phuc-nt/jira-cloud-mcp-server
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Jira Cloud MCP Server connects AI agents to Atlassian Jira Cloud using the Model Context Protocol, focusing on Jira operations.
MCP Jira Server
AI meets Jira - Connect AI assistants to your Jira workspace with modular architecture and enhanced compatibility
š What is this?
MCP Jira Server enables AI assistants like Claude, Cline, Cursor, and other MCP-compatible tools to interact with Atlassian Jira using API token authentication - featuring modular architecture, enhanced AI client compatibility, and enterprise-ready performance. Choose only the modules you need for optimized memory usage.
āØ Features
š§ 46 Optimized Tools Across 4 Modules:
- Core Module (14): Essential CRUD operations, user management, project operations
- Agile Module (10): Sprint & board management, workflow operations
- Dashboard Module (8): Analytics, reporting, dashboard management
- Search Module (14): Enhanced search & Epic discovery, universal user search
šÆ Key Capabilities:
- ā Modular Architecture - Up to 64% memory reduction with selective loading
- ā Enhanced AI Client Compatibility - Comprehensive usage patterns & error prevention
- ā Production Ready - 100% test success rate across all 46 tools
š Quick Start
š¦ Install from NPM (Recommended)
npm install -g mcp-jira-cloud-server
š - Follow the step-by-step setup guide
Architecture
Module Distribution (46 Total Tools - Optimized)
| Module | Tools | Success Rate | Use Case |
|---|---|---|---|
| Core | 14 | 100% | Essential CRUD operations |
| Agile | 10 | 100% | Sprint & workflow management |
| Dashboard | 8 | 100% | Analytics & reporting |
| Search | 14 | 100% | Enhanced search & Epic discovery |
Configuration Options
4 Deployment Options:
- Essential Stack (28 tools): Core + Search modules
- Complete Agile (38 tools): Core + Agile + Search modules
- Analytics Focus (22 tools): Search + Dashboard modules
- Legacy Compatibility (46 tools): All modules in single server
š - Detailed setup instructions with working configs
š” Usage Examples
Create Issues with Natural Language:
Human: Create a new Epic called "User Authentication System" in the DEMO project
AI Assistant: I'll create that Epic for you using the createIssue tool:
ā” Project: DEMO
ā” Issue Type: Epic (auto-detected)
ā” Summary: "User Authentication System"
ā” Creating issue now...
ā
Created Epic DEMO-142: "User Authentication System"
Advanced Search & Analysis:
Human: Find all high-priority bugs assigned to me that were created last week
AI Assistant: I'll search for your high-priority bugs from last week:
ā” Use enhancedSearchIssues with JQL: "assignee = currentUser() AND priority = High AND issueType = Bug AND created >= -7d"
ā” Found 3 matching issues
ā” Analyzing priority, status, and resolution timeframes...
Found 3 high-priority bugs: DEMO-140, DEMO-138, DEMO-135 - details attached.
Sprint Management & Agile Workflows:
Human: Show me the current sprint status and add issue DEMO-123 to the active sprint
AI Assistant: I'll check your sprint status and add the issue:
ā” Use listSprints to find active sprint for your board
ā” Use getSprintIssues to see current sprint contents
ā” Use addIssueToSprint to add DEMO-123
ā” Provide sprint summary with updated issue count
Current Sprint "Sprint 24" has 12 issues, adding DEMO-123 now... ā
Added successfully!
š ļø Tech Stack
- TypeScript - Type-safe development with strict mode
- Node.js - Runtime environment (16.x+)
- MCP Protocol - Model Context Protocol for AI integration
- Jira APIs - Native Jira Platform API v3 + Agile API v1.0
- Modular Architecture - Specialized modules for optimized performance
š License
MIT License - see for details.
š Connect your AI assistant to Jira with modular architecture and enhanced compatibility!