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MCP Bitbucket Python 🦊

@Kallows

About MCP Bitbucket Python 🦊

Bitbucket MCP Server Implementation in Python

Basic information

Category

Version Control

Transports

stdio

Publisher

Kallows

Config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP Bitbucket Python 🦊?

MCP Bitbucket Python 🦊 is a Python implementation of an MCP (Model Context Protocol) server that provides Bitbucket integration. The server runs locally on the same machine as your AI application, enabling secure, local tool access for AI applications.

How to use MCP Bitbucket Python 🦊?

Install by cloning the repository. Set the environment variables BITBUCKET_USERNAME and BITBUCKET_APP_PASSWORD with your Bitbucket credentials. The server exposes ten tools for interacting with Bitbucket, such as creating repositories, branches, issues, pull requests, and managing files.

Key features of MCP Bitbucket Python 🦊

  • Integrates Bitbucket management with MCP and AI applications.
  • Provides 10 tools for repository, branch, file, and issue operations.
  • Requires only environment variables for Bitbucket credentials.
  • Runs locally, ensuring secure tool access.
  • Supports default workspace and branch values for ease of use.

Use cases of MCP Bitbucket Python 🦊

  • Automate creation and deletion of Bitbucket repositories.
  • Manage branches and pull requests directly from an AI assistant.
  • Read, write, and delete files in Bitbucket repositories.
  • Create and delete issues with customizable kind and priority.
  • Search repositories using Bitbucket query syntax.

FAQ from MCP Bitbucket Python 🦊

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