This MCP server integrates Jira API functionalities, allowing AI assistants like Claude to interact with Jira for project and issue management efficiently.
Added on:
Created by:
Apr 08 2025
This MCP server integrates Jira API functionalities, allowing AI assistants like Claude to interact with Jira for project and issue management efficiently.
Added on:
Created by:
Apr 08 2025
Foad Kesheh
Featured
What is Jira MCP Server?
The Jira MCP Server enables AI assistants to interact directly with Jira instances for comprehensive project management. It supports retrieving project info, creating and updating issues and subtasks, managing workflows, linking issues, adding comments, and user management. It also facilitates bulk operations and custom field handling. Built with robust validation, error handling, and markdown support, it enhances productivity by automating common Jira tasks via MCP protocol, making project management seamless for users and developers alike.
Who will use Jira MCP Server?
- Project Managers
- Developers
- QA Teams
- Jira Administrators
- AI Developers
How to use the Jira MCP Server?
- Step 1: Clone the repository and install dependencies
- Step 2: Configure environment variables with your Jira credentials and server details
- Step 3: Run the server using 'npm start' or in development mode with 'npm run dev'
- Step 4: Integrate with your MCP-compatible AI assistant (like Claude) by adding the server configuration
- Step 5: Use available tools to manage Jira issues, projects, comments, workflows, etc., through the AI interface
Jira MCP Server's Core Features & Benefits
The Core Features
- Retrieve project information and issues
- Create, update, and delete issues and subtasks
- Manage issue workflows and transitions
- Link issues and dependencies
- Add comments and manage issue fields
- User management and assignment
- Bulk issue operations
The Benefits
- Full Jira API coverage for comprehensive management
- Enhanced markdown and formatting support
- Robust validation and error handling
- Support for custom Jira fields
- Automate repetitive tasks via AI
- Facilitates team collaboration and project tracking
Jira MCP Server's Main Use Cases & Applications
- Automated issue creation and updates via AI commands
- Bulk issue management for large projects
- Workflow transitions management through voice or chat
- Adding comments and user assignments automatically
- Managing custom fields and dependencies
FAQs of Jira MCP Server
Developer
You may also like:
Developer Tools
A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
Research And Data
A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.
Official Servers
A server setup enabling standardized exchange of model context information in digital services.
A minimal CLI tool to connect, interact, and communicate with MCP servers using command-line interface.
A collection of publicly available MCP servers for testing, development, and learning MCP implementation and interactions.
A client transport alternative for @modelcontextprotocol/sdk, optimized for React Native using sse.js for streaming.
A Node.js and TypeScript-based MCP server with Express.js, logging, environment config, testing, and Git integration.
A client to connect and interact with MCP servers, enabling tool discovery, authentication, and external service integration.
A server to interact with Asgardeo organization through LLM tools, enabling organization management automation.
A Python-based MCP client that generates UUIDs using OpenAI Agent and communicates with uuid-mcp-server.
A server designed to support Astro project development by providing runtime info, docs content, and integration data.
A sample MCP client demonstrating interaction with Weather and GitHub servers with limited tooling.