Skip to main content

MCP Adapter

This guide will help you integrate Covia with the Model Context Protocol (MCP) to enhance your AI applications with real-time data and context.

Overview​

The Model Context Protocol (MCP) is a standard for connecting AI models to external data sources and tools. Covia's integration with MCP allows you to:

  • Access real-time data from various sources
  • Provide contextual information to AI models
  • Enable dynamic data retrieval during conversations
  • Maintain secure and controlled data access

Prerequisites​

Before you begin, ensure you have:

  • Covia account and API credentials
  • MCP-compatible AI model or application
  • Basic understanding of API integration

Setup​

1. Install Covia MCP Server​

npm install @covia/mcp-server

2. Configure Your MCP Server​

Create a configuration file for your MCP server:

// mcp-config.js
module.exports = {
  covia: {
    apiKey: process.env.COVIA_API_KEY,
    baseUrl: 'https://api.covia.ai',
    timeout: 30000
  },
  resources: {
    // Define your data sources
    realTimeData: {
      type: 'stream',
      description: 'Real-time data stream from Covia'
    },
    historicalData: {
      type: 'file',
      description: 'Historical data access'
    }
  }
};

3. Initialize the Connection​

import { CoviaMCPServer } from '@covia/mcp-server';

const server = new CoviaMCPServer({
  config: require('./mcp-config.js')
});

await server.start();

Usage Examples​

Real-time Data Streaming​

// Example: Streaming real-time market data
const stream = await server.getResource('realTimeData');
stream.on('data', (data) => {
  console.log('Received real-time data:', data);
});

Context-Aware Queries​

// Example: Querying with context
const response = await server.query({
  prompt: "What's the current market sentiment?",
  context: {
    timeframe: "last 24 hours",
    sources: ["news", "social_media", "financial_data"]
  }
});

Best Practices​

  1. Error Handling: Always implement proper error handling for network issues and API limits
  2. Rate Limiting: Respect Covia's rate limits and implement appropriate backoff strategies
  3. Data Caching: Cache frequently accessed data to improve performance
  4. Security: Keep your API keys secure and use environment variables

Troubleshooting​

Common Issues​

  • Connection Timeout: Check your network connection and API endpoint
  • Authentication Errors: Verify your API key and permissions
  • Data Format Issues: Ensure your data conforms to expected schemas

Getting Help​

If you encounter issues:

  1. Check the Covia API documentation
  2. Review the MCP specification
  3. Contact Covia support for integration-specific issues