CX TimeFilter MCP Server
Provides time filter tools for CX Dashboard integration, allowing users to set predefined time periods, custom date ranges, and manage time-based filtering across dashboard tabs. Supports HTTP-based MCP protocol with optional authentication for seamless integration with MCP-compatible clients like Langflow.
README
CX TimeFilter MCP Server
A Model Context Protocol (MCP) server providing time filter tools for CX Dashboard. This server exposes time filtering functionality that can be used by any MCP-compatible client, including Langflow.
🎯 Features
- Set Predefined Time Periods: Last Month, Last 7 days, This Quarter, etc.
- Set Custom Date Ranges: Specify exact start and end dates
- List Available Periods: Get all supported time periods
- HTTP-based MCP Protocol: Easy integration with any MCP client
- Optional Authentication: API key protection
- Comprehensive Validation: Input validation and error handling
🚀 Quick Start
1. Installation
# Clone or create the project directory
mkdir cx-timefilter-mcp-server
cd cx-timefilter-mcp-server
# Install dependencies
npm install
2. Configuration
# Copy environment template
cp env.example .env
# Edit .env file
PORT=3000
NODE_ENV=development
MCP_API_KEY=your-secret-api-key-here
ALLOWED_ORIGINS=http://localhost:3001,https://your-langflow-instance.com
3. Run the Server
# Development mode
npm run dev
# Production mode
npm start
# Run tests
npm test
4. Verify Installation
# Health check
curl http://localhost:3000/health
# List available tools
curl http://localhost:3000/mcp/tools
# Test a tool (with API key if configured)
curl -X POST http://localhost:3000/mcp/tools/call \
-H "Content-Type: application/json" \
-H "Authorization: Bearer your-api-key" \
-d '{
"name": "set_time_period",
"arguments": {
"timePeriodName": "Last Month",
"tabName": "Overview"
}
}'
🛠️ Available Tools
1. set_time_period
Set a predefined time period for dashboard tabs.
Parameters:
timePeriodName(string): Exact name of the time periodtabName(string): Dashboard tab name
Example:
{
"name": "set_time_period",
"arguments": {
"timePeriodName": "Last Month",
"tabName": "Overview"
}
}
2. set_custom_date_range
Set a custom date range with specific start and end dates.
Parameters:
startDate(string): Start date in YYYY-MM-DD formatendDate(string): End date in YYYY-MM-DD formattabName(string): Dashboard tab name
Example:
{
"name": "set_custom_date_range",
"arguments": {
"startDate": "2024-01-01",
"endDate": "2024-01-31",
"tabName": "Comparison"
}
}
3. list_time_periods
List all available predefined time periods.
Parameters: None
Example:
{
"name": "list_time_periods",
"arguments": {}
}
🔗 API Endpoints
| Endpoint | Method | Description |
|---|---|---|
/health |
GET | Health check |
/mcp/info |
GET | MCP protocol information |
/mcp/tools |
GET | List available tools |
/mcp/tools/call |
POST | Execute a tool |
/mcp |
POST | Full MCP protocol endpoint |
🔐 Authentication
The server supports optional API key authentication:
- Set API Key: Add
MCP_API_KEY=your-secret-keyto.env - Include in Requests: Add
Authorization: Bearer your-secret-keyheader - Alternative Formats:
ApiKey your-secret-keyorKey your-secret-key
🌐 Langflow Integration
Step 1: Add MCP Tools Component
- Open your Langflow project
- Add an "MCP Tools" component
- Configure the connection
Step 2: Configure Connection
{
"serverName": "CX TimeFilter Server",
"connectionMode": "HTTP",
"serverUrl": "http://localhost:3000",
"apiKey": "your-api-key",
"endpoints": {
"tools": "/mcp/tools",
"call": "/mcp/tools/call"
}
}
Step 3: Use Tools in Flows
The tools will appear in Langflow and can be used in your AI workflows.
📦 Deployment
Railway (Recommended)
# Install Railway CLI
npm install -g @railway/cli
# Login and deploy
railway login
railway init
railway up
Render
- Connect your GitHub repository
- Set environment variables
- Deploy automatically
Docker
FROM node:18-alpine
WORKDIR /app
COPY package*.json ./
RUN npm install
COPY . .
EXPOSE 3000
CMD ["npm", "start"]
🧪 Testing
# Run built-in tests
npm test
# Manual testing with curl
curl -X POST http://localhost:3000/mcp/tools/call \
-H "Content-Type: application/json" \
-d '{
"name": "list_time_periods",
"arguments": {}
}'
📊 Supported Time Periods
Calendar Periods:
- All Time, Today, Yesterday
- This Week, Last Week
- This Month, Last Month
- This Quarter, Last Quarter
- This Year, Last Year
Rolling Periods:
- Last 24 hours, Last 7 days, Last 14 days
- Last 30 days, Last 90 days, Last 180 days
- Last 12 Months
Custom Periods:
- Any date range in YYYY-MM-DD format
🔧 Development
Project Structure
cx-timefilter-mcp-server/
├── src/
│ ├── server.js # Main server
│ ├── tools/
│ │ └── timefilter.js # Time filter tools
│ ├── utils/
│ │ └── mcp-protocol.js # MCP utilities
│ ├── middleware/
│ │ └── auth.js # Authentication
│ └── test.js # Test suite
├── package.json
├── .env
└── README.md
Adding New Tools
- Create tool definition in
src/tools/ - Add validation schema
- Implement execute function
- Export in tools array
- Update README
🐛 Troubleshooting
Common Issues:
- Port already in use: Change
PORTin.env - CORS errors: Update
ALLOWED_ORIGINSin.env - Auth failures: Check
MCP_API_KEYconfiguration - Tool not found: Verify tool name matches exactly
Debug Mode:
NODE_ENV=development npm start
📄 License
MIT License - see LICENSE file for details.
🤝 Contributing
- Fork the repository
- Create a feature branch
- Make your changes
- Add tests
- Submit a pull request
Ready to integrate with Langflow and start filtering time periods via MCP! 🎉
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