# bitbucket-mcp

> Use this tool when you need to automate code review processes on Bitbucket, enabling large language models (LLMs) to review pull requests with custom checklists. It solves problems of manual code review and integrates with Bitbucket via API token authentication. This tool is ideal for streamlining development workflows and improving code quality in collaborative software development projects.

Canonical page: https://skillsregistry.net/skills/jishadmt-bitbucket-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jishadmt-bitbucket-mcp

## Description

Enables LLMs to review Bitbucket pull requests with custom checklists and API token authentication.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sxhojs56x4)
- **Repository:** <https://github.com/JishadMT/bitbucket-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": "jishadmt-bitbucket-mcp"
    }
  }
}
```

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