Quorum Git Agent

Repository intelligence for engineering teams, available through a visual dashboard, REST API and Model Context Protocol tools.

Quorum inspects a public GitHub repository, calculates a transparent health score, triages open issues, highlights delivery risks and stores every report in SQLite. It works without an LLM key; an MCP-compatible host can use the tools immediately.

What it demonstrates

• Python 3.11 and FastAPI service design
• GitHub REST API integration with rate-limit handling
• SQL persistence with migrations created on startup
• MCP tools built with the official Python SDK
• deterministic repository scoring and issue triage
• responsive dashboard with no frontend build step
• pytest, Ruff, Docker and GitHub Actions

Architecture

flowchart LR
    UI[Dashboard] --> API[FastAPI REST API]
    HOST[MCP host] --> MCP[MCP server]
    API --> ENGINE[Analysis engine]
    MCP --> ENGINE
    ENGINE --> GH[GitHub REST API]
    ENGINE --> DB[(SQLite)]

Quick start

git clone https://github.com/rom4ik1346/quorum-git-agent.git
cd quorum-git-agent
python -m venv .venv
.\.venv\Scripts\python.exe -m pip install -e ".[dev]"
.\start.ps1

Open:

• dashboard: http://127.0.0.1:8010
• Swagger UI: http://127.0.0.1:8010/docs
• health check: http://127.0.0.1:8010/api/health

The dashboard starts with a seeded fictional repository report, so the interface is useful before the first external API request.

GitHub token

Public repositories can be analyzed without a token. To increase the API rate limit, copy .env.example to .env and add a fine-grained token:

GITHUB_TOKEN=github_pat_your_token

The token is read only on the server and is never returned to the browser.

MCP server

Run the stdio server:

.\.venv\Scripts\python.exe -m app.mcp_server

Example client configuration:

{
  "mcpServers": {
    "quorum": {
      "command": "C:\\path\\to\\quorum-git-agent\\.venv\\Scripts\\python.exe",
      "args": ["-m", "app.mcp_server"],
      "cwd": "C:\\path\\to\\quorum-git-agent"
    }
  }
}

Available tools:

• analyze_repository
• list_recent_analyses
• get_repository_brief
• create_action_item

REST examples

Invoke-RestMethod `
  -Method Post `
  -Uri http://127.0.0.1:8010/api/analyses `
  -ContentType "application/json" `
  -Body '{"repository":"fastapi/fastapi"}'

Invoke-RestMethod http://127.0.0.1:8010/api/analyses

Tests

.\.venv\Scripts\python.exe -m ruff check .
.\.venv\Scripts\python.exe -m pytest --cov=app

Docker

docker compose up --build

The SQLite database is stored in the quorum-data volume.

Project structure

app/
  analyzer.py       transparent scoring and issue triage
  database.py       SQLite repository
  github_client.py  async GitHub REST client
  main.py           FastAPI application
  mcp_server.py     MCP tool surface
  static/           dashboard
tests/              unit and API tests

License

MIT