# bitbucket-cloud-mcp-server

> bitbucket-cloud-mcp-server — ttekun-bitbucket-cloud-mcp-server. Use this tool when you need to streamline code review processes by integrating AI assistants with Bitbucket Cloud pull requests. It solves the problem of manual code review by enabling AI-powered analysis and feedback on git repositories. The tool takes in pull requests as input and outputs reviewed code with suggestions, making it ideal for teams looking to automate and enhance their development workflows.

Canonical page: https://skillsregistry.net/skills/ttekun-bitbucket-cloud-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/ttekun-bitbucket-cloud-mcp-server

## Description

MCP server that lets AI assistants read and review your Bitbucket Cloud pull requests

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** version-control
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/ttekun/bitbucket-cloud-mcp-server)

## 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": "ttekun-bitbucket-cloud-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ttekun-bitbucket-cloud-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ttekun-bitbucket-cloud-mcp-server/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