ajaia-mcp-server

The most comprehensive AI-powered Jira & Azure DevOps MCP Server

30 tools for work item management, AI analytics, sprint planning, test generation, epic decomposition, and cross-platform migration — all from Claude, Cursor, VS Code, or any MCP client.

Turn your AI assistant into a full-powered Jira and Azure DevOps copilot — directly inside your editor.

Why AJAIA?

| | AJAIA MCP | Microsoft ADO MCP | |---|---|---| | Platforms | Jira + Azure DevOps | Azure DevOps only | | AI Intelligence | Built-in Claude AI for analysis, estimation, AC generation | None — raw CRUD only | | Analytics | 8 analytics dashboards via MCP | None | | Epic Decomposition | AI breaks epics → features → stories → tasks → test cases | None | | Cross-platform Migration | Jira ↔ ADO bidirectional | N/A | | Tools | 30 | ~65 (but no AI, no Jira) |

Features

Core Work Item Management

• 🔍 Search — Natural-language search across Jira and Azure DevOps (JQL/WIQL supported)
• 📝 Create — Create issues, bugs, stories, tasks with AI-generated descriptions
• ✏️ Update — Modify status, assignee, priority, and fields via natural language
• 💬 Comment — Add comments from your AI assistant
• 📊 Reports — Sprint summaries, velocity, burndown, and status reports
• 🤖 AI Chat — Conversational project management assistant

AI-Powered Intelligence (NEW in v2.0)

• 🧠 Epic Breakdown — AI decomposes epics → features → stories → tasks → test cases, auto-creates in platform
• 🧪 Test Case Generation — AI generates functional, edge, integration, and regression tests
• 📋 Acceptance Criteria — AI writes Gherkin/bullet/checklist AC from work item context
• 🎯 Story Point Estimation — AI estimates with reasoning, complexity factors, and confidence
• 🏷️ Label Suggestions — AI recommends tags based on content patterns
• 👤 Assignment Recommendations — AI matches work to team members based on expertise & workload
• 📄 Quick Summary — AI-generated concise work item summaries with next steps

Analytics & Insights (NEW in v2.0)

• 📈 Daily Focus — Role-aware daily priorities and top actions
• ⚠️ Risk Radar — Project risk scoring with contributing factors
• 🔄 Flow Metrics — Cycle time, lead time, throughput, WIP, bottlenecks
• 🔮 Forecast — Completion predictions (optimistic/expected/pessimistic)
• 🎓 Coaching Actions — AI team improvement suggestions
• 📉 Delivery Trends — Sprint velocity and acceleration patterns
• 📊 Work Distribution — Workload balance by status, priority, type
• 🎯 Sprint Predictability — Commitment vs delivery accuracy
• 🔍 Confidence Scan — Evidence-backed readiness assessment for epics/stories

Operations & Migration (NEW in v2.0)

• 📦 Batch Subtasks — Create up to 20 child tasks at once
• 🔗 Link Items — Create relationships (blocks, relates-to, parent-child, duplicate)
• 📋 Clone — Deep clone work items with fields and auto-link
• ⚡ Bulk Update — Update up to 50 items at once
• 🏃 Sprint Management — List, inspect, and move items between sprints
• 🔄 Migration — Bidirectional Jira ↔ Azure DevOps work item migration

Use Cases by Role

Developers

"Show me my active bugs and summarize the blockers"
"Create subtasks for PROJ-123: setup DB schema, write API endpoint, add unit tests"
"Generate test cases for the login feature story"
"What's blocking the current sprint?"

Product Owners & BAs

"Break down epic PROJ-100 into features and stories with acceptance criteria"
"Generate Gherkin acceptance criteria for PROJ-456"
"Estimate story points for the 5 items in the backlog"
"Run a confidence scan on the Q2 launch epic"

Engineering Managers & Scrum Masters

"Show my daily focus as a manager"
"What does the risk radar look like?"
"Generate delivery trends for the last 5 sprints"
"Give me coaching actions for improving sprint predictability"

QE / Test Engineers

"Generate regression test cases for PROJ-789"
"Clone this test story with all fields"
"Bulk update all QA stories to 'In Review'"

Cross-Platform Teams

"Migrate PROJ-123 from Jira to Azure DevOps project MyApp"
"Search for all high-priority bugs across both Jira and ADO"

Installation

Quick Start (NPX - Recommended)

The simplest way to use ajaia-mcp-server is via NPX:

npx ajaia-mcp-server

Global Installation

Or install globally for easier access:

npm install -g ajaia-mcp-server

Local Installation

For development or custom configurations:

npm install ajaia-mcp-server

Configuration

Getting Your API Key

1. Sign up at AJAIA
2. Connect your Jira and/or Azure DevOps accounts
3. Go to Settings → MCP API Keys
4. Click Generate New Key
5. Copy the key and add it to your MCP configuration

Claude Desktop

Add to your claude_desktop_config.json (location varies by OS):

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
Linux: ~/.config/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "ajaia": {
      "command": "npx",
      "args": ["-y", "ajaia-mcp-server"],
      "env": {
        "AJAIA_API_KEY": "your-api-key-here",
        "AJAIA_API_URL": "https://ajaia.subscriptionsense.com"
      }
    }
  }
}

Cursor

Add to your Cursor MCP settings (~/.cursor/mcp.json or via Settings > MCP):

{
  "mcpServers": {
    "ajaia": {
      "command": "npx",
      "args": ["-y", "ajaia-mcp-server"],
      "env": {
        "AJAIA_API_KEY": "your-api-key-here",
        "AJAIA_API_URL": "https://ajaia.subscriptionsense.com"
      }
    }
  }
}

VS Code

If using a VS Code MCP extension, add similar configuration to your VS Code settings.

Available Tools (30)

Core (8 tools)

| Tool | Description | Tier | |------|-------------|------| | get_my_work_items | Get work items assigned to the current user | Pro | | search_work_items | Natural language or JQL/WIQL search | Pro | | analyze_work_item | AI-powered analysis with insights and risk assessment | Pro | | create_work_item | Create issues, bugs, stories, tasks | Pro | | update_work_item | Update status, assignee, priority, fields | Pro | | add_comment | Add comments to work items | Pro | | generate_report | Sprint, velocity, burndown, status reports | Pro | | ai_chat | Conversational AI assistant for project management | Pro |

AI-Powered Actions (7 tools)

| Tool | Description | Tier | |------|-------------|------| | breakdown_epic | AI decomposes epics → features → stories → tasks → test cases | Pro | | generate_test_cases | AI generates functional/edge/integration/regression tests | Enterprise | | create_subtasks | Batch create up to 20 child tasks | Pro | | link_work_items | Create relationships (blocks, relates-to, parent-child) | Pro | | clone_work_item | Deep clone with fields, labels, auto-link | Enterprise | | bulk_update | Update up to 50 items at once | Pro | | manage_sprint | List, inspect, and move items between sprints | Enterprise |

Analytics & Intelligence (9 tools)

| Tool | Description | Tier | |------|-------------|------| | daily_focus | Role-aware daily priorities and top actions | Pro | | risk_radar | Project risk scoring with severity ratings | Pro | | flow_metrics | Cycle time, lead time, throughput, bottlenecks | Pro | | forecast | Completion predictions (optimistic/expected/pessimistic) | Pro | | coaching_actions | AI team improvement suggestions | Pro | | delivery_trends | Sprint velocity and acceleration patterns | Pro | | work_distribution | Workload balance by status, priority, type | Pro | | sprint_predictability | Commitment vs delivery accuracy | Pro | | confidence_scan | Evidence-backed readiness scan for epics/stories | Pro |

PO Toolkit — AI Intelligence (5 tools)

| Tool | Description | Tier | |------|-------------|------| | generate_acceptance_criteria | AI writes Gherkin/bullet/checklist AC | Pro | | estimate_story_points | AI estimates with reasoning and confidence | Pro | | suggest_labels | AI recommends tags based on content | Pro | | recommend_assignment | AI matches work to team members | Pro | | quick_summary | AI-generated concise summary with next steps | Pro |

Cross-Platform Migration (1 tool)

| Tool | Description | Tier | |------|-------------|------| | migrate_work_item | Bidirectional Jira ↔ Azure DevOps migration | Enterprise |

Example Prompts

Once configured, you can ask your AI assistant natural language questions:

Search and Discovery

"Find all active bugs assigned to me and summarize them"
"Search for high priority issues in Azure DevOps project MyApp"
"Show me all user stories in the current sprint"

AI Analysis and Generation

"Break down epic PROJ-100 into stories with acceptance criteria"
"Generate regression test cases for PROJ-789"
"Estimate story points for PROJ-456 with reasoning"
"What's the confidence score on the Q2 launch epic?"

Analytics

"Show my daily focus as a scrum master"
"What does the risk radar look like?"
"Give me flow metrics for the last 30 days"
"Forecast when the backlog will be completed"

Operations

"Create 5 subtasks under PROJ-123 for the API refactoring"
"Bulk update all QA stories to Done"
"Migrate PROJ-100 from Jira to Azure DevOps project MyApp"
"Move PROJ-456 to the next sprint"

Environment Variables

| Variable | Required | Description | Default | | --------------- | -------- | ----------------------------------------------------- | ------------------------------------- | | AJAIA_API_KEY | Yes | Your AJAIA API key (get from Settings → MCP API Keys) | - | | AJAIA_API_URL | No | Custom API URL | https://ajaia.subscriptionsense.com |

Requirements

• Node.js: 18.0.0 or higher
• AJAIA Account: Sign up at ajaia.subscriptionsense.com
• Connected Accounts: At least one Jira or Azure DevOps account connected in AJAIA

Simple NPX-based Installation

The package is designed for simple NPX-based installation and environment configuration:

# No installation needed - just use NPX
npx ajaia-mcp-server

The server will automatically:

• Connect to your AJAIA account using the provided API key
• Access your connected Jira and/or Azure DevOps accounts
• Provide all tools to your MCP-compatible AI assistant

Support

• 📧 Email: [email protected]
• 🌐 Website: https://ajaia.subscriptionsense.com
• 🐛 Issues: https://github.com/pokiDaddy/Ultimate-Jira-ADO-MCP-AI-Assistant-Chatbot/issues
• 📖 Documentation: https://github.com/pokiDaddy/Ultimate-Jira-ADO-MCP-AI-Assistant-Chatbot#readme

License

MIT

Keywords

MCP, Model Context Protocol, Jira, Azure DevOps, DevOps, AI Assistant, Claude, Cursor, Work Item Management, Project Management, Agile, Scrum, Backlog Management, Sprint Reports, Natural Language Processing