Bitbucket Pipelines MCP Server

@ygorpinto

Basic information

About Bitbucket Pipelines MCP Server

Bitbucket Pipelines MCP is a Model Context Protocol (MCP) server that provides tools for interacting with Bitbucket Pipelines. This server implements the MCP standard, enabling language models like Claude to manage Bitbucket Pipelines through a standardized interface.

#bitbucket #mcp #pipelines #model-context-protocol

Bitbucket Pipelines MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp_bitbucket_pipelines": {
      "command": "node",
      "args": [
        "docker-mcp-test.js"
      ]
    }
  }
}

Bitbucket Pipelines MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

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

Overview

What is Bitbucket Pipelines MCP Server?

A Model Context Protocol server that provides tools to interact with Bitbucket Pipelines. It implements the MCP standard and can be used by language models like Claude to manage Bitbucket pipelines.

How to use Bitbucket Pipelines MCP Server?

Configure environment variables (BITBUCKET_ACCESS_TOKEN, BITBUCKET_WORKSPACE, BITBUCKET_REPO_SLUG) and run the server via Docker (recommended) or local installation. Invoke the defined tools (e.g., mcp_bitbucket_list_pipelines) through any MCP client.

Key features of Bitbucket Pipelines MCP Server

List pipelines with pagination support
Trigger new pipelines on branches or tags
Get status of a specific pipeline
Stop a running pipeline
Integration with Cursor IDE via mcp.json
Implements standard MCP tool format

Use cases of Bitbucket Pipelines MCP Server

List recent pipelines to monitor CI/CD activity
Trigger a deployment pipeline on a specific branch
Check the status of a pipeline after a commit
Stop a stuck or failed pipeline via an LLM interface
Integrate Bitbucket pipeline management into a Cursor-based AI assistant

Frequently asked questions

What dependencies are required?

The server requires Node.js, npm, and optionally Docker. It also needs a Bitbucket access token, workspace name, and repository slug.

How does the server communicate?

It uses the StdioServerTransport from the MCP SDK, communicating via stdin/stdout.

Can I use it with Cursor?

Yes, the README provides two methods: editing the main `mcp.json` file or creating a separate `mcp.config.json` file in the Cursor configuration directory.

Are there any known limits?

The README does not mention any specific limits. Pagination is supported with configurable page and item count.

What authentication is required?

A Bitbucket access token (`BITBUCKET_ACCESS_TOKEN`) is required, set as an environment variable.

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