Model Context Protocol
Integrate AI models seamlessly with your automations using the Model Context Protocol (MCP). Share context, use tools, and build intelligent workflows.
MCP Features in Sematryx
Standardized Communication
Use the industry-standard MCP protocol for seamless AI model integration
Context Preservation
Maintain conversation context across automation steps and model interactions
Tool Integration
Access web search, code execution, and data analysis tools through MCP
Multi-Model Support
Connect with Claude, GPT, and other AI models using the same protocol
Real-time Streaming
Stream responses and maintain persistent connections with AI models
Secure Context Sharing
Share context and data securely with encryption and access controls
Getting Started with MCP
1. Initialize MCP Connection
Connect Sematryx to the Model Context Protocol to enable AI model integration:
import { MCPClient } from '@sematryx/mcp-client'
import { Sematryx } from '@sematryx/javascript-sdk'
// Initialize Sematryx with MCP support
const sematryx = new Sematryx('your-api-key', {
mcp: {
enabled: true,
version: '2024-11-05'
}
})
// Connect to MCP server
const mcpClient = new MCPClient({
serverUrl: 'https://api.sematryx.com/mcp',
transport: 'stdio'
})
await mcpClient.connect()2. Create AI-Enhanced Automations
Build automations that leverage AI models with shared context:
// Share context between Sematryx and AI models
const automation = await aeao.automations.create({
name: 'ai-enhanced-processor',
trigger: {
type: 'webhook'
},
actions: [
{
type: 'mcp_process',
config: {
model: 'claude-3-sonnet',
context: {
include_history: true,
max_tokens: 4000,
tools: ['web_search', 'code_interpreter']
},
prompt: 'Process the incoming data and provide insights'
}
}
]
})3. Available MCP Tools
Access powerful tools through the MCP interface:
// MCP Tools available in Sematryx
const mcpTools = [
{
name: 'web_search',
description: 'Search the web for real-time information',
parameters: {
query: 'string',
max_results: 'number'
}
},
{
name: 'code_interpreter',
description: 'Execute and analyze code in multiple languages',
parameters: {
code: 'string',
language: 'python|javascript|sql'
}
},
{
name: 'data_analyzer',
description: 'Analyze structured data and generate insights',
parameters: {
data: 'object',
analysis_type: 'statistical|predictive|descriptive'
}
}
]Real-World Use Cases
Intelligent Data Processing
Use AI models to analyze, transform, and enrich your automation data with natural language understanding.
Process customer feedback → AI analysis → Automated response generation
Dynamic Workflow Adaptation
Let AI models modify automation workflows based on real-time conditions and historical patterns.
Market data → AI strategy adjustment → Automated trading decisions
Code Generation & Review
Generate, review, and optimize automation scripts using AI-powered code analysis.
Requirements → AI code generation → Automated testing & deployment
Advanced Content Creation
Create sophisticated content that adapts to context, audience, and business objectives.
User data → AI content personalization → Multi-channel distribution
MCP Protocol Details
Supported Transports
- • STDIO: Standard input/output communication
- • HTTP/SSE: Server-sent events for real-time updates
- • WebSocket: Bidirectional persistent connections
- • Custom: Plugin support for custom transports
Security Features
- • TLS Encryption: All communications encrypted
- • API Key Auth: Secure authentication mechanism
- • Rate Limiting: Prevents abuse and ensures stability
- • Context Isolation: Secure context boundaries
MCP Version Support
Sematryx supports MCP version 2024-11-05 and maintains backward compatibility with earlier versions.