Model Context Protocol (MCP)

Integration guide for Secryn with Model Context Protocol.

Overview

The Model Context Protocol (MCP) enables seamless integration between Secryn and AI models, allowing secure data access and operations through a standardized interface.

Getting Started with MCP

Prerequisites

• Secryn API access
• MCP client library
• API credentials configured

Installation

npm install @secryn/mcp

Basic Setup

import { MCPClient } from '@secryn/mcp'

const client = new MCPClient({
  apiKey: process.env.SECRYN_API_KEY,
  endpoint: 'https://api.secryn.com/v1'
})

await client.connect()

Available Tools

The Secryn MCP provides the following tools:

• Resource Management - Create, read, update, delete resources
• Authentication - Secure credential handling
• Data Access - Query and filter data safely
• Logging & Monitoring - Track operations and access
• Batch Operations - Process multiple requests efficiently

Security Considerations

• Always authenticate with valid credentials
• Use role-based access control (RBAC)
• Enable audit logging for sensitive operations
• Implement rate limiting for API calls
• Rotate API keys regularly

Examples

Reading Data

const resources = await client.query('resources', {
  filter: { status: 'active' },
  limit: 50
})

Creating Resources

const newResource = await client.create('resources', {
  name: 'My Resource',
  metadata: { type: 'example' }
})

Updating Resources

const updated = await client.update('resources/res_123', {
  name: 'Updated Resource Name'
})

Deleting Resources

await client.delete('resources/res_123')

Best Practices

• Cache responses when appropriate
• Handle errors gracefully with try-catch blocks
• Monitor rate limits and implement backoff strategies
• Use connection pooling for high throughput
• Log all operations for audit trails
• Validate all input data

Error Handling

try {
  const resource = await client.get('resources/res_123')
} catch (error) {
  if (error.code === 'NOT_FOUND') {
    console.log('Resource does not exist')
  } else if (error.code === 'UNAUTHORIZED') {
    console.log('Invalid API key')
  } else {
    console.log('Unexpected error:', error.message)
  }
}

Streaming Data

For large datasets, use streaming to handle data efficiently:

const stream = client.stream('resources', {
  filter: { created_after: '2024-01-01' }
})

for await (const batch of stream) {
  console.log(`Processing ${batch.length} items`)
}

Troubleshooting

Connection Issues

• Verify API credentials are correct
• Check network connectivity
• Ensure endpoint URL is accessible

Rate Limiting

• Review rate limiting policies
• Implement exponential backoff
• Contact support for higher limits

Data Access

• Verify permissions for the resource
• Check if resource exists
• Review audit logs

Advanced Configuration

const client = new MCPClient({
  apiKey: process.env.SECRYN_API_KEY,
  endpoint: 'https://api.secryn.com/v1',
  timeout: 30000,
  retries: 3,
  batchSize: 100,
  cacheEnabled: true,
  cacheTTL: 300000,
  debug: false
})

Additional Resources

• API Reference - Complete API documentation
• Installation Guide - Setup instructions
• Web Integration - Use in web applications
• FAQ - Frequently asked questions