# github-assistant-mcp

> github-assistant-mcp — imshashwatsingh-github-assitant-mcp. Use this tool when you need to inspect and analyze local workspace files, search context, and git diffs in a sandboxed environment. It solves problems related to code review, debugging, and version control by providing a read-only interface for AI assistants to access and process relevant data. The tool accepts local file inputs and outputs inspection results, making it ideal for use cases where secure and controlled access to workspace data is required.

Canonical page: https://skillsregistry.net/skills/imshashwatsingh-github-assitant-mcp  
JSON: https://api.skillsregistry.net/v1/skills/imshashwatsingh-github-assitant-mcp

## Description

A read-only MCP server that lets AI assistants inspect local workspace files, search context, view git diffs, and fetch a fixed GitHub profile, all within a sandboxed stdio transport.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lmza2l63d4)
- **Repository:** <https://github.com/imshashwatsingh/github-assitant-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": "imshashwatsingh-github-assitant-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/imshashwatsingh-github-assitant-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/imshashwatsingh-github-assitant-mcp/pull`

---
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