
Radicle + GitHub MCP Server
A Model Context Protocol server that provides tools for interacting with both Radicle (peer-to-peer code collaboration) and GitHub through a unified interface, enabling repository management, synchronization, and collaboration features across both platforms.
README
Radicle + GitHub MCP Server
A Model Context Protocol (MCP) server setup that provides tools for interacting with both Radicle (peer-to-peer code collaboration) and GitHub through a unified interface.
Features
This setup includes two MCP servers:
🌟 Radicle MCP Server (Python)
- Repository Management: Initialize, clone, and inspect Radicle repositories
- Synchronization: Sync repositories with the Radicle network
- Patches & Issues: List and manage patches and issues
- Node Information: Get node ID and remote information
- Help System: Access Radicle command documentation
- 🔄 GitHub Integration: Bidirectional sync of issues and PRs between GitHub and Radicle
🐙 GitHub MCP Server (Official)
- Repository Operations: Create, fork, clone GitHub repositories
- Issue Management: Create, update, and manage GitHub issues
- Pull Requests: Manage pull requests and reviews
- File Operations: Read, write, and manage repository files
- Search: Search repositories, issues, and code
- User Management: Manage user and organization information
🔗 GitHub ↔ Radicle Synchronization
- Bidirectional Issue Sync: Automatically sync issues between platforms
- Idempotent Operations: Safe to run multiple times without duplicates
- Metadata Preservation: Maintains original author, links, and timestamps
- Mapping Database: Tracks relationships between GitHub and Radicle items
- MCP Integration: Available as AI assistant tools
Available Tools
Repository Operations
rad_init
: Initialize a new Radicle repositoryrad_clone
: Clone an existing repository by RIDrad_status
: Get repository status and informationrad_sync
: Sync repository with the networkrad_push
: Push changes to the network
Collaboration Features
rad_patch_list
: List patches (pull requests) in a repositoryrad_issue_list
: List issues in a repositoryrad_remote_list
: List remotes/nodes for a repository
Node & Identity
rad_id
: Get your Radicle node IDrad_help
: Get help for Radicle commands
Prerequisites
-
Radicle CLI: Ensure the
rad
command is installed and available in your PATH# Install Radicle (see https://radicle.xyz for installation instructions) curl -sSf https://install.radicle.xyz | sh
-
Deno: For running the GitHub MCP server
# Install Deno curl -fsSL https://deno.land/install.sh | sh
-
Python Environment: Python 3.8+ with the MCP library
pip install mcp
-
GitHub Personal Access Token: For GitHub integration
- Go to https://github.com/settings/tokens
- Create a new token with repo, issues, and pull request permissions
- Set as environment variable:
GITHUB_PERSONAL_ACCESS_TOKEN
Installation
- Clone this repository
- Install dependencies:
pip install -e .
- Install the official GitHub MCP server:
deno install -g --name github-mcp npm:@modelcontextprotocol/server-github
- Run the setup script:
python setup_mcp.py
Usage
Quick Setup
# Set your GitHub token
export GITHUB_PERSONAL_ACCESS_TOKEN=your_token_here
# Run the setup script
python setup_mcp.py
GitHub ↔ Radicle Sync
# Test sync connectivity
python demo_sync.py
# Create a test issue (optional)
python create_test_issue.py
# Run full sync
python github_radicle_sync.py
# Or use CLI interface
python sync_cli.py --repo owner/repo --dry-run
python sync_cli.py --repo owner/repo --issues-only
MCP Integration
The sync functionality is available as MCP tools:
github_sync_test
: Test connectivitygithub_sync_issues
: Sync issues onlygithub_sync_full
: Full bidirectional sync
See SYNC_README.md for detailed sync documentation.
As Standalone Servers
# Radicle MCP Server
python -m radicle_mcp.server
# GitHub MCP Server
github-mcp
With Claude Desktop
The setup script automatically creates the configuration. Your claude_desktop_config.json
will include:
{
"mcpServers": {
"radicle-mcp": {
"command": "/path/to/python",
"args": ["-m", "radicle_mcp.server"]
},
"github-mcp": {
"command": "/path/to/github-mcp",
"args": [],
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "${GITHUB_PERSONAL_ACCESS_TOKEN}"
}
}
}
}
VS Code Integration
This project includes VS Code configuration for debugging the MCP server. Use the provided mcp.json
file to connect compatible MCP clients.
Example Commands
Once connected to an MCP client, you can use natural language to interact with both platforms:
Radicle Operations
- "Initialize a new Radicle repository called 'my-project'"
- "Clone the repository with RID rad:z2..."
- "Show me the current patches in this repository"
- "Sync this repository with the network"
- "What's my Radicle node ID?"
GitHub Operations
- "Create a new GitHub repository called 'awesome-project'"
- "List my recent GitHub repositories"
- "Create an issue titled 'Bug fix needed'"
- "Show me open pull requests in my repository"
- "Search for repositories related to 'machine learning'"
Cross-Platform Workflows
- "Publish this Radicle repository to GitHub"
- "Sync issues between Radicle and GitHub"
- "Compare this repository on both platforms"
Development
Running Tests
python -m pytest tests/
Code Style
black src/
flake8 src/
Project Structure
radicle-mcp/
├── src/radicle_mcp/
│ ├── __init__.py
│ └── server.py # Main MCP server implementation
├── .vscode/
│ └── mcp.json # VS Code MCP configuration
├── .github/
│ └── copilot-instructions.md
├── pyproject.toml # Project configuration
└── README.md
Contributing
- Fork the repository
- Create a feature branch
- Make your changes
- Add tests if applicable
- Submit a pull request
License
MIT License - see LICENSE file for details
Related Links
推荐服务器

Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。