Bitbucket MCP Server

Bitbucket MCP Server (Python)

<!-- mcp-name: io.github.lawp09/bitbucket-mcp -->

Connect Claude Code, OpenAI Codex, Cursor, VS Code (GitHub Copilot), and any MCP-compatible AI assistant to your Bitbucket Cloud repositories. Review pull requests, monitor pipelines, and manage your code — all through natural language.

Features

• 60+ MCP tools — repositories, pull requests, comments, tasks, diffs, pipelines (runtime + config), build statuses, reviewers, draft PRs, batch review, issue tracker, commits, source/file browsing
• MCP 2025 tool annotations — every tool advertises readOnlyHint / destructiveHint / idempotentHint / openWorldHint + a human-readable title, so clients (Claude Code, Cursor) auto-include read-only tools and warn before destructive operations
• Slim responses — stripped API noise for lower LLM token usage
• Configurable — enable/disable tools via configs/tools.json or BITBUCKETTOOLSCONFIG env var
• Secure credentials — environment variables or system keychain

Quick Start

1. Install

The recommended way to run the server is via uvx (zero install, isolated environment):

# Always latest version
uvx --from bitbucket-mcp-py bitbucket-mcp

# Pin a specific version
uvx --from bitbucket-mcp-py==1.8.1 bitbucket-mcp

Why --from? The PyPI package is bitbucket-mcp-py but the command entry point is bitbucket-mcp. The --from flag tells uvx which package to install.

Alternative install methods

2. Configure credentials

Set the following environment variables (or use a .env file — see Credentials):

Get your API token at: https://id.atlassian.com/manage-profile/security/api-tokens

⚠️ Use a scoped token, not a global one. When creating the token, select specific scopes (e.g. Repositories: Read, Pull requests: Read/Write). Global tokens without explicit scopes do not work with this MCP server.

3. Configure your AI assistant

Claude Code (recommended)

Option A — CLI (fastest):

claude mcp add bitbucket-mcp \
  -e BITBUCKET_USERNAME=your-email@example.com \
  -e BITBUCKET_TOKEN=your-api-token \
  -e BITBUCKET_WORKSPACE=your-workspace \
  -- uvx --from bitbucket-mcp-py bitbucket-mcp

Option B — JSON config (~/.claude.json or project .mcp.json):

{
  "mcpServers": {
    "bitbucket-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": ["--from", "bitbucket-mcp-py", "bitbucket-mcp"],
      "env": {
        "BITBUCKET_USERNAME": "your-email@example.com",
        "BITBUCKET_TOKEN": "your-api-token",
        "BITBUCKET_WORKSPACE": "your-workspace"
      }
    }
  }
}

OpenAI Codex

Option A — CLI (fastest):

Shortened. The full README is on GitHub.