Model Context Protocol server for Gitea (and Forgejo, Codeberg).
Gitea-mcp is an MCP integration. Model Context Protocol server for Gitea (and Forgejo, Codeberg).
The published pypi package is gitea-mcp, version 0.5.1. Its declared MCP transport is stdio.
The package declares GITEA_URL (required): Base URL of your Gitea/Forgejo/Codeberg instance; GITEA_TOKEN (required): Personal access token for the configured instance; GITEA_TIMEOUT: HTTP request timeout in seconds; GITEA_MAX_RETRIES: Retry count for transient failures; GITEA_RETRY_BASE_DELAY: Retry backoff base delay in seconds.
Check the maintainer’s instructions for account access, authentication and the supported client configuration. Once connected, inspect the tools your client receives and try a small task that matches the server’s stated purpose. The registry description does not include a verified, complete tool list.
View the publisher’s registry entry · Project repository · Project website. This profile uses version 0.5.1 from the registry. Registration identifies the publisher namespace; it does not establish that this is a first-party integration for every service it connects.
Browse related other integrations MCP servers for tools that cover the same kind of work.
| Variable | Description | Required |
|---|---|---|
| GITEA_URL | Base URL of your Gitea/Forgejo/Codeberg instance | Yes |
| GITEA_TOKEN | Personal access token for the configured instance | Yes |
| GITEA_TIMEOUT | HTTP request timeout in seconds | Optional |
| GITEA_MAX_RETRIES | Retry count for transient failures | Optional |
| GITEA_RETRY_BASE_DELAY | Retry backoff base delay in seconds | Optional |
Connect GitHub MCP to repositories, issues and pull requests with GitHub’s hosted service or a locally run server.
Local repository surgery — status, diffs, commits, branches and history for any repo on disk.
Enables AI assistants to securely interact with a local file system for reading, writing, and managing files within a designated project directory.
Enables interaction with GitLab accounts to manage repositories, merge requests, CI/CD, and project settings.
Integrates Google's OR-Tools constraint programming solver with Large Language Models using the Model Context Protocol for AI models.
Enables LLMs to utilize GitHub issues as tasks by fetching issue details.