# Bitbucket MCP Server

> Use this tool when you need to manage and interact with Bitbucket repositories using natural language, enabling capabilities such as searching code, accessing file contents, and comparing branches. It solves problems related to repository management, code review, and version control, providing a seamless interface for LLMs to operate on Bitbucket repositories. The tool accepts natural language inputs and returns relevant repository data, making it ideal for use cases that require automated or AI-driven repository management.

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

## Description

Enables LLMs to interact with Bitbucket repositories to manage pull requests, branches, and commits through the Model Context Protocol. It supports repository operations such as searching code, accessing file contents, and comparing branches using natural language.

## Trust

- **Trust score (0–1):** 0.99
- **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/x3ygwmp1f2)
- **Repository:** <https://github.com/jlromano/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": "jlromano-bitbucket-mcp"
    }
  }
}
```

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