MCP Integration

Use the Model Context Protocol (MCP) to connect any data source or application to Link-Up's AI-powered GTM platform. Build once, integrate anywhere.

75%

Reduced Integration Time

Faster development compared to custom API integrations

500+

Universal Compatibility

Compatible data sources and applications

<100ms

Real-time Performance

Average data synchronization latency

1M+

Enterprise Scale

Records processed per hour per integration

Why Choose MCP?

The Model Context Protocol provides a standardized way to connect AI systems with data sources

Universal Protocol

Connect any data source or application using the standardized MCP protocol

Standardized communication interface
Cross-platform compatibility
Future-proof integrations
Reduced development overhead

Real-time Data Sync

Bidirectional data synchronization with real-time updates and conflict resolution

Live data streaming
Automatic conflict resolution
Batch and real-time operations
Event-driven architecture

Enterprise Security

End-to-end encryption and enterprise-grade security controls

OAuth 2.0 / OpenID Connect
End-to-end encryption
Role-based access control
Audit logging and compliance

Developer Friendly

Simple SDK integration with comprehensive documentation and examples

One-line SDK integration
Auto-generated client libraries
Interactive API explorer
Extensive code examples

Integration Steps

Get your MCP integration running in four simple steps

1

Install MCP SDK

Add the MCP client to your application

npm install @linkup/mcp-client
2

Configure Connection

Set up authentication and connection details

import { MCPClient } from '@linkup/mcp-client'

const client = new MCPClient({
  server: 'https://mcp.link-up.ai',
  apiKey: process.env.LINKUP_API_KEY,
  protocol: 'mcp-v1'
})
3

Define Data Schema

Specify the data structure for your integration

const schema = {
  resources: ['contacts', 'companies', 'deals'],
  operations: ['read', 'write', 'subscribe'],
  authentication: 'oauth2'
}
4

Start Integration

Begin syncing data with Link-Up

await client.connect()

// Subscribe to real-time updates
client.subscribe('contacts', (event) => {
  console.log('Contact updated:', event.data)
})

// Sync existing data
const contacts = await client.sync('contacts')

Common Use Cases

Real-world scenarios where MCP integration adds significant value

Custom CRM Integration

Connect your proprietary CRM system to Link-Up for unified customer data

Example: Sync customer records, deal stages, and interaction history
Medium2-3 days

Legacy System Modernization

Bridge legacy applications with modern GTM workflows

Example: Connect mainframe customer data to AI-powered outreach campaigns
High1-2 weeks

Real-time Analytics Pipeline

Stream business metrics and KPIs to Link-Up for strategy optimization

Example: Live conversion rates, customer acquisition costs, and revenue metrics
Low1-2 days

Multi-tenant SaaS Integration

Enable your SaaS customers to connect their own data sources

Example: White-label MCP integration for customer onboarding workflows
High2-4 weeks

Advanced Integration Example

Production-ready MCP integration with event streaming, error handling, and data transformation

Advanced MCP Integration
// Advanced MCP Integration with Event Streaming
import { MCPClient, EventStream } from '@linkup/mcp-client'

class CustomIntegration {
  constructor(apiKey) {
    this.client = new MCPClient({
      server: 'https://mcp.link-up.ai',
      apiKey,
      options: {
        retryAttempts: 3,
        batchSize: 100,
        compression: true
      }
    })
    
    this.eventStream = new EventStream()
  }

  async initialize() {
    await this.client.connect()
    
    // Set up bidirectional data sync
    this.client.onResourceChange('contacts', this.handleContactChange.bind(this))
    this.client.onResourceChange('companies', this.handleCompanyChange.bind(this))
    
    // Configure webhook endpoints
    await this.client.registerWebhook({
      url: 'https://your-app.com/webhooks/linkup',
      events: ['strategy.completed', 'workflow.triggered'],
      secret: process.env.WEBHOOK_SECRET
    })
  }

  async handleContactChange(event) {
    switch (event.action) {
      case 'created':
        await this.syncNewContact(event.data)
        break
      case 'updated':
        await this.updateContact(event.data)
        break
      case 'deleted':
        await this.archiveContact(event.data.id)
        break
    }
  }

  async syncNewContact(contact) {
    // Transform data to your internal format
    const internalContact = this.transformContact(contact)
    
    // Validate against your schema
    if (await this.validateContact(internalContact)) {
      await this.saveContact(internalContact)
      
      // Trigger downstream workflows
      this.eventStream.emit('contact.synced', {
        id: internalContact.id,
        source: 'linkup'
      })
    }
  }

  transformContact(linkupContact) {
    return {
      id: linkupContact.id,
      firstName: linkupContact.first_name,
      lastName: linkupContact.last_name,
      email: linkupContact.email,
      company: linkupContact.company?.name,
      // Custom field mapping
      customFields: {
        leadScore: linkupContact.metadata?.lead_score,
        lastEngagement: linkupContact.last_activity_date
      }
    }
  }
}

// Usage
const integration = new CustomIntegration(process.env.LINKUP_API_KEY)
await integration.initialize()

Ready to Connect Your Data?

Start building your MCP integration today with our comprehensive SDK and documentation