MCP JIRA Server

MCP JIRA Server

Enables AI applications to manage JIRA issues, workflows, and tasks through a standardized MCP interface, facilitating real-time updates and seamless interaction with JIRA's API.

Warzuponus

Developer Tools
Communication
Python
Visit Server

README

MCP Jira Integration

This project integrates Claude AI with Jira to automate and enhance project management tasks.

Features

Core Functionality

  • Jira issue creation and management through MCP protocol
  • API key-based authentication
  • Standardized request/response format for AI interactions

Jira Integration Features

  • Issue creation and updates
  • Basic sprint tracking
  • Project and board management
  • Issue search and retrieval

Requirements

  • Python 3.8 or higher
  • Jira account with API token
  • Valid MCP implementation

Setup

  1. Clone the repository
  2. Configure environment variables in .env:
    JIRA_URL=https://your-domain.atlassian.net
    JIRA_USERNAME=your.email@domain.com
    JIRA_API_TOKEN=your_api_token
    PROJECT_KEY=PROJ
    API_KEY=your_secure_api_key  # For MCP authentication
    

API Usage

Create Issue

from mcp_jira.protocol import MCPRequest, MCPContext

# Create request context
context = MCPContext(
    conversation_id=\"conv-123\",
    user_id=\"user-123\",
    api_key=\"your_api_key\"
)

# Create issue request
request = MCPRequest(
    function=\"create_issue\",
    parameters={
        \"summary\": \"Implement feature X\",
        \"description\": \"Detailed description\",
        \"issue_type\": \"Story\",
        \"priority\": \"High\"
    },
    context=context
)

response = await mcp_handler.process_request(request)

Search Issues

request = MCPRequest(
    function=\"search_issues\",
    parameters={
        \"jql\": \"project = PROJ AND status = 'In Progress'\"
    },
    context=context
)

response = await mcp_handler.process_request(request)

Authentication

All requests require an API key in the request header:

headers = {
    \"X-API-Key\": \"your_api_key\"
}

Integration with AI Assistants

This MCP implementation is designed to work with AI assistants that support the MCP protocol:

  1. Configure the environment variables
  2. Set up the MCP endpoint in your AI assistant's configuration
  3. Use the standardized MCP protocol for Jira interactions

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Submit a pull request

License

MIT License - see LICENSE file, message: Update README to reflect current functionality` }

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
MCP Package Docs Server

MCP Package Docs Server

Facilitates LLMs to efficiently access and fetch structured documentation for packages in Go, Python, and NPM, enhancing software development with multi-language support and performance optimization.

Featured
Local
TypeScript
Claude Code MCP

Claude Code MCP

An implementation of Claude Code as a Model Context Protocol server that enables using Claude's software engineering capabilities (code generation, editing, reviewing, and file operations) through the standardized MCP interface.

Featured
Local
JavaScript
@kazuph/mcp-taskmanager

@kazuph/mcp-taskmanager

Model Context Protocol server for Task Management. This allows Claude Desktop (or any MCP client) to manage and execute tasks in a queue-based system.

Featured
Local
JavaScript
Apple MCP Server

Apple MCP Server

Enables interaction with Apple apps like Messages, Notes, and Contacts through the MCP protocol to send messages, search, and open app content using natural language.

Featured
Local
TypeScript
DuckDuckGo MCP Server

DuckDuckGo MCP Server

A Model Context Protocol (MCP) server that provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing.

Featured
Python
Linear MCP Server

Linear MCP Server

Enables interaction with Linear's API for managing issues, teams, and projects programmatically through the Model Context Protocol.

Featured
JavaScript
YouTube Transcript MCP Server

YouTube Transcript MCP Server

This server retrieves transcripts for given YouTube video URLs, enabling integration with Goose CLI or Goose Desktop for transcript extraction and processing.

Featured
Python