MCP Gitlab Jira
An MCP server for GitLab and Jira integration, providing functions for AI agents to interact with GitLab and Jira instances, including project management, merge request processing, file viewing, user activity tracking, and Jira ticket management.
rating : 2 points
downloads : 6.5K
What is the GitLab Jira MCP Server?
This is a middleware service that acts as a bridge between AI systems (such as gemini-cli) and GitLab/Jira development management systems. It standardizes the way AI interacts with these systems, enabling non-technical users to manage development projects through natural language.How to use the GitLab Jira MCP Server?
Simply complete a simple environment configuration, and the AI system can access your GitLab and Jira data through a standard protocol to perform project management tasks without directly operating complex interfaces.Use cases
Suitable for development teams that require AI assistance for code review, project management, and automated workflows, especially in agile development environments where frequent interaction with GitLab and Jira is required.Main features
GitLab integration
Fully supports GitLab project management functions, including merge request management, file viewing, version release, etc.
Jira integration
Complete support for Jira ticket operations, including querying, creating, updating, and status conversion
Standardized protocol
Adopts the MCP (Model Context Protocol) standard and is compatible with various AI agent systems
Multiple deployment methods
Supports local operation, global installation, and Docker containerized deployment
Advantages
Unified management of API access to GitLab and Jira simplifies AI integration
Standardized interfaces reduce the learning cost
Supports multiple deployment methods to adapt to different environments
Detailed error handling and logging
Limitations
Requires pre - configuration of API access permissions
Technical knowledge is required for the initial setup
Some advanced features require specific permissions
How to use
Install the service
Install globally via npm or use a Docker container
Configure environment variables
Set the access credentials for GitLab and Jira
Test the connection
Verify that the service is running properly
Configure the AI client
Add MCP server settings to your AI system configuration file
Usage examples
Automated code review
AI automatically retrieves the latest merge requests and provides code review suggestions
Project status report
Automatically generate a comprehensive project report containing GitLab and Jira data
Frequently Asked Questions
What permissions are required to run it properly?
Does it support self - hosted GitLab/Jira?
How to troubleshoot connection issues?
Related resources
GitLab API Documentation
Official GitLab API reference
Jira REST API Guide
Official Jira API documentation
MCP Protocol Specification
Technical specification of the Model Context Protocol

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
16.6K
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
14.8K
4.5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
44.0K
4.3 points

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
23.6K
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#
19.2K
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
44.5K
4.5 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
30.3K
4.8 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
62.9K
4.7 points
