# Bitbucket Data Center

> Use this tool when you need to manage and explore code repositories, solve version control and collaboration problems, and integrate with development workflows. It takes personal access tokens as input and provides outputs in markdown and JSON formats, supporting use cases such as code search, pull request management, and repository browsing. Ideal for development teams and repositories, it streamlines code management and collaboration.

Canonical page: https://skillsregistry.net/skills/christopherekfeldt-bitbucket-dc  
JSON: https://api.skillsregistry.net/v1/skills/christopherekfeldt-bitbucket-dc

## Description

Provides access to Bitbucket Data Center instances for code search, file browsing, pull request management, and repository exploration. Built with FastMCP and Python, it connects via personal access tokens and supports both markdown and JSON response formats. Includes tools for branch listing, commit viewing, and diff retrieval.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/christopherekfeldt-bitbucket-dc)
- **Repository:** <https://github.com/christopherekfeldt/mcp-bitbucket-dc>

## 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": "christopherekfeldt-bitbucket-dc"
    }
  }
}
```

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