Skip to main content
Glama
shashi29vs

CX TimeFilter MCP Server

by shashi29vs

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.

๐ŸŽฏ 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

๐Ÿš€ 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"
    }
  }'

๐Ÿ› ๏ธ Available Tools

1. set_time_period

Set a predefined time period for dashboard tabs.

Parameters:

  • timePeriodName (string): Exact name of the time period

  • tabName (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 format

  • endDate (string): End date in YYYY-MM-DD format

  • tabName (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": {}
}

๐Ÿ”— 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

๐Ÿ” Authentication

The server supports optional API key authentication:

  1. Set API Key: Add MCP_API_KEY=your-secret-key to .env

  2. Include in Requests: Add Authorization: Bearer your-secret-key header

  3. Alternative Formats: ApiKey your-secret-key or Key your-secret-key

๐ŸŒ Langflow Integration

Step 1: Add MCP Tools Component

  1. Open your Langflow project

  2. Add an "MCP Tools" component

  3. 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.

๐Ÿ“ฆ Deployment

# Install Railway CLI
npm install -g @railway/cli

# Login and deploy
railway login
railway init
railway up

Render

  1. Connect your GitHub repository

  2. Set environment variables

  3. Deploy automatically

Docker

FROM node:18-alpine
WORKDIR /app
COPY package*.json ./
RUN npm install
COPY . .
EXPOSE 3000
CMD ["npm", "start"]

๐Ÿงช 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": {}
  }'

๐Ÿ“Š 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

๐Ÿ”ง Development

Project Structure

cx-timefilter-mcp-server/
โ”œโ”€โ”€ src/
โ”‚   โ”œโ”€โ”€ server.js              # Main server
โ”‚   โ”œโ”€โ”€ tools/
โ”‚   โ”‚   โ””โ”€โ”€ timefilter.js      # Time filter tools
โ”‚   โ”œโ”€โ”€ utils/
โ”‚   โ”‚   โ””โ”€โ”€ mcp-protocol.js    # MCP utilities
โ”‚   โ”œโ”€โ”€ middleware/
โ”‚   โ”‚   โ””โ”€โ”€ auth.js            # Authentication
โ”‚   โ””โ”€โ”€ test.js                # Test suite
โ”œโ”€โ”€ package.json
โ”œโ”€โ”€ .env
โ””โ”€โ”€ README.md

Adding New Tools

  1. Create tool definition in src/tools/

  2. Add validation schema

  3. Implement execute function

  4. Export in tools array

  5. Update README

๐Ÿ› Troubleshooting

Common Issues:

  1. Port already in use: Change PORT in .env

  2. CORS errors: Update ALLOWED_ORIGINS in .env

  3. Auth failures: Check MCP_API_KEY configuration

  4. Tool not found: Verify tool name matches exactly

Debug Mode:

NODE_ENV=development npm start

๐Ÿ“„ License

MIT License - see LICENSE file for details.

๐Ÿค Contributing

  1. Fork the repository

  2. Create a feature branch

  3. Make your changes

  4. Add tests

  5. Submit a pull request


Ready to integrate with Langflow and start filtering time periods via MCP! ๐ŸŽ‰

-
security - not tested
F
license - not found
-
quality - not tested

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/shashi29vs/MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server