cdata-sync-mcp-server
MCP server for CData Sync - enables natural language and/or AI assistants to manage ETL jobs, data connections, and transformations via Model Context Protocol
Documentation
CData Sync MCP Server
A comprehensive Model Context Protocol (MCP) server for CData Sync with dual transport support. This server exposes CData Sync's REST API as MCP tools, enabling AI assistants like Claude to manage data synchronization jobs, connections, and ETL operations.
Transport Options:
- stdio - For desktop usage with Claude Desktop app
- HTTP - For remote server deployments and API access
✨ Features
- 🔧 20 Consolidated MCP Tools - Streamlined read/write operations for all entity types
- 🚀 Dual Transport Support - Both stdio (Claude Desktop) and Streamable HTTP (web clients)
- 📡 Real-time Notifications - Live monitoring of job executions and API calls via Server-Sent Events
- 🏗️ Production-Ready Architecture - TypeScript, error handling, logging, and comprehensive type safety
- 🔐 Multiple Auth Methods - Support for API tokens and basic authentication
- 🌐 Web Client Support - RESTful HTTP API with streaming capabilities
- 📊 Job Management - Execute, monitor, and control data sync jobs
- 🔌 Connection Management - Test, create, and manage data connections
- 👥 User Management - Handle user accounts and permissions
- 📈 History & Logging - Access execution history and detailed logs
🚀 Quick Start
Prerequisites
- Node.js 18+
- CData Sync instance running
- Claude Desktop (for stdio transport) or web browser (for HTTP transport)
Installation
1. Clone the repository
git clone https://github.com/CDataSoftware/cdata-sync-mcp-server.git
cd cdata-sync-mcp-server2. Install dependencies
npm install3. Build the project
npm run build4. Configure environment variables
# Copy the example environment file
cp .env.example .env
# Edit with your CData Sync details
CDATA_BASE_URL="http://localhost:8181/api.rsc"
CDATA_AUTH_TOKEN="your-auth-token"
CDATA_WORKSPACE="your-workspace-uuid" # Optional: scope operations to specific workspace
MCP_TRANSPORT_MODE="both" # stdio, http, or both🔌 Transport Options
Desktop Usage: Stdio Transport (Claude Desktop)
The stdio transport is designed for local desktop usage with the Claude Desktop app. This is the recommended approach for individual developers.
Configuration for Claude Desktop:
{
"mcpServers": {
"cdata-sync-server": {
"command": "node",
"args": ["/absolute/path/to/cdata-sync-mcp-server/dist/index.js"],
"env": {
"MCP_TRANSPORT_MODE": "stdio",
"CDATA_AUTH_TOKEN": "your-token-here",
"CDATA_BASE_URL": "http://localhost:8181/api.rsc",
"CDATA_WORKSPACE": "your-workspace-uuid-here",
"DISABLE_SSE": "true"
}
}
}
}Start stdio-only server:
npm run start:stdioServer Usage: HTTP Transport (Remote Deployments)
The HTTP transport is designed for server deployments where the MCP server runs on a remote machine and accepts API requests. This is ideal for:
- Team deployments
- Docker/Kubernetes environments
- Integration with web applications
- Remote access scenarios
Start HTTP-only server:
npm run start:httpAvailable endpoints:
- `GET /mcp/v1/info` - Server and protocol information
- `GET /mcp/v1/health` - Health check
- `POST /mcp/v1/message` - Send MCP requests
- `GET /mcp/v1/stream` - Server-Sent Events for real-time updates
Example HTTP client usage:
// Connect to the server
const client = new MCPStreamableHttpClient('http://your-server:3000/mcp/v1');
await client.connect();
// List available tools
const tools = await client.listTools();
// Call a tool
const connections = await client.callTool('read_connections', {
action: 'list',
top: 5
});
// Set up real-time monitoring
client.onNotification = (method, params) => {
console.log('Notification:', method, params);
};Development: Dual Transport
For development and testing, you can run both transports simultaneously:
npm run start:bothThis is useful for testing both desktop and server scenarios during development.
🛠️ Available Tools
Connection Management
- `read_connections` - List, count, get details, or test connections
- `write_connections` - Create, update, or delete connections
- `get_connection_tables` - List tables in connection
- `get_table_columns` - Get table schema information
Job Management
- `read_jobs` - List, count, get details, status, history, or logs
- `write_jobs` - Create, update, or delete jobs
- `execute_job` - Run a sync job immediately
- `cancel_job` - Stop running job
- `execute_query` - Run custom SQL queries
Task Management
- `read_tasks` - List, count, or get task details
- `write_tasks` - Create, update, or delete tasks
Transformation Management
- `read_transformations` - List, count, or get transformation details
- `write_transformations` - Create, update, or delete transformations
User Management
- `read_users` - List, count, or get user details
- `write_users` - Create or update users
Request/Log Management
- `read_requests` - List, count, or get request log details
- `write_requests` - Delete request logs
History Management
- `read_history` - List or count execution history records
Certificate Management
- `read_certificates` - List certificates
- `write_certificates` - Create certificates
Configuration Management
- `configure_sync_server` - Get or update server configuration
📋 Tool Usage Patterns
Action-Based Operations
All read/write tools use an `action` parameter to specify the operation:
Example: Reading connections
{
"tool": "read_connections",
"arguments": {
"action": "list",
"filter": "contains(Name,'prod')",
"top": 10
}
}Example: Creating a connection
{
"tool": "write_connections",
"arguments": {
"action": "create",
"name": "MyDatabase",
"providerName": "System.Data.SqlClient",
"connectionString": "Server=localhost;Database=test;"
}
}Real-time Monitoring
The HTTP transport provides real-time notifications for:
- Tool execution start/completion
- Job execution progress
- Configuration changes
- Error notifications
// Monitor all server events
const eventSource = new EventSource('http://localhost:3000/mcp/v1/stream');
eventSource.onmessage = (event) => {
const message = JSON.parse(event.data);
if (message.method === 'notifications/job_executed') {
console.log('Job completed:', message.params);
}
};🔧 Development
Development Scripts
# Start in development mode with both transports
npm run dev:both
# Start with stdio only
npm run dev:stdio
# Start with HTTP only
npm run dev:http
# Type checking
npm run typecheck
# Linting
npm run lint
npm run lint:fix
# Testing
npm test
npm run test:watch
npm run test:coverageEnvironment Variables
| Variable | Description | Default |
|---|---|---|
| `CDATA_BASE_URL` | CData Sync API base URL | `http://localhost:8181/api.rsc` |
| `CDATA_AUTH_TOKEN` | API authentication token | - |
| `CDATA_USERNAME` | Basic auth username (alternative to token) | - |
| `CDATA_PASSWORD` | Basic auth password (alternative to token) | - |
| `CDATA_WORKSPACE` | Workspace UUID to scope all operations (optional) | - |
| `MCP_TRANSPORT_MODE` | Transport mode: `stdio`, `http`, or `both` | `stdio` |
| `MCP_HTTP_PORT` | HTTP transport port | `3000` |
| `MCP_HTTP_PATH` | HTTP transport base path | `/mcp/v1` |
| `NODE_ENV` | Node environment | `production` |
| `LOG_LEVEL` | Logging level | `info` |
🐳 Deployment
Docker
# Build image
docker build -t cdata-sync-mcp-server .
# Run with stdio transport
docker run -e CDATA_AUTH_TOKEN=your-token cdata-sync-mcp-server
# Run with HTTP transport
docker run -p 3000:3000 -e MCP_TRANSPORT_MODE=http -e CDATA_AUTH_TOKEN=your-token cdata-sync-mcp-serverDocker Compose
# Start with Docker Compose
docker-compose up -d cdata-sync-mcp-bothKubernetes
# Deploy to Kubernetes
kubectl apply -f k8s/Systemd Service
# Install as systemd service
sudo cp cdata-sync-mcp.service /etc/systemd/system/
sudo systemctl enable cdata-sync-mcp
sudo systemctl start cdata-sync-mcp📡 HTTP API Reference
Protocol Information
GET /mcp/v1/info
{
"protocol": "Model Context Protocol",
"version": "2025-03-26",
"transport": "streamable-http",
"endpoints": {
"message": "http://localhost:3000/mcp/v1/message",
"stream": "http://localhost:3000/mcp/v1/stream"
}
}Health Check
GET /mcp/v1/health
{
"status": "healthy",
"transport": "streamable-http",
"timestamp": "2024-01-15T10:30:00Z",
"pendingRequests": 0,
"bufferedMessages": 0
}Send MCP Request
POST /mcp/v1/message
{
"jsonrpc": "2.0",
"id": "1",
"method": "tools/call",
"params": {
"name": "read_connections",
"arguments": {
"action": "list",
"top": 5
}
}
}Real-time Events
GET /mcp/v1/stream
Server-Sent Events stream providing real-time notifications:
data: {"jsonrpc":"2.0","method":"notifications/tool_execution","params":{"tool":"read_connections","timestamp":"2024-01-15T10:30:00Z"}}
data: {"jsonrpc":"2.0","method":"notifications/job_executed","params":{"jobName":"TestJob","result":"success","timestamp":"2024-01-15T10:31:00Z"}}🧪 Testing
Running Tests
# Run all tests
npm test
# Run with coverage
npm run test:coverage
# Watch mode for development
npm run test:watchTest Structure
src/
├── __tests__/
│ ├── services/ # Service unit tests
│ ├── transport/ # Transport tests
│ ├── integration/ # Integration tests
│ └── utils/ # Utility tests🤝 Contributing
1. Fork the repository
2. Create your feature branch (`git checkout -b feature/amazing-feature`)
3. Commit your changes (`git commit -m 'Add some amazing feature'`)
4. Push to the branch (`git push origin feature/amazing-feature`)
5. Open a Pull Request
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
🆘 Support
- Documentation: Full API documentation available in the docs directory
- Issues: Report bugs and request features via GitHub Issues
- Discussions: Community support via CData Community
📚 Additional Resources
Built with ❤️ for the MCP ecosystem
Frequently asked questions
What is cdata-sync-mcp-server?
cdata-sync-mcp-server is MCP server for CData Sync - enables natural language and/or AI assistants to manage ETL jobs, data connections, and transformations via Model Context Protocol
How do I install cdata-sync-mcp-server?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is cdata-sync-mcp-server open source?
Yes — it is hosted on GitHub at https://github.com/CDataSoftware/cdata-sync-mcp-server and has 4 stars.
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