Digital Twin MCP Server
MCP server for Digital Twin learner data, providing tools for AI Guide to explore metamodel and manage twin data with access control.
README
Digital Twin MCP Server
Тип репозитория:
DS/instrument
MCP (Model Context Protocol) server for Digital Twin learner data. Provides tools for AI Guide (Проводник) to work with learner profiles based on 4-type indicator classification.
Overview
This server implements a metamodel-driven approach with 3 MCP tools and 4 indicator types (IND.1-4).
Key Features
- 3 MCP Tools for metamodel exploration and data management
- 4-Type Classification (IND.1-4) with access control
- 65+ Indicators organized in hierarchical structure
- Dual Deployment - stdio for local MCP clients + HTTP API for Cloudflare Workers
Architecture
┌─────────────────────────────────────┐
│ AI Guide (LLM with MCP client) │
│ - Analyzes learner state │
│ - Calls MCP tools │
│ - Provides guidance │
└──────────────┬──────────────────────┘
│
▼
┌─────────────────────────────────────┐
│ MCP Server (this project) │
│ - 3 tools │
│ - Access control (IND.1 writable) │
│ - Metamodel-driven │
└──────────────┬──────────────────────┘
│
▼
┌─────────────────────────────────────┐
│ Data Store │
│ - Metamodel (MD files) │
│ - Twin data (PostgreSQL/Neon) │
│ - OAuth state (Cloudflare KV) │
└─────────────────────────────────────┘
Available Tools
| Tool | Description |
|---|---|
describe_by_path |
Navigate metamodel structure. List categories, groups, indicators |
read_digital_twin |
Read data from digital twin by path |
write_digital_twin |
Write data to digital twin (1_declarative only for users) |
Installation
Prerequisites
- Node.js 18+
- npm or yarn
- Cloudflare account (for deployment)
- Neon PostgreSQL database (for persistent twin data storage)
Install Dependencies
npm install
Usage
Option 1: Local MCP Server (stdio)
For use with MCP clients like Claude Desktop:
node src/index.js
Add to your MCP client configuration:
{
"mcpServers": {
"digital-twin": {
"command": "node",
"args": ["/path/to/digital-twin-mcp/src/index.js"]
}
}
}
Option 2: Cloudflare Workers (HTTP API)
Local Development
npm run dev
This starts the development server at http://localhost:8787
Test Endpoints
# Health check
curl http://localhost:8787/
# List all tools
curl http://localhost:8787/tools
# Describe metamodel root
curl -X POST http://localhost:8787/call \
-H "Content-Type: application/json" \
-d '{
"tool": "describe_by_path",
"arguments": {"path": "/"}
}'
Deploy to Cloudflare
Uses Cloudflare GitHub App for automatic deployment on push to main.
Set secrets before first deploy:
npx wrangler secret put ORY_CLIENT_SECRET --env ory-auth
npx wrangler secret put DATABASE_URL --env ory-auth
Manual deployment:
npm run deploy -- --env ory-auth
API Examples
Explore Metamodel
# List all categories
curl -X POST http://localhost:8787/call \
-H "Content-Type: application/json" \
-d '{"tool": "describe_by_path", "arguments": {"path": "/"}}'
# List subgroups in 1_declarative
curl -X POST http://localhost:8787/call \
-H "Content-Type: application/json" \
-d '{"tool": "describe_by_path", "arguments": {"path": "1_declarative"}}'
# List indicators in goals subgroup
curl -X POST http://localhost:8787/call \
-H "Content-Type: application/json" \
-d '{"tool": "describe_by_path", "arguments": {"path": "1_declarative/1_2_goals"}}'
# Read specific indicator definition
curl -X POST http://localhost:8787/call \
-H "Content-Type: application/json" \
-d '{"tool": "describe_by_path", "arguments": {"path": "1_declarative/1_2_goals/09_Цели обучения"}}'
Read Twin Data
# Read all data
curl -X POST http://localhost:8787/call \
-H "Content-Type: application/json" \
-d '{"tool": "read_digital_twin", "arguments": {"path": "/"}}'
# Read specific path
curl -X POST http://localhost:8787/call \
-H "Content-Type: application/json" \
-d '{"tool": "read_digital_twin", "arguments": {"path": "indicators.agency"}}'
Write Twin Data
# Write to 1_declarative (allowed)
curl -X POST http://localhost:8787/call \
-H "Content-Type: application/json" \
-d '{
"tool": "write_digital_twin",
"arguments": {
"path": "1_declarative/goals/learning",
"data": ["Learn TypeScript", "Master MCP"]
}
}'
# Write to 2_collected (denied for users)
curl -X POST http://localhost:8787/call \
-H "Content-Type: application/json" \
-d '{
"tool": "write_digital_twin",
"arguments": {
"path": "2_collected/time/total",
"data": 100
}
}'
# Returns: {"error": "Access denied: users cannot write to 2_collected"}
Testing
Run tests:
npm test
Test stdio server directly:
echo '{"jsonrpc":"2.0","id":1,"method":"tools/list"}' | node src/index.js
Development
Project Structure
digital-twin-mcp/
├── src/
│ ├── index.js # MCP server (stdio, file-based storage)
│ ├── worker-sse.js # Cloudflare Worker (PostgreSQL/Neon storage)
│ └── metamodel-data.js # Generated metamodel data
├── metamodel/ # MD files defining indicators
├── data/
│ └── twin.json # Twin data store (stdio mode only)
├── scripts/
│ └── build-metamodel.js # Regenerate metamodel-data.js
├── package.json
├── wrangler.toml # Cloudflare config
└── README.md
Adding New Indicators
- Determine type (IND.1-4)
- Place MD file in correct category/subgroup folder
- Use format:
NN_Name.md - Include required metadata:
# IND.X.Y.Z **Name:** Indicator name **Name (EN):** English name **Type:** semantic|temporal|categorical **Format:** string|float|enum|structured_text - Regenerate data:
node scripts/build-metamodel.js - Run tests:
npm test
Related Documentation
- ABOUT.md - Positioning in knowledge architecture, specifications, indicator classification, metamodel structure
- MAPSTRATEGIC.md - Strategic vision (phases, versions)
- WORKPLAN.md - Operational plan (work products, deadlines)
- QUICKSTART.md - Quick deployment guide
- DEPLOYMENT.md - Full deployment guide
- Model Context Protocol
- Cloudflare Workers Docs
License
MIT
Version: 2.0.0 Last Updated: 2025-02-05
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