# Glama.ai Integration Guide for Robotics MCP
## ⚠️ Alpha Status & Dependencies
**IMPORTANT**: This server is in **ALPHA** and requires multiple composited MCP servers to function:
- **Required**: `osc-mcp`, `unity3d-mcp`, `vrchat-mcp`, `avatar-mcp`, `blender-mcp`, `gimp-mcp`
- **Status**: Active development - features may change or be incomplete
- **Virtual Robotics**: Prioritized (vbot) - physical robot support coming after hardware arrives
## 🎉 Platform Discovery
Our **robotics-mcp** repository has been discovered and indexed by the Glama.ai platform!
### Repository Listing
- **URL**: https://glama.ai/mcp/servers/%40sandraschi/robotics-mcp
- **Status**: ✅ Indexed and Discoverable
- **Search Terms**: `robotics-mcp`, `robotics`, `ros`, `unity`, `vrchat`, `sandraschi`, `moorebot`, `unitree`
- **Discovery Method**: `glama.json` file in repository root (now added)
### glama.json Configuration
**Important**: Glama.ai uses `glama.json` for discovery (not naming conventions). Our `glama.json` clearly indicates:
- Alpha status
- Required composited MCP servers
- Virtual robotics prioritization
- MCP server composition requirements
See `glama.json` in repository root for full configuration.
## 📊 Project Statistics
### Codebase Metrics
- **Total Lines of Code**: ~9,200 lines
- **Test Lines**: ~2,600 lines
- **Documentation**: ~4,100 lines
- **Test Files**: 21 test files (unit + integration)
- **Tools**: 11 portmanteau tools
- **Status**: ⚠️ Alpha - Ongoing Development (requires multiple composited MCP servers)
### Quality Indicators
- ✅ **FastMCP 2.13+**: Latest framework version
- ✅ **Comprehensive Testing**: Unit + integration tests
- ✅ **Code Quality**: Black, ruff, mypy configured
- ✅ **Coverage**: pytest-cov with HTML reports
- ✅ **Documentation**: Extensive docs in `docs/` folder
- ✅ **MCPB Packaging**: One-click installation support
- ✅ **Dual Transport**: stdio (MCP) + HTTP (FastAPI)
## 🚀 Platform Features
### For Users
- **Unified Interface**: ChatGPT-like experience for robot control
- **Server Comparison**: Side-by-side capability analysis
- **Security Verification**: Automated security scanning
- **Easy Integration**: One-click Claude Desktop setup
- **Natural Language Control**: Issue commands in plain English
### For Developers
- **Quality Ranking**: Automated scoring system
- **Community Access**: Discord (1,754+ members)
- **API Integration**: RESTful and WebSocket APIs
- **Performance Monitoring**: Real-time metrics
- **Repository Analytics**: Views, downloads, engagement tracking
## 🔧 Repository Configuration
### glama.json
Repository metadata for Glama.ai indexing (located in repository root):
```json
{
"$schema": "https://glama.ai/mcp/schemas/server.json",
"maintainers": ["sandraschi"],
"name": "robotics-mcp",
"description": "Unified robotics control via MCP - Physical and virtual robots (bot + vbot). ALPHA status - requires multiple composited MCP servers to function.",
"type": "mcp_server",
"status": "alpha",
"framework": "FastMCP 2.13+",
"tools": 11,
"transport": ["stdio", "http"],
"dependencies": {
"required_mcp_servers": [
"osc-mcp",
"unity3d-mcp",
"vrchat-mcp",
"avatar-mcp",
"blender-mcp",
"gimp-mcp"
],
"note": "This server composes 6+ MCP servers - all must be properly configured and running for full functionality"
}
}
```
**Key Points:**
- `"status": "alpha"` clearly indicates development status
- `"dependencies.required_mcp_servers"` lists all 6 required composited servers
- `"type": "mcp_server"` indicates this is an MCP server (not dual architecture)
- Glama.ai will use this file for discovery and indexing
### Project Metadata
- **Name**: robotics-mcp
- **Version**: 0.1.0
- **Description**: Unified robotics control via MCP - Physical and virtual robots (bot + vbot)
- **License**: MIT
- **Python**: 3.10+
- **Keywords**: robotics, mcp, ros, unity, vrchat, virtual-robotics, fastmcp, moorebot, unitree
### Key Features Highlighted
- **Physical Robot Control**: Moorebot Scout (ROS 1.4), Unitree Go2/G1
- **Virtual Robot Control**: Unity3D/VRChat/Resonite integration
- **YDLIDAR Integration**: SuperLight (95g) LiDAR for Scout
- **World Labs Marble/Chisel**: Environment generation and import
- **MCP Server Composition**: Integrates with 6+ MCP servers
- **Robot Model Creation**: Automated 3D model creation (Blender + GIMP)
## 📈 Automatic Updates
Glama.ai automatically scans our repository for updates through:
- **GitHub Webhooks**: Real-time notifications
- **Release Monitoring**: New version detection
- **Commit Analysis**: Quality metric updates
- **CI/CD Integration**: Build status monitoring
- **Daily/Weekly Scans**: For repositories with activity
## 🎯 Unique Selling Points
### Robotics Specialization
- **Dual Mode**: Physical (ROS) + Virtual (Unity/VRChat) robots
- **Multi-Platform**: Unity, VRChat, Resonite support
- **ROS Bridge**: ROS 1.4 (Melodic) via rosbridge_suite
- **LiDAR Integration**: YDLIDAR SuperLight support
- **Environment Import**: World Labs Marble/Chisel integration
### Tool Categories
- **Robot Control**: Movement, status, emergency stop
- **Virtual Robotics**: Spawn, load environments, sync with physical
- **Robot Behavior**: Animation, camera, navigation, manipulation
- **Robot Models**: Create, import, export, convert 3D models
- **System Management**: Status, health checks, diagnostics
- **SPZ Converter**: World Labs .spz file conversion
### Target Users
- **Robotics Researchers**: Physical and virtual robot testing
- **Game Developers**: Unity/VRChat robot integration
- **ROS Developers**: ROS bridge and command translation
- **Content Creators**: Virtual robot environments and animations
## 🔄 Integration Checklist
### Repository Setup
- [x] Professional README with installation instructions
- [x] CHANGELOG.md following Keep a Changelog format
- [x] CONTRIBUTING.md with development guidelines
- [x] Comprehensive documentation in `docs/` folder
- [x] Issue and PR templates (if applicable)
### Quality Assurance
- [x] CI/CD pipeline with multi-version testing
- [x] Code quality checks (Black, ruff, mypy)
- [x] Security scanning and dependency review
- [x] Test coverage reporting (pytest-cov)
- [x] MCPB package validation
- [x] FastMCP 2.13+ compliance
### Platform Integration
- [x] `glama.json` file created in repository root
- [x] Repository indexed and discoverable
- [x] Repository topics and description optimized
- [x] GitHub Releases with MCPB packages
- [x] Cross-platform compatibility verified
### Distribution
- [x] GitHub Releases with MCPB packages
- [x] PyPI publishing configured (when ready)
- [x] One-click Claude Desktop installation
- [x] Dual transport (stdio + HTTP)
## 📊 Repository Analytics
### Metrics to Track
- **Repository Views**: Monitor visibility on Glama.ai
- **MCPB Downloads**: Track package downloads
- **Community Engagement**: GitHub stars, forks, issues
- **Quality Score**: Maintain high quality metrics
- **Search Rankings**: Position in Glama.ai search results
### Quality Signals
- ✅ Green CI/CD badges
- ✅ High test coverage (21 test files)
- ✅ Recent commits/releases
- ✅ Professional documentation (4,100+ lines)
- ✅ Security policy
- ✅ Contributing guidelines
## 🚀 Future Opportunities
### Enhanced Integration
- **Premium Features**: Advanced analytics and monitoring
- **Custom Branding**: Enhanced repository presentation
- **API Access**: Direct integration with Glama.ai infrastructure
- **Community Showcase**: Use as case study for MCP robotics development
### Community Building
- **Showcase Repository**: Demonstrate MCP robotics capabilities
- **Contributor Recruitment**: Attract contributors through platform visibility
- **User Feedback**: Direct access to user feedback and feature requests
- **Collaboration**: Connect with other MCP server developers
## 📋 Action Items
### Immediate
- [x] `glama.json` file created in repository root
- [x] Repository indexed and discoverable on Glama.ai
- [x] Documentation created (this file)
- [x] Repository metadata optimized
- [x] Alpha status clearly documented in glama.json
- [x] MCP server dependencies listed in glama.json
- [ ] Monitor initial quality score from Glama.ai
- [ ] Set up webhook integration (if available)
### Ongoing
- [ ] Monitor repository analytics on Glama.ai
- [ ] Engage with Glama.ai community
- [ ] Track quality metric improvements
- [ ] Respond to user feedback
- [ ] Maintain high quality standards
## 🔍 Robotics MCP-Specific Features
### Unique Capabilities
- **Virtual-First Development**: Prioritized virtual robotics for testing
- **Multi-Robot Coordination**: Physical and virtual robots together
- **Environment Import**: World Labs Marble/Chisel integration
- **3D Model Pipeline**: Automated robot model creation
- **ROS Bridge**: Seamless ROS integration
- **Dual Transport**: stdio (MCP) + HTTP (FastAPI) endpoints
### Tool Count
- **11 Portmanteau Tools**: Consolidated operations
- `robotics_system`: System management
- `robot_control`: Unified robot control
- `robot_behavior`: Animation, camera, navigation, manipulation
- `robot_virtual`: Virtual robot lifecycle
- `robot_model`: Model creation and management
- `spz_converter`: World Labs file conversion
### Integration Ecosystem
- **6+ MCP Servers**: Composed integration
- `osc-mcp`: OSC communication
- `unity3d-mcp`: Unity integration
- `vrchat-mcp`: VRChat integration
- `avatar-mcp`: Avatar management
- `blender-mcp`: 3D model creation
- `gimp-mcp`: Texture creation
## 📈 Platform Position
### Current Status
- **Discovery**: ✅ Indexed on Glama.ai
- **Quality Score**: Pending initial assessment
- **Tool Count**: 11 tools
- **User Adoption**: Growing community
- **Status**: ⚠️ Alpha - Ongoing Development (Virtual robotics prioritized, requires 6+ composited MCP servers)
### Competitive Advantages
- **Robotics Specialization**: Focused on robotics domain
- **Dual Mode**: Physical + virtual robot support
- **Virtual-First**: Prioritized virtual robotics development
- **MCP Composition**: Integrates 6+ MCP servers
- **Professional Packaging**: MCPB distribution
- **Cross-Platform**: Windows, macOS, Linux support
## 🎯 Success Metrics
### Quantitative Metrics
- **Repository Views**: Track visibility on Glama.ai
- **MCPB Downloads**: Monitor package downloads
- **Community Engagement**: GitHub activity
- **Quality Score**: Maintain high quality metrics
- **Search Rankings**: Position in Glama.ai results
### Qualitative Metrics
- **User Feedback**: Reviews and feature requests
- **Professional Recognition**: Industry acknowledgment
- **Community Contributions**: Growing contributor base
- **Platform Positioning**: Top-tier MCP server status
## 📞 Community and Support
### Official Channels
- **GitHub**: https://github.com/sandraschi/robotics-mcp
- **Issues**: https://github.com/sandraschi/robotics-mcp/issues
- **Glama.ai**: https://glama.ai/mcp/servers/%40sandraschi/robotics-mcp
### Developer Resources
- **Documentation**: Comprehensive docs in `docs/` folder
- **Examples**: Usage examples in README
- **Contributing**: CONTRIBUTING.md guidelines
- **Architecture**: docs/ARCHITECTURE.md
## 🔧 Optimization for Better Rankings
### Repository Settings
1. **Description**: "Unified robotics control via MCP - Physical and virtual robots (bot + vbot)"
2. **Topics**: `mcp-server`, `robotics`, `ros`, `unity`, `vrchat`, `virtual-robotics`, `fastmcp`, `moorebot`, `unitree`, `alpha`, `mcp-composition`
3. **Badges**: FastMCP, Python, License badges displayed
### Quality Signals
- ✅ Comprehensive test suite (21 test files)
- ✅ High documentation coverage (4,100+ lines)
- ✅ Professional code quality tools
- ✅ MCPB packaging
- ✅ FastMCP 2.13+ compliance
- ✅ Dual transport support
---
*Glama.ai Integration Guide for Robotics MCP*
*Discovery Date: December 2, 2025*
*Status: Indexed and Discoverable*
*Project Stats: ~9,200 LOC, ~2,600 test lines, ~4,100 doc lines*
