# Bitbucket

> Use this tool when you need to streamline pull request workflows in Bitbucket Server environments, automating tasks such as creating, merging, and declining pull requests. It provides a TypeScript-based interface for AI assistants to interact with Bitbucket Server's API, allowing for efficient code reviews and PR management. Ideal for development teams seeking to integrate AI assistance into their PR workflows, enabling automated PR creation, status updates, and code review processes.

Canonical page: https://skillsregistry.net/skills/garc33-bitbucket-server-pull-request-manager  
JSON: https://api.skillsregistry.net/v1/skills/garc33-bitbucket-server-pull-request-manager

## Description

This Bitbucket Server MCP implementation, developed for managing pull requests in Bitbucket Server environments, provides a TypeScript-based interface for AI assistants to interact with Bitbucket Server's API. Built using the Model Context Protocol SDK, it offers tools for creating, retrieving, merging, and declining pull requests, as well as adding comments and fetching diffs. The implementation focuses on streamlining PR workflows, making it easier for AI models to assist in code review processes and PR management. It's particularly useful for development teams using Bitbucket Server who want to integrate AI assistance into their PR workflows, enabling more efficient code reviews, automated PR creation, and status updates without requiring deep knowledge of Bitbucket Server's API intricacies.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/garc33-bitbucket-server-pull-request-manager)
- **Repository:** <https://github.com/garc33/bitbucket-server-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": "garc33-bitbucket-server-pull-request-manager"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/garc33-bitbucket-server-pull-request-manager` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/garc33-bitbucket-server-pull-request-manager/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