%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
Atlassian Bitbucket Server MCP
An MCP server that integrates Atlassian Bitbucket with AI systems, providing API functions such as code repository access and PR operations
rating : 2 points
downloads : 12
What is Bitbucket MCP Server?
This is a middleware service specifically designed for AI systems, allowing AI to securely access and operate code repositories in Bitbucket Server/Data Center. It acts like an interpreter between AI and the code repository, converting AI requests into instructions that Bitbucket can understand.How to use this service?
You only need to configure the Bitbucket server address and access token, and then start the service through a simple command line or Docker container. The AI system can interact with the service through standard input/output or HTTP interfaces.Use cases
Suitable for scenarios that require AI-assisted code review, automatic generation of commit messages, intelligent merge conflict resolution, etc. It is also suitable for building Q&A systems or document generation tools based on code repositories.Main features
Code repository accessProvides full access capabilities at the project, repository, branch, and file levels, supporting content retrieval and metadata query
Pull Request toolsSupports creating, viewing, commenting on, and merging Pull Requests, enabling automated code review
Type-safe APIA type-safe interface generated based on the official Bitbucket OpenAPI specification, reducing integration errors
Multi-transport protocol supportSupports both STDIO and HTTP/SSE communication methods simultaneously to meet the integration needs of different AI systems
Advantages and limitations
Advantages
Standardized interface: Provides a unified access mode, simplifying the integration of AI systems with code repositories
Security isolation: As an intermediate service, it prevents AI systems from directly accessing code repository credentials
Flexible deployment: Supports local operation and Docker containerization deployment
Performance optimization: Optimized API response structure for AI scenarios
Limitations
Only supports Atlassian Bitbucket Server/Data Center, not the cloud version
Requires pre-configured valid access tokens
Performance tuning may be required for large-scale repository operations
How to use
Prepare the environment
Ensure that Node.js (v20+), npm, and Python3 environments are installed
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%230080ff;%20}%20%3c/style%3e%3c/defs%3e%3cpath%20class='st0'%20d='M16.2,11.1c.4.5.4,1.2,0,1.8l-4.7,7.1h-3.8l5.3-8L7.6,4h3.8l4.7,7.1Z'/%3e%3c/svg%3e)
Get the Bitbucket access token
Create an access token with appropriate permissions in the Bitbucket server settings
Install the service
Clone the repository and install dependencies
Configure environment variables
Set the Bitbucket server address and access token
Start the service
Select a suitable transport protocol to start the service
Usage examples
Automated code reviewThe AI system automatically analyzes newly committed code, checks coding standards, and provides improvement suggestions
Intelligent merge conflict resolutionWhen a merge conflict occurs in a Pull Request, the AI suggests possible solutions
Code repository Q&A systemAnswer developers' questions based on the content of the code repository
Frequently Asked Questions
Does this service support Bitbucket Cloud?
What permissions are required for the access token?
How to monitor the service running status?
Does it support enterprise-level deployment?
Related resources
GitHub repository
Project source code and the latest version
Bitbucket REST API documentation
Official API reference documentation
MCP protocol specification
Official specification of the Model Context Protocol
Featured MCP Services
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
823
4.3 points
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
79
4.3 points
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
130
4.5 points
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
554
5 points
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.6K
4.5 points
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
745
4.8 points