Forgejo MCP
F

Forgejo MCP

An MCP protocol server that integrates AI assistants into Gitea/Forgejo code repository management, enabling functions such as intelligent issue tracking, automatic classification, and priority sorting.
2.5 points
10.5K

What is the Gitea/Forgejo MCP Server?

This is a service based on the Model Context Protocol (MCP) that allows you to manage Gitea/Forgejo code repositories through AI assistants (such as Claude, Gemini, Copilot). It acts as a bridge between AI and code repositories, enabling you to complete various repository management tasks using natural language.

How to use the Gitea/Forgejo MCP Server?

Usage is divided into three simple steps: 1) Install the server or use the Docker image. 2) Configure the AI client connection. 3) Manage the repository through natural language instructions. It supports two connection methods: local STDIO mode and remote HTTP mode.

Use cases

It is particularly suitable for developers, project managers, and team collaboration scenarios when you need to: intelligently track project progress, automatically classify issues, prioritize tasks, get code review suggestions, or organize project documentation.

Main features

Issue management
Create, edit, and view issues, manage labels, comments, and attachments, and set issue dependencies.
Project organization
Manage labels and milestones, search for and list repositories.
Release management
Manage version releases and release attachments.
Code review
View Pull Requests and get AI suggestions and insights.
Wiki management
Manage Wiki pages and automatically organize documents.
Advantages
Natural language interaction, reducing the technical threshold.
Automating repetitive repository management tasks.
Supporting multiple mainstream AI assistants.
Flexible deployment methods (Docker/binary/source code).
Complete permission management and security suggestions.
Limitations
Requires basic knowledge of using Gitea/Forgejo.
There may be deviations in AI understanding.
Advanced features require API permission configuration.

How to use

Get an access token
Generate an API access token in Gitea/Forgejo. It is recommended to grant at least repository and issue write permissions.
Choose an installation method
Three installation methods are available: Docker (recommended), pre - compiled binary, or compilation from source code.
Configure the AI client
Configure your AI assistant to connect to the MCP server according to the usage mode (STDIO or HTTP).

Usage examples

Intelligent issue tracking
Let AI analyze issues in the repository and identify bottlenecks.
Automatic issue classification
Automatically add labels and milestones based on issue content.
Priority sorting
Let AI evaluate issue priorities based on content.

Frequently Asked Questions

What version of Gitea/Forgejo is required?
How to ensure the security of the API token?
Which AI assistants are supported?
Does the HTTP mode support multiple users?

Related resources

MCP Protocol official website
Understand the Model Context Protocol standard.
GitHub repository
Source code and issue tracking.
Gitea documentation
Official Gitea documentation.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "forgejo": {
      "command": "docker",
      "args": [
        "--rm",
        "ronmi/forgejo-mcp",
        "stdio",
        "--server", "https://your-forgejo-instance.com",
        "--token", "your_access_token"
      ]
    }
  }
}

{
  "mcpServers": {
    "forgejo": {
      "command": "/path/to/forgejo-mcp",
      "args": [
        "stdio",
        "--server", "https://your-forgejo-instance.com",
        "--token", "your_access_token"
      ]
    }
  }
}

{
  "mcpServers": {
    "forgejo-remote": {
      "type": "sse",
      "url": "http://localhost:8080/sse",
      "headers": {
        "Authorization": "Bearer your_token"
      }
    }
  }
}

{
  "mcpServers": {
    "forgejo-remote": {
      "type": "http",
      "url": "http://localhost:8080/",
      "headers": {
        "Authorization": "Bearer your_token"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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