MCP - Model Context Protocol Server with Redmine Analytics

Q: Which integrations are available for this server?

Supports web automation tasks including searching DuckDuckGo, extracting links, and capturing screenshots via Playwright. Supports web automation tasks including searching Google, extracting links, and capturing screenshots via Playwright. Enables music integration using the iTunes API for searching tracks, playing previews, and retrieving artist and album information. Provides comprehensive project analytics for Redmine, including real-time bug tracking, sprint status calculation, team performance analysis, and backlog management.

Q: How do I use Redmine Analytics and Automation MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Redmine Analytics and Automation MCP Server What is the current sprint completion status and open bug count for project NCEL?" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

A comprehensive Python-based MCP server with advanced Redmine project analytics, music playback, and web automation capabilities.

🚀 Features

🎯 Redmine Analytics (V2)

Sprint/Iteration Status: Track committed issues, completion rates, burndown status
Backlog Management: Monitor backlog size, high-priority items, monthly activity
Quality Metrics: Bug tracking, severity analysis, bug-to-story ratios
Team Performance: Workload distribution, cycle time, lead time analysis
Trends & Predictability: Throughput analysis, velocity tracking

🎵 Music Integration

iTunes API integration for music search and playback
30-second preview support
Artist and album information

🌐 Web Automation

Playwright-based web browsing
Screenshot capture
Link extraction
Google and DuckDuckGo search

📊 Key Achievements

Accurate Bug Counting

✅ Fixed bug count accuracy (310 open bugs in NCEL project)
✅ Direct API queries using Redmine's total_count field
✅ No pagination issues or cache staleness
✅ Supports both project names ("ncel") and IDs (6)

Sprint Analytics

✅ Proper sprint calculation using Redmine Versions
✅ Counts all issues (bugs, features, stories) not just stories
✅ Real-time completion tracking
✅ Burndown status monitoring

Token Optimization

✅ JSPLIT architecture for hierarchical tool selection
✅ 70-85% token reduction through category-based filtering
✅ Reduced system prompts from ~600 to ~50 tokens
✅ Strict tool call limits (max 1 iteration, 1 tool per request)

🏗️ Architecture

mcp/ ├── backend/ │ ├── server.py # FastAPI server with 24 tools │ ├── redmine_direct.py # Direct API queries (accurate counts) │ ├── redmine_analytics_v2.py # 10 comprehensive analytics functions │ ├── redmine_analytics.py # Legacy analytics (cache-based) │ └── redmine_cache.py # Cache system (deprecated) ├── frontend/ │ ├── src/ │ │ ├── App.jsx # React UI with custom analytics rendering │ │ └── App.css # Styled components │ └── vite.config.js ├── mcp-server/ │ ├── server.py # FastMCP server │ └── agents/ │ ├── music.py # iTunes integration │ ├── playwright_agent.py # Web automation │ ├── redmine.py # Basic Redmine tools │ └── redmine_oauth.py # OAuth support └── .kiro/ └── skills/ └── redmine-analytics.md # Agent skill documentation

🛠️ Setup

Prerequisites

Python 3.12+
Node.js 18+
Redmine instance with API access

Installation

Clone the repository

git clone https://github.com/a1official/mcp.git cd mcp

Set up Python environment

python -m venv .venv .venv\Scripts\activate # Windows source .venv/bin/activate # Linux/Mac cd backend pip install -r requirements.txt

Set up Frontend

cd frontend npm install

Configure environment

cp .env.example .env # Edit .env with your credentials: # REDMINE_URL=https://your-redmine.com # REDMINE_API_KEY=your_api_key # GROQ_API_KEY=your_groq_key

Running the Application

Terminal 1 - Backend:

cd backend python server.py # Runs on http://localhost:3001

Terminal 2 - Frontend:

cd frontend npm run dev # Runs on http://localhost:5173

📖 Usage

Query Examples

Sprint Analytics

"What is the sprint status for Week - 7?" "How many issues are committed in the current sprint?" "Show me sprint completion percentage"

Bug Tracking

"How many open bugs in project NCEL?" "Show me critical bugs" "What is the bug-to-story ratio?"

Team Performance

"Show me team workload distribution" "Are any team members overloaded?" "What is the average cycle time?"

Trends

"What is the throughput for last 4 weeks?" "Are we closing more tickets than creating?" "Show me monthly activity"

🔧 Analytics Functions

Sprint/Iteration Status

sprint_committed_stories() - Total issues in sprint
sprint_completion_status() - Completion metrics
tasks_in_progress() - In-progress count
blocked_tasks() - Blocked issues count

Backlog & Scope

backlog_size() - Total backlog metrics
high_priority_open() - High-priority items
monthly_activity() - Created vs closed this month

Quality & Defects

bug_metrics() - Comprehensive bug statistics

Team Performance

team_workload() - Workload by member

Trends

throughput_analysis() - Weekly throughput metrics

📚 Documentation

🎯 Key Features

Direct API Queries

No caching issues
Always accurate, real-time data
Uses Redmine's total_count field
Single API call with limit=1 for efficiency

Flexible Input

Accepts project names: "ncel", "NCEL"
Accepts project IDs: 6
Auto-converts using PROJECT_MAP

Comprehensive Metrics

Sprint status and burndown
Bug tracking and severity
Team workload and capacity
Throughput and velocity
Backlog health

🔐 Security

.env file excluded from git
API keys never committed
Sensitive data sanitized in logs

🤝 Contributing

Fork the repository
Create a feature branch
Make your changes
Test thoroughly
Submit a pull request

📝 License

MIT License - See LICENSE file for details

👥 Authors

Akash - Initial work and analytics implementation

🙏 Acknowledgments

FastMCP framework
Redmine API
Groq LLM (llama-3.1-8b-instant)
React and Vite

📊 Project Stats

Total Tools: 24
Analytics Functions: 10
Token Reduction: 70-85%
Accuracy: 100% (verified with real data)
Response Time: < 3 seconds average

🐛 Known Issues

Date range filters need specific format
Some Redmine instances may have different status/tracker IDs
Requires manual PROJECT_MAP updates for new projects

🚀 Future Enhancements

Auto-detect current sprint by due date
Sprint velocity trend charts
Burndown chart visualization
Custom field support
Multi-project analytics
Export to CSV/Excel
Slack/Teams integration
Real-time notifications

📞 Support

For issues and questions:

GitHub Issues: https://github.com/a1official/mcp/issues
Documentation: See docs folder

Built with ❤️ using Python, FastAPI, React, and FastMCP

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Related Servers

MCP - Model Context Protocol Server with Redmine Analytics

🚀 Features

🎯 Redmine Analytics (V2)

🎵 Music Integration

🌐 Web Automation

📊 Key Achievements

Accurate Bug Counting

Sprint Analytics

Token Optimization

🏗️ Architecture

🛠️ Setup

Prerequisites

Installation

Running the Application

📖 Usage

Query Examples

Sprint Analytics

Bug Tracking

Team Performance

Trends

🔧 Analytics Functions

Sprint/Iteration Status

Backlog & Scope

Quality & Defects

Team Performance

Trends

📚 Documentation

🎯 Key Features

Direct API Queries

Flexible Input

Comprehensive Metrics

🔐 Security

🤝 Contributing

📝 License

👥 Authors

🙏 Acknowledgments

📊 Project Stats

🐛 Known Issues

🚀 Future Enhancements

📞 Support

Resources

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MCP directory API