# Atlassian Bitbucket MCP

> Use this tool when you need to manage and interact with your Bitbucket repository using natural language, enabling tasks such as creating and reviewing pull requests, adding comments, and assigning tasks. It solves problems like streamlining development workflows and enhancing collaboration through intuitive interface. This tool accepts natural language inputs and outputs repository updates and notifications.

Canonical page: https://skillsregistry.net/skills/gemyago-atlacp  
JSON: https://api.skillsregistry.net/v1/skills/gemyago-atlacp

## Description

Enables interaction with Bitbucket through the Model Context Protocol, allowing users to manage pull requests, add comments, review code, create tasks, and perform other repository operations using natural language.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y4e1envwy9)
- **Repository:** <https://github.com/gemyago/atlacp>

## 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": "gemyago-atlacp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gemyago-atlacp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gemyago-atlacp/pull`

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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