# gitea-mcp

> Use this tool when you need to integrate AI assistants with Gitea, Forgejo, or Codeberg instances to manage issues, repositories, and releases. It enables AI agents to read, create, and manage items via personal access tokens, solving problems related to automated issue tracking and repository management. The tool accepts personal access tokens as input and provides output in the form of managed issues, repositories, and releases.

Canonical page: https://skillsregistry.net/skills/werebear73-gitea-mcp  
JSON: https://api.skillsregistry.net/v1/skills/werebear73-gitea-mcp

## Description

An MCP server that enables AI assistants to read, create, and manage issues, repositories, and releases on Gitea, Forgejo, or Codeberg instances via personal access tokens.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x9ejil3oi5)
- **Repository:** <https://github.com/werebear73/gitea-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "werebear73-gitea-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/werebear73-gitea-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/werebear73-gitea-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt