideal for use in development environments where version control and collaboration are crucial.

Canonical page: https://skillsregistry.net/skills/rootbid-git-telemetry-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rootbid-git-telemetry-mcp

## Description

Provides AI assistants with a Development Time Machine by analyzing git reflogs, commit history, working directory deltas, and shell history for temporal context, including safe git operations and smart commit generation.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zi8v41hjd2)
- **Repository:** <https://github.com/rootbid/git-telemetry-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": "rootbid-git-telemetry-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rootbid-git-telemetry-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rootbid-git-telemetry-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