Atlassian Bitbucket MCP Server

Atlassian Bitbucket MCP Server

The Atlassian Bitbucket MCP Server is a bridge that lets AI assistants—such as Claude or other Model Context Protocol (MCP) clients—talk directly to a Bitbucket Server or Data Center instance. By exposing the full set of repositories, projects, branches, files, and pull‑request operations through a type‑safe API built from the official Bitbucket OpenAPI specifications, it turns a traditional code host into an interactive knowledge source that AI tools can query, read from, and modify on demand.

This server solves a common pain point for developers who want to embed code‑review, documentation generation, or automated issue triage into their AI workflows without writing custom integration layers. Instead of having the assistant crawl a Git repository or call external REST endpoints manually, the MCP server provides a unified, consistent interface. The assistant can ask for the contents of a specific file, list open pull requests in a project, or even trigger a merge—all through declarative prompts that the MCP server translates into authenticated Bitbucket API calls.

Key capabilities include:

• Comprehensive repository access: Projects, repos, branches, tags, and file trees are all available as first‑class resources.
• Pull‑request tooling: Create, update, comment on, and merge pull requests directly from the AI conversation.
• Type‑safe interactions: The server automatically validates request and response shapes against Bitbucket’s OpenAPI spec, reducing runtime errors.
• Transport flexibility: Operate as a lightweight STDIO server for direct AI integration or expose an HTTP/SSE endpoint for web‑based clients.

Typical use cases span the entire development lifecycle. A team might configure an AI assistant to review a new feature branch, pull in the latest documentation from the repository, and suggest missing tests—all without leaving the chat interface. In continuous‑integration pipelines, an AI bot can automatically generate release notes by summarizing merged pull requests. Security teams can have the assistant audit repository permissions or scan for secrets embedded in code files.

Because it adheres strictly to Bitbucket’s official API and provides a ready‑to‑use MCP interface, the server offers a plug‑and‑play experience for developers already invested in Atlassian tooling. Its Docker support and simple environment configuration make it easy to deploy behind corporate firewalls, while the SSE option allows real‑time updates for interactive AI applications. Overall, the Atlassian Bitbucket MCP Server turns a static code host into a dynamic, AI‑ready data source that accelerates collaboration and automates routine tasks.