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raohwork/forgejo-mcp

raohwork/forgejo-mcp

🏎️ ☁️ - Manage your repositories on a Forgejo or Gitea server
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add forgejo-mcp -- npx -y forgejo-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
70 ★ · raohwork/forgejo-mcp · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 70 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 raohwork/forgejo-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

Gitea/Forgejo MCP Server

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

> Turn AI into your code repository management assistant
A Model Context Protocol (MCP) server that enables you to manage Gitea/Forgejo repositories through AI assistants like Claude, Gemini, and Copilot.
🚀 Why Use Forgejo MCP Server?
If you want to:
- **Smart progress tracking**: Let AI help you track project progress and analyze bottlenecks
- **Automated issue categorization**: Automatically tag issue labels and set milestones based on content
- **Priority sorting**: Let AI analyze issue content to help prioritize tasks
- **Code review assistance**: Get AI suggestions and insights in Pull Requests
- **Project documentation organization**: Automatically organize Wiki documents and release notes
Then this tool is made for you!
✨ Supported Features
Issue Management
- Create, edit, and view issues
- Add, remove, and replace labels
- Manage issue comments and attachments
- Set issue dependencies
Project Organization
- Manage labels (create, edit, delete)
- Manage milestones (create, edit, delete)
- Repository search and listing
Release Management
- Manage version releases
- Manage release attachments
Other Features
- View Pull Requests
- Manage Wiki pages
- View Forgejo/Gitea Actions tasks
📦 Installation
Method 1: Use docker (Recommended)
For STDIO mode, you can skip to **Usage** section.
For SSE/Streamable HTTP mode, you should run forgejo-mcp as server before configuring your MCP client.
Method 2: Install from source
Method 3: Download Pre-compiled Binaries
Download the appropriate version for your operating system from the Releases page.
🖥️ Usage
This tool provides two primary modes of operation: stdio for local integration and http for remote access.
Before actually setup you MCP client, you have to create an access token on the Forgejo/Gitea server.
1. Log in to your Forgejo/Gitea instance
2. Go to **Settings** → **Applications** → **Access Tokens**
3. Click **Generate New Token**
4. Select appropriate permission scopes (recommend at least repository and issue write permissions)
5. Copy the generated token
💡 **Tip**: For security, consider setting environment variables instead of using tokens directly in config:
Stdio Mode (for Local Clients)
This is the recommended mode for integrating with local AI assistant clients like Claude Desktop or Gemini CLI. It uses standard input/output for direct communication.
Configure Your AI Client
Using docker:
Installed from source or pre-built binary:
You might want to take a look at **Security Recommendations** section for best practice.
HTTP Server Mode (for Remote Access)
This mode starts a web server, allowing remote clients to connect via HTTP. It's ideal for web-based services or setting up a central gateway for multiple users.
Run the following command to start the server:
The server supports two operational modes:
- **Single-user mode**: If you provide a --token (or environment variable FORGEJOMCP_TOKEN) at startup, all operations will use that token.
来源
awesome · https://github.com/raohwork/forgejo-mcp
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