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Atlassian Bitbucket Server MCP
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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
Version controlDeveloper tools#Bitbucket integration#AI collaboration#Code management#API service Remote.TypeScript
2 points
6.2K
Open Site

Overview

Tools List

Content Details

Alternatives

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 access
Provides full access capabilities at the project, repository, branch, and file levels, supporting content retrieval and metadata query
Pull Request tools
Supports creating, viewing, commenting on, and merging Pull Requests, enabling automated code review
Type-safe API
A type-safe interface generated based on the official Bitbucket OpenAPI specification, reducing integration errors
Multi-transport protocol support
Supports both STDIO and HTTP/SSE communication methods simultaneously to meet the integration needs of different AI systems
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
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 review
The AI system automatically analyzes newly committed code, checks coding standards, and provides improvement suggestions
Intelligent merge conflict resolution
When a merge conflict occurs in a Pull Request, the AI suggests possible solutions
Code repository Q&A system
Answer 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

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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