# mcp-bitbucket

> Use this tool when you need to integrate AI systems with self-hosted Bitbucket repositories, enabling secure and real-time interactions with code, pull requests, and projects through stdio and HTTP streaming transports. It solves problems of accessing and manipulating git repositories programmatically, allowing for automated coding assistance and other AI-driven development tasks. Ideal for use cases requiring seamless communication between AI agents and Bitbucket Server/Data Center instances.

Canonical page: https://skillsregistry.net/skills/n11techhub-mcp-bitbucket  
JSON: https://api.skillsregistry.net/v1/skills/n11techhub-mcp-bitbucket

## Description

A Node.js/TypeScript Model Context Protocol (MCP) server for Atlassian Bitbucket Server/Data Center.

This server enables AI systems (e.g., LLMs, AI coding assistants) to securely interact with your self-hosted Bitbucket repositories, pull requests, projects, and code in real time through both standard stdio and HTTP streaming transports.

## Trust

- **Trust score (0–1):** 0.99
- **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:** 2026-09-19

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/n11techhub/mcp-bitbucket)
- **Repository:** <https://github.com/n11techhub/mcp-bitbucket>

## 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": "n11techhub-mcp-bitbucket"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/n11techhub-mcp-bitbucket` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/n11techhub-mcp-bitbucket/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