Inmersión Profunda en Integración MCP
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:
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:
- Visit the official MCP Documentación
- Explorar enterprise deployment strategies for your integrations
- Learn about flujo de trabajo automation with Claude Code