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Model Context Protocol (MCP)

The Model Context Protocol (MCP) provides a standardized way to define, validate, and interact with AI model contexts across the Zopio codebase. It enables seamless communication between different parts of the application and AI models by providing a consistent interface for context management.

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Key Features

  • Standardized Resource Format: Consistent structure for all AI context resources
  • Schema Validation: Type-safe validation using Zod schemas
  • Server/Client Architecture: Flexible architecture for hosting and consuming resources
  • Built-in Resource Types: Pre-defined schemas for common resource types (packages, components, APIs, models)
  • Utility Functions: Helper functions for working with MCP resources

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Core Components

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Protocol

The core protocol implementation provides the foundation for resource validation and creation: 
import { validateResource, createResource } from '@repo/mcp';

// Create a new resource
const userResource = createResource({
  id: 'user-123',
  type: 'user',
  attributes: {
    name: 'John Doe',
    email: 'john@example.com'
  }
});

// Validate a resource against its schema
const isValid = validateResource(userResource, userSchema);

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Server

The MCP server hosts resources that can be consumed by clients: 
import { MCPServer } from '@repo/mcp';
import { z } from 'zod';

// Define resource schemas
const userSchema = z.object({
  id: z.string(),
  type: z.literal('user'),
  attributes: z.object({
    name: z.string(),
    email: z.string().email(),
    role: z.enum(['admin', 'user', 'guest'])
  }).optional()
});

// Create server configuration
const serverConfig = {
  name: 'UserService',
  description: 'Provides user context for AI models',
  resources: {
    user: MCPServer.createResourceDefinition(userSchema, {
      description: 'User resource',
      examples: [{
        id: 'user-123',
        type: 'user',
        attributes: {
          name: 'John Doe',
          email: 'john@example.com',
          role: 'admin'
        }
      }]
    })
  }
};

// Initialize server
const server = new MCPServer(serverConfig);

// Register resources
server.registerResource({
  id: 'user-123',
  type: 'user',
  attributes: {
    name: 'John Doe',
    email: 'john@example.com',
    role: 'admin'
  }
});

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Client

The MCP client consumes resources from servers: 
import { MCPClient } from '@repo/mcp';

// Initialize client
const client = new MCPClient({
  serverUrl: 'https://mcp-server.example.com'
});

// List available resources
const resources = await client.listResources();

// Read a specific resource
const user = await client.readResource('user', 'user-123');

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Resource Schemas

MCP provides pre-defined schemas for common resource types:

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Package Schema

import { packageSchema, createPackageResource } from '@repo/mcp';

const packageResource = createPackageResource({
  id: 'my-package',
  attributes: {
    name: '@repo/my-package',
    version: '1.0.0',
    description: 'My awesome package',
    dependencies: {
      'zod': '^3.25.0'
    }
  }
});

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Component Schema

import { componentSchema, createComponentResource } from '@repo/mcp';

const componentResource = createComponentResource({
  id: 'button',
  attributes: {
    name: 'Button',
    props: {
      variant: {
        type: 'string',
        enum: ['primary', 'secondary', 'outline'],
        default: 'primary'
      },
      size: {
        type: 'string',
        enum: ['sm', 'md', 'lg'],
        default: 'md'
      }
    }
  }
});

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API Schema

import { apiSchema, createApiResource } from '@repo/mcp';

const apiResource = createApiResource({
  id: 'get-users',
  attributes: {
    path: '/api/users',
    method: 'GET',
    parameters: {
      page: {
        type: 'number',
        default: 1,
        description: 'Page number'
      },
      limit: {
        type: 'number',
        default: 10,
        description: 'Number of items per page'
      }
    },
    responses: {
      '200': {
        description: 'List of users',
        content: {
          'application/json': {
            schema: {
              type: 'array',
              items: {
                type: 'object',
                properties: {
                  id: { type: 'string' },
                  name: { type: 'string' },
                  email: { type: 'string' }
                }
              }
            }
          }
        }
      }
    }
  }
});

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Model Schema

import { modelSchema, createModelResource } from '@repo/mcp';

const modelResource = createModelResource({
  id: 'user',
  attributes: {
    name: 'User',
    properties: {
      id: {
        type: 'string',
        description: 'Unique identifier'
      },
      name: {
        type: 'string',
        description: 'User name'
      },
      email: {
        type: 'string',
        format: 'email',
        description: 'User email address'
      },
      role: {
        type: 'string',
        enum: ['admin', 'user', 'guest'],
        default: 'user',
        description: 'User role'
      }
    },
    required: ['id', 'name', 'email']
  }
});

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Integration with AI Features

MCP can be integrated with AI features to provide context for AI models: 
import { MCPClient, createResource } from '@repo/mcp';
import { generateText } from '@repo/ai';

// Create a client to fetch context
const mcpClient = new MCPClient({
  serverUrl: '/api/mcp'
});

// Fetch user context for AI
const userContext = await mcpClient.readResource('user', userId);

// Use context in AI request
const aiResponse = await generateText({
  model: models.chat,
  prompt: 'Generate a personalized greeting',
  context: {
    user: userContext
  }
});

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Installation

# From the root of your Zopio project
pnpm add @repo/mcp

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Development Guidelines

  1. All resources must implement the Resource interface
  2. Use Zod schemas for validation
  3. Follow the resource-based architecture pattern
  4. Maintain backward compatibility when updating schemas