What is Platform and what problem does it solve?

Platform integrates AI models with Jira and GitLab, allowing AI clients to interact directly with issues, merge requests, and pipelines using the Model Context Protocol (MCP). It solves the challenge of enabling AI to understand and act upon development workflow data.

What specific actions can AI perform on Jira via Platform?

Through Platform, AI clients can fetch, search, create, and update Jira issues, retrieve comments, and list projects, providing comprehensive management capabilities directly within AI-powered workflows.

What is the Model Context Protocol (MCP) and its role in Platform?

The Model Context Protocol (MCP) is the open standard Platform uses for communication between AI clients (like Claude Desktop or Cursor) and your Jira/GitLab instances. It ensures compatibility and seamless interaction with any MCP-enabled AI tool.

How does Platform handle authentication for Jira and GitLab?

Platform ensures secure access by utilizing Personal Access Tokens (PATs) for authentication with both Jira and GitLab instances, granting AI clients access with appropriate permissions.

Platform

Name: Platform
Author: jaroslavkopca

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Integrate AI models with Jira and GitLab, enabling comprehensive interaction with issues, merge requests, and pipelines via the Model Context Protocol.

Platform

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Integrate AI models with Jira and GitLab, enabling comprehensive interaction with issues, merge requests, and pipelines via the Model Context Protocol.

This monorepo provides robust Model Context Protocol (MCP) servers designed to bridge AI clients like Claude and Cursor with your Jira and GitLab instances. It allows AI models to securely interact with project management and code hosting platforms by querying issues, merge requests, and pipelines, as well as enabling actions like creating and updating Jira issues. Leveraging Personal Access Tokens for authentication, it supports both cloud and self-hosted deployments and features an extensible architecture that simplifies adding support for new services.

主な機能

01Extensive GitLab API tools: retrieve and list merge requests and pipelines, with advanced filtering.

02Secure authentication using Personal Access Tokens (PATs) for both platforms.

03Monorepo architecture designed for easy extension with new service adapters.

040 GitHub stars

05Connects AI clients to Jira and GitLab via Model Context Protocol.

06Comprehensive Jira API tools: fetch, search, create, and update issues, and retrieve comments.

ユースケース

01Streamline development workflows by allowing AI to query and manage GitLab merge requests and pipelines.

02Enable AI assistants to interact with and manage project tasks in Jira.

03Automate reporting and information retrieval from development and project management platforms using natural language.