Roba Labs MCP Server

Roba Labs MCP Server

Provides a comprehensive robotics information hub with details on frameworks like ROS and Gazebo, robot types, and curated learning resources. It enables AI assistants to access offline robotics documentation and development roadmaps without external API dependencies.

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πŸ€– Roba Labs MCP Server v0.1.0

License: MIT Node Version MCP Protocol Roba Labs

Model Context Protocol (MCP) server for Roba Labs

Features β€’ Quick Start β€’ Tools β€’ Examples β€’ Security

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πŸš€ Features

πŸ€– Robotics Information Hub

  • Platform Overview - Complete information about Roba Labs ecosystem
  • Framework Catalog - 15+ robotics frameworks (ROS, ROS2, Gazebo, Isaac Sim, PyBullet, MuJoCo)
  • Robot Types - 13+ robot categories with detailed specifications
  • Learning Resources - 20+ curated tutorials and documentation
  • Development Roadmap - 4-phase platform development plan
  • Self-contained Data - No external API required, works offline

πŸ—οΈ Professional Architecture

  • Built on MCP Protocol 2024-11-05 specification
  • Dual-server support (HTTP + MCP stdio for Claude Desktop)
  • Comprehensive test coverage (19/19 tests passing)
  • Clean, modular code structure with JSDoc documentation
  • Zero-configuration deployment with sensible defaults
  • 5 specialized tools for robotics information access

πŸ“¦ Quick Start

Note: This MCP server provides curated robotics information without requiring external APIs. Perfect for AI assistants helping with robotics development!

βœ… Prerequisites

# Required
Node.js >= 18.0.0
npm >= 9.0.0

πŸ“₯ Installation

# Clone the repository
git clone https://github.com/Tairon-ai/roba-labs-mcp.git
cd roba-labs-mcp

# Install dependencies
npm install

# Start the HTTP server
npm start

# Development mode
npm run dev

# MCP stdio server for Claude Desktop
npm run mcp

πŸ€– Claude Desktop Integration

Add to your Claude Desktop configuration:

{
  "mcpServers": {
    "roba-labs": {
      "command": "node",
      "args": ["/path/to/roba-labs-mcp/mcp/index.js"]
    }
  }
}

Note: No environment variables required - all data is self-contained!


πŸ›  Available Tools

🌐 Platform Information

Tool Description Parameters Returns
get_roba_info Get comprehensive Roba Labs platform information None Platform overview, features, links, token utility

πŸ”§ Robotics Frameworks

Tool Description Parameters Returns
list_frameworks List robotics frameworks with documentation category (optional): "simulation", "middleware", "physics" Framework catalog with ROS, ROS2, Gazebo, Isaac Sim, PyBullet, MuJoCo, etc.

πŸ€– Robot Types

Tool Description Parameters Returns
list_robot_types Get robot types with characteristics category (optional): "mobile", "manipulator", "aerial", "specialized" Robot catalog with complexity levels, sensors, use cases

πŸ“š Learning Resources

Tool Description Parameters Returns
get_resources Get curated learning materials topic (optional): "getting_started", "advanced", "frameworks", "tutorials", "community" Tutorials, documentation links, community resources

πŸ—ΊοΈ Platform Roadmap

Tool Description Parameters Returns
get_roadmap Get Roba Labs development roadmap None 4-phase roadmap, upcoming features, how to get involved

πŸ€– Usage Examples

πŸ’¬ Example Prompts for AI Assistants

🌐 Platform Information

"Tell me about Roba Labs platform"
"What is Roba Labs?"
"Show me Roba Labs features and links"
"What's the ROBA token used for?"

πŸ”§ Framework Queries

"What robotics frameworks are available?"
"Show me simulation frameworks"
"List ROS and ROS2 details"
"What's the difference between Gazebo and Isaac Sim?"
"Which framework should I use for drone simulation?"

πŸ€– Robot Type Queries

"What types of robots are there?"
"Show me mobile robots"
"What are the characteristics of manipulator robots?"
"List aerial robots and drones"
"What sensors do autonomous cars need?"

πŸ“š Learning Resource Queries

"How do I get started with ROS?"
"Show me ROS2 tutorials"
"Where can I learn about robotics simulation?"
"What are good resources for beginners?"
"Find me advanced robotics tutorials"

πŸ—ΊοΈ Roadmap Queries

"What's the Roba Labs roadmap?"
"Show me upcoming features"
"What phase is Roba Labs in now?"
"How can I contribute to Roba Labs?"

πŸš€ Deployment

🏭 Production Deployment

# Start production server
NODE_ENV=production npm start

# With PM2
pm2 start server.js --name roba-labs-mcp

# With Docker
docker build -t roba-labs-mcp .
docker run -d -p 8080:8080 roba-labs-mcp

πŸ” Health Check

# Check server health
curl http://localhost:8080/health

# Get server info
curl http://localhost:8080/info

πŸ”’ Security & Privacy

πŸ›‘οΈ Security Features

  • No API Keys Needed - Self-contained operation, no authentication required
  • No External Requests - All data is local, works completely offline
  • No Data Collection - No user data collected or transmitted
  • Open Source - Full code transparency and auditing
  • Local Processing - All operations happen on your machine

πŸ” Best Practices

  • No Credentials Required - No sensitive data to protect
  • Offline Capable - Works without internet connection
  • Zero Rate Limiting - No external service dependencies
  • Full Privacy - No telemetry or tracking

πŸ“Š Supported Data

🌐 Robotics Frameworks (15+)

  • Middleware: ROS, ROS2
  • Simulation: Gazebo, Isaac Sim (NVIDIA), PyBullet, MuJoCo
  • Physics: ODE, Bullet Physics, Simbody, DART

πŸ€– Robot Types (13+)

  • Mobile Robots: Differential drive, mecanum, autonomous cars
  • Manipulators: 6-DOF arms, collaborative robots, dual-arm systems
  • Aerial: Quadcopters, fixed-wing drones
  • Specialized: Humanoids, quadrupeds, underwater ROVs

πŸ“š Learning Resources (20+)

  • Official ROS/ROS2 tutorials
  • Framework documentation
  • Community forums and Q&A
  • Video courses and guides

πŸ—ΊοΈ Roadmap Information

  • 4 development phases
  • Feature timeline
  • Contribution opportunities

πŸ“ˆ Performance

  • Response Time: < 1ms (local data)
  • Offline Capable: Works without internet
  • Zero Latency: No network requests
  • Test Coverage: 19/19 tests passing (100%)
  • Reliability: No external service dependencies

🀝 Contributing

We welcome contributions! Please read our Contributing Guide for details on how to get started.

# Fork and clone
git clone https://github.com/Tairon-ai/roba-labs-mcp.git

# Create feature branch
git checkout -b feature/your-feature

# Make changes and test
npm test

# Commit and push
git commit -m 'feat: add your feature'
git push origin feature/your-feature

# Open Pull Request

Please read CONTRIBUTING.md for details on our code of conduct and development process.


πŸ“„ License

This project is licensed under the MIT License - see the LICENSE file for details.


πŸ™ Acknowledgments


πŸ“š Resources


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Built by Tairon.ai team with help from Claude

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