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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


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


Built by

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security - not tested
A
license - permissive license
-
quality - not tested

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