aashari_mcp

This Skill addresses the issue where AI assistants cannot securely and directly interact with Bitbucket code repositories. In real-world development, developers frequently need to switch contexts, manually handling branches, merge requests, permission management, etc., between AI conversations and code platforms. This is not only inefficient but also poses security risks. Through the MCP protocol, this tool enables AI assistants to directly interact with Bitbucket and perform controlled code management operations.

Usage is straightforward: simply install this MCP server and configure your Bitbucket access credentials (such as an App Password or OAuth token). You can then use natural language commands to create branches, merge code, assign permissions, review code changes, and more—all operations are secured with authentication and permission controls. For example, you can say, "Create a development branch for feature-login and assign read-write permissions to the team," and the AI will handle it automatically.

It is ideal for teams or individuals who frequently work with Bitbucket repositories, especially developers already using MCP-compatible AI assistants like Claude or Cursor for coding, as well as roles such as project managers and DevOps engineers who need to manage code branches and permissions. It significantly reduces context switching and improves development collaboration efficiency.

We recommend adopting this tool uniformly within teams and configuring API tokens with the principle of least privilege to ensure security. Note that it primarily relies on the MCP protocol, requiring AI assistant support for MCP integration. Also, some older versions of Bitbucket Server may not be fully compatible; using Bitbucket Cloud or a newer version is recommended.