Github Ops

An MCP server that provides operational tooling over the GitHub API — issue triage, PR review monitoring, repo health audits, and team access reviews. Built for use with Claude Code or Claude Desktop, it gives ops teams a conversational interface to automate the manual toil of managing GitHub-based workflows.

Quick Start

git clone https://github.com/avg-ape/github-ops-mcp.git
cd github-ops-mcp
python3 -m venv .venv
source .venv/bin/activate
pip install -e .

Optionally set a GitHub token for higher rate limits and write operations:

cp .env.example .env
# Edit .env and add your token

Use with Claude Code

Add to your Claude Code MCP config (~/.claude/settings.json):

{
  "mcpServers": {
    "github-ops": {
      "command": "/path/to/github-ops-mcp/.venv/bin/python",
      "args": ["-m", "github_ops_mcp.server"]
    }
  }
}

Then ask Claude things like:

• "Triage untriaged issues in pallets/flask"
• "Show me the PR review dashboard for my-org/my-repo"
• "Run a health audit on fastapi/fastapi"
• "Find stale PRs in my-org/backend that haven't been touched in 14 days"

Tools

Architecture

GitHub Client (github_client.py): Async HTTP client built on httpx — not a wrapper library like PyGitHub. Supports both REST and GraphQL endpoints, automatic pagination via Link headers, rate limit tracking, and structured error handling.

Why httpx over PyGitHub: Demonstrates understanding of HTTP fundamentals, async patterns, and API design. The client is ~120 lines and does exactly what's needed — no framework overhead.

REST vs GraphQL: REST for writes and simple reads. GraphQL for complex queries that would require multiple REST calls (e.g., PR reviews with check status in a single request).

Pydantic Models (models.py): All tool outputs are typed Pydantic models with human-readable __str__ methods. Claude gets structured data to reason about, not raw JSON dumps.

Rate Limiting: The client reads X-RateLimit-Remaining headers and surfaces clear errors when limits are hit. Works unauthenticated for public repos (60 req/hr) or authenticated with a personal access token (5,000 req/hr).

Development

# Install with dev dependencies
pip install -e ".[dev]"

# Run unit tests
pytest tests/ -v

# Run integration tests (hits real GitHub API)
pytest tests/ -v --integration

License

MIT