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Inmersión Profunda en Integración MCP

Reading time: 25 minAvanzado

Build custom integrations with Model Context Protocol to extend Claude Code and connect it with your existing toolchain.

Understanding Model Context Protocol

Model Context Protocol (MCP) is the foundation of Claude Code's ability to understand and work with your codebase. By leveraging MCP, you can create powerful integrations that enhance Claude's capabilities.

What is MCP?

Model Context Protocol is a standardized way to provide context to language models about código, files, and proyecto structure. It enables Claude to:

  • Understand código relationships across multiple files
  • Track changes over time
  • Maintain awareness of proyecto structure
  • Interface with external tools and services

MCP Components

The protocol consists of several key components:

  • Context Managers - Handle gathering and processing of código context
  • Schema Definitions - Standardize how information is formatted
  • Connectors - Enable communication between different systems
  • Extensions - Add custom functionality to the protocol

Configurar Tu Entorno de Desarrollo

Before diving into MCP integration, you'll need to set up your desarrollo environment:

Prerequisites

  • Node.js 18+ and npm/yarn
  • Claude Code CLI installed and authenticated
  • Basic understanding of APIs and protocols
  • Familiarity with TypeScript (recommended)

Installing MCP Libraries

Instalar the required packages:

npm Instalar @anthropic/MCP-core @anthropic/MCP-connectors

This installs the core MCP library and the connectors module for building integrations.

Building Tu First Integration

Let's build a simple integration that connects Claude Code with an external API:

1. Create Tu Integration Proyecto

mkdir claude-integration-example
cd claude-integration-example
npm init -y
npm install typescript ts-node @types/node --save-dev
npx tsc --init

2. Define Tu Connector

guides.mcpIntegration.sections.buildingFirstIntegration.step2.description

import { MCPConnector, ConnectorConfig } from '@anthropic/mcp-connectors';

class MyApiConnector extends MCPConnector {
  constructor(config: ConnectorConfig) {
    super(config);
    // Initialize your connector
  }

  async fetchData(query: string): Promise<any> {
    // Implement your API fetching logic
    const response = await fetch('https://api.example.com/data?q=' + encodeURIComponent(query));
    return response.json();
  }

  async processContext(context: any): Promise<any> {
    // Process and transform the context
    return {
      ...context,
      enriched: true,
      timestamp: new Date().toISOString()
    };
  }
}

export default MyApiConnector;

3. Register Tu Connector

guides.mcpIntegration.sections.buildingFirstIntegration.step3.description

import { MCPRegistry } from '@anthropic/mcp-core';
import MyApiConnector from './connector';

// Register your connector
MCPRegistry.register('my-api-connector', {
  connector: MyApiConnector,
  config: {
    apiKey: process.env.API_KEY,
    baseUrl: 'https://api.example.com'
  }
});

// Start the MCP service
MCPRegistry.start();

4. Build and Run

npx tsc
node dist/index.js

This will compile your TypeScript and Iniciar your MCP integration service.

Avanzado Integration Techniques

Once you've built a basic integration, you can Explorar more Avanzado techniques:

Custom Context Processors

Create specialized processors for different types of context:

class CodebaseProcessor {
  processFile(file: string, content: string): any {
    // Process file content based on file type
    if (file.endsWith('.js')) {
      return this.processJavaScript(content);
    } else if (file.endsWith('.py')) {
      return this.processPython(content);
    }
    return content;
  }

  // Specialized processors
  processJavaScript(content: string): any {
    // JavaScript-specific processing
  }

  processPython(content: string): any {
    // Python-specific processing
  }
}

Bi-directional Integrations

Create integrations that both provide context to Claude and receive Comandos from Claude:

class BiDirectionalConnector extends MCPConnector {
  // ... initialization code ...

  // Receive commands from Claude
  async receiveCommand(command: string, params: any): Promise<any> {
    switch (command) {
      case 'fetch-dependencies':
        return this.fetchDependencies(params.project);
      case 'run-tests':
        return this.runTests(params.testPath);
      default:
        throw new Error(`Unknown command: ${command}`);
    }
  }

  // Command implementations
  async fetchDependencies(project: string): Promise<any> {
    // Implementation
  }

  async runTests(testPath: string): Promise<any> {
    // Implementation
  }
}

Real-world Integration Examples

Here are some practical examples of MCP integrations:

CI/CD Integration

Connect Claude Code to your CI/CD pipeline to automate código reviews, testing, and deployment.

  • Automate PR reviews
  • Generate test cases
  • Validate changes against style Guías
  • Create deployment Documentación

Documentación Generator

Build an integration that automatically generates and updates Documentación from código.

  • Generate API Documentación
  • Create user Guías
  • Document código architecture
  • Keep README files updated

Issue Tracker Integration

Connect Claude Code with issue tracking systems like JIRA or GitHub Issues.

  • Auto-generate issue descriptions
  • Link código changes to issues
  • Suggest fixes for reported bugs
  • Prioritize technical debt

Database Schema Manager

Create an integration that helps manage database schemas and migrations.

  • Generate migration scripts
  • Document schema changes
  • Analyze query performance
  • Suggest index optimizations

Next Steps

Continue your journey with MCP integrations by exploring these Recursos: