FTC Platform MCP Server
A standalone Model Context Protocol (MCP) server for the FTC Platform that provides AI tools by proxying requests to the main platform's REST API.
Architecture
This MCP server runs independently from the main Next.js application and communicates with it via HTTP API calls:
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ Claude AI │───▶│ MCP Server │───▶│ Vercel API │
│ (MCP Client) │ │ (This App) │ │ (ftc-platform) │
└─────────────────┘ └─────────────────┘ └─────────────────┘
Why Separate Deployment?
- Vercel Limitations: Vercel Functions don't support WebSocket servers required for MCP
- Long-lived Connections: MCP sessions are persistent and bidirectional
- Independent Scaling: MCP server can scale separately from the main app
- Clean Architecture: Separation of concerns between web app and AI tools
Available Tools
- test_connection - Verify MCP server and API connectivity
- get_event_applications - Fetch all applications for an event with complete data
- get_event_evaluations - Get completed evaluations with scores and statistics
- get_evaluation_criteria - Get scoring criteria categorized for AI understanding
- get_application_questions - Get application question structure and metadata
Environment Variables
Create a .env file from .env.example:
cp .env.example .env
Required variables:
VERCEL_API_BASE_URL- Base URL of your deployed FTC Platform APIMASTRA_API_KEY- API key for authenticating with the Vercel API
Development
Prerequisites
- Node.js 20+
- Access to the FTC Platform API endpoints
Local Development
- Install dependencies:
npm install
- Set up environment variables:
cp .env.example .env
# Edit .env with your actual values
- Start development server:
npm run dev
- Test the connection:
# In another terminal, test via stdio
echo '{"jsonrpc": "2.0", "id": 1, "method": "tools/list"}' | npm run dev
Deployment
Fly.io (Recommended)
- Install Fly CLI:
curl -L https://fly.io/install.sh | sh
- Login and create app:
fly auth login
fly apps create ftc-platform-mcp
- Set environment variables:
fly secrets set VERCEL_API_BASE_URL="https://your-app.vercel.app/api/mastra"
fly secrets set MASTRA_API_KEY="your-secret-key"
- Deploy:
fly deploy
Docker (Alternative)
# Build
docker build -t ftc-platform-mcp .
# Run locally
docker run -p 3001:3001 \
-e VERCEL_API_BASE_URL="https://your-app.vercel.app/api/mastra" \
-e MASTRA_API_KEY="your-secret-key" \
ftc-platform-mcp
Claude Configuration
After deploying, configure Claude to use your MCP server:
// .mcp.json
{
"mcpServers": {
"ftc-platform": {
"type": "stdio",
"command": "ssh",
"args": [
"your-server.fly.dev",
"node",
"/app/dist/server.js"
],
"env": {
"NODE_ENV": "production"
}
}
}
}
API Authentication
The MCP server authenticates with the Vercel API using the same MASTRA_API_KEY that the main platform uses. This provides:
- Reuse of existing auth - No changes needed to Vercel API
- Server-to-server security - API key is stored securely on the MCP server
- Access control - Same permissions as the main platform
Project Structure
src/
├── server.ts # Main MCP server implementation
├── lib/
│ └── api-client.ts # HTTP client for Vercel API calls
└── types/
└── index.ts # TypeScript type definitions
# Deployment configs
├── Dockerfile # Docker container definition
├── fly.toml # Fly.io deployment config
└── README.md # This file
Monitoring
Health Checks
- HTTP endpoint:
http://your-app:3001/health - Fly.io automatically monitors and restarts unhealthy instances
Logs
# Fly.io logs
fly logs
# Docker logs
docker logs container-id
Troubleshooting
Common Issues
- Connection Failed
- Check
VERCEL_API_BASE_URLis correct and accessible - Verify
MASTRA_API_KEYis valid
- Tool Execution Errors
- Check Vercel API is responding correctly
- Verify eventId parameters are valid UUIDs
- MCP Client Issues
- Ensure Claude has the correct MCP server configuration
- Check stdio communication is working properly
Debug Mode
Set environment variable for verbose logging: ``bash NODE_ENV=development npm run dev ``






