GitPilot MCP
An autonomous agent that automates GitHub contributions end-to-end, from issue analysis and code changes to pull requests, conflict resolution, and review updates.
README
GitPilot MCP
An autonomous MCP-powered agent that automates GitHub contributions end-to-end, from issue analysis and code changes to pull requests, conflict resolution, and review updates.
🚀 Overview
GitPilot MCP is an Autonomous GitHub Contribution Agent built using the Model Context Protocol (MCP). It helps developers and contributors automate the full open-source workflow:
- Forking repositories
- Analyzing issues
- Making code changes
- Running tests
- Creating pull requests
- Syncing with upstream changes
- Handling merge conflicts
- Updating PRs based on maintainer feedback
The agent is designed to be minimal, safe, and extensible, without overengineering.
✨ Key Features
- 🔁 Fork & clone GitHub repositories
- 🌿 Create and manage feature branches
- 🔄 Sync fork with upstream when new PRs are merged
- 🧠 Semantic code understanding using RAG
- ✍️ Generate minimal, clean git diffs
- 🧪 Run tests and retry fixes automatically
- 📦 Commit & push changes
- 🔀 Create pull requests programmatically
- 🛠️ Update existing PRs after review feedback
- ⚠️ Detect merge conflicts before PR updates
🧠 Architecture (High Level)
Issue → Code Context (RAG) → Patch → Tests → Commit → PR
↑
Sync / Review Feedback
The system follows real-world open-source contribution practices.
📂 Project Structure
mcp-github/
│
├── main.py # MCP server & tools
├── rag.py # RAG indexing and search
├── config.py # GitHub token & workspace
├── .rag/ # Vector store (local)
└── README.md
🧩 Installation & Setup
Make sure you have the following installed:
- Python 3.10+
- Git
- Claude Desktop (latest version)
- Ollama (for embeddings)
Step 1: Install uv
uv is used for dependency management and isolated execution.
pip install uv
Step 2: Clone the Repository
git clone https://github.com/<your-username>/GitPilot-MCP.git
cd GitPilot-MCP
Step 3: Initialize the Project (uv)
Initialize the project environment:
uv init
Step 4: Install Dependencies
Add all required dependencies:
uv add fastmcp gitpython pygithub python-dotenv numpy faiss-cpu ollama
Step 5: For MCP tools testing
uv run fastmcp dev main.py
⚙️ MCP Server Configuration
Use the following configuration to run the MCP server locally via uv + fastmcp in Claude-desktop:
paste this configuration in claudee-desktop-config file.
{
"mcpServers": {
"GitPilot-MCP": {
"command": "<PATH_TO_PYTHON>/Scripts/uv.exe",
"args": [
"run",
"--project",
"<PATH_TO_PROJECT_ROOT>",
"--directory",
"<PATH_TO_PROJECT_ROOT>",
"fastmcp",
"run",
"main.py"
],
"transport": "stdio"
}
}
}
🔐 Configuration
Create a config.py file:
GITHUB_TOKEN = "your_github_personal_access_token"
WORKSPACE = "./workspace"
⚠️ The token must have permissions to fork repositories and create pull requests.
🛠️ Available MCP Tools
Some important tools exposed by the agent:
fork_repoclone_repocreate_branchsync_with_upstreamindex_repoget_repo_contextapply_patchrun_testsretry_fix_with_testscommit_and_pushcreate_pull_requestcheck_for_conflictsupdate_pr_after_feedback
Each tool is single-responsibility and composable.
🧪 Testing Workflow
- Apply generated patch
- Run tests (
pytest -qby default) - Retry fixes automatically if tests fail
- Stop immediately once tests pass
🔄 Handling Maintainer Feedback
When a maintainer requests changes:
- Generate a new patch
- Apply it to the same branch
- Commit & push
The existing PR updates automatically. No new PRs are created.
🧩 Design Principles
- ✅ Minimal diffs
- ✅ Short, inline comments only when necessary
- ✅ No hard refresh or destructive git actions
- ✅ No silent failures
- ✅ Extensible for future improvements
🚧 Limitations
- Repository indexing may be limited on very large repos
- Conflict resolution is assisted, not fully automatic
- Designed for local / controlled environments (remote hardening can be added later)
🔮 Future Improvements
- Scoped repository indexing
- PR comment parsing
- CI status polling
- Refresh-token support
- Remote multi-user MCP deployment
📜 License
MIT License (or as per your choice)
🙌 Acknowledgements
Built using:
- FastMCP
- GitPython
- PyGitHub
- Ollama (for embeddings)
- Qdrant / FAISS (vector search)
👨💻 Author
Divyanshu Giri
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