Gitea MCP Server: Give AI Agents Access to Your Repos, Issues, Pull Requests, and CI Pipelines

Why Give AI Access to Gitea?

Gitea is a lightweight, self-hosted Git forge that provides repositories, issues, pull requests, CI/CD pipelines, and package registries. Teams choose it for data sovereignty, simplicity, and low resource usage compared to GitLab or GitHub Enterprise.

But when you're coding in Claude or Cursor, your AI assistant can't see your Gitea instance. It can't check if a CI pipeline passed, read issue comments, or review PR status. You end up switching to the Gitea web UI every time you need project context.

With DataFaucet, you browse your Gitea dashboard once and it captures the API calls as MCP tools. Now your AI coding assistant can query repos, read issues, and check pipeline status directly.

What AI Agents Can Do With Gitea Access

Once DataFaucet creates an MCP server from your Gitea session, AI agents can:

• List repositories with stars, forks, open issues count, and last activity
• Read issues and comments to understand bug reports and feature requests
• Check pull request status including review state, merge conflicts, and CI checks
• View CI/CD pipeline runs (Gitea Actions) with job status and logs
• Browse repository files and read specific file contents
• List branches and tags with protection rules and latest commits
• Check organization members and team permissions

Setting Up Gitea as an MCP Server with DataFaucet

1. Open your Gitea instance and navigate through repos, issues, PRs, and Actions pages
2. DataFaucet captures the API calls your browser makes to Gitea's REST API
3. Click "Create MCP Server" and DataFaucet generates structured tools from those endpoints
4. Add the MCP server URL to your AI client (Claude, Cursor, Windsurf)
5. Your AI can now query Gitea data in real-time

The entire process takes about two minutes. Works with Gitea 1.19+ and Forgejo.

Example Queries Your AI Can Answer

After connecting, try asking your AI:

• "Are there any open PRs with failing CI checks?"
• "What's the most recent issue filed in the backend repo?"
• "Did the deploy pipeline pass for the latest commit on main?"
• "Which repos have stale branches older than 30 days?"
• "Show me the comments on issue #42"
• "Who has push access to the production repo?"

Your AI can answer these instantly because it has real-time access to your Gitea API through MCP tools.

DataFaucet vs Gitea's REST API

Self-Hosted Gitea Works Perfectly

Since DataFaucet captures API calls from your browser, it works with any Gitea instance on your network or public internet. Your AI assistant gets access to the same data you see in the web UI, whether Gitea runs on a Raspberry Pi, Docker, or a dedicated server.

Use Cases

• Code review context: AI reads PR descriptions and issue history while you review diffs
• CI debugging: Ask "why did the pipeline fail?" and AI reads job logs instantly
• Project awareness: AI knows which issues are assigned to you and their current state
• Cross-repo insights: Query multiple repos at once for dependency updates or breaking changes
• Release planning: AI checks open PRs and milestones to assess release readiness

Get Started

DataFaucet turns your Gitea instance into structured MCP tools in under two minutes. No API tokens to create, no webhook configuration, no custom code.

Create your Gitea MCP server and give your AI coding assistant full visibility into your self-hosted Git forge.