MCP Bitbucket Python

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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