Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Roba Labs MCP ServerWhat are the differences between Gazebo and Isaac Sim?"
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.
π€ Roba Labs MCP Server v0.1.0
Model Context Protocol (MCP) server for Roba Labs
Features β’ Quick Start β’ Tools β’ Examples β’ Security
π Features
π€ 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
ποΈ 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
π¦ Quick Start
Note: This MCP server provides curated robotics information without requiring external APIs. Perfect for AI assistants helping with robotics development!
β Prerequisites
# Required
Node.js >= 18.0.0
npm >= 9.0.0π₯ 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 mcpπ€ 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!
π Available Tools
π Platform Information
Tool | Description | Parameters | Returns |
| Get comprehensive Roba Labs platform information | None | Platform overview, features, links, token utility |
π§ Robotics Frameworks
Tool | Description | Parameters | Returns |
| List robotics frameworks with documentation |
| Framework catalog with ROS, ROS2, Gazebo, Isaac Sim, PyBullet, MuJoCo, etc. |
π€ Robot Types
Tool | Description | Parameters | Returns |
| Get robot types with characteristics |
| Robot catalog with complexity levels, sensors, use cases |
π Learning Resources
Tool | Description | Parameters | Returns |
| Get curated learning materials |
| Tutorials, documentation links, community resources |
πΊοΈ Platform Roadmap
Tool | Description | Parameters | Returns |
| Get Roba Labs development roadmap | None | 4-phase roadmap, upcoming features, how to get involved |
π€ Usage Examples
π¬ Example Prompts for AI Assistants
π 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?"π§ 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?"π€ 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?"π 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"πΊοΈ 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?"π Deployment
π 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-mcpπ Health Check
# Check server health
curl http://localhost:8080/health
# Get server info
curl http://localhost:8080/infoπ Security & Privacy
π‘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
π 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
π Supported Data
π Robotics Frameworks (15+)
Middleware: ROS, ROS2
Simulation: Gazebo, Isaac Sim (NVIDIA), PyBullet, MuJoCo
Physics: ODE, Bullet Physics, Simbody, DART
π€ 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
π Learning Resources (20+)
Official ROS/ROS2 tutorials
Framework documentation
Community forums and Q&A
Video courses and guides
πΊοΈ Roadmap Information
4 development phases
Feature timeline
Contribution opportunities
π 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
π€ 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 RequestPlease read CONTRIBUTING.md for details on our code of conduct and development process.
π License
This project is licensed under the MIT License - see the LICENSE file for details.
π Acknowledgments
Roba Labs - Open robotics development platform
MCP Protocol - Model Context Protocol specification
ROS - Robot Operating System
Open Source Robotics Community - Framework development
π Resources
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