Jeff Bruchado
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MCP (Model Context Protocol): The Protocol Revolutionizing AI Integration

Hello HaWkers, if you work with AI or are following the market, you've probably heard about MCP (Model Context Protocol). This protocol launched by Anthropic is rapidly becoming the standard for connecting AI models to tools, data, and external services.

Let's understand what MCP is, how it works, and why it's changing how we develop with AI in 2026.

What Is MCP

The Problem MCP Solves

Before MCP, each AI integration with external tools was done in a custom way.

Scenario before MCP:

Claude API -----> Custom plugin -----> GitHub
Claude API -----> Another plugin -----> Slack
Claude API -----> Yet another plugin -----> Database
ChatGPT -----> Different plugin -----> GitHub
ChatGPT -----> Another plugin -----> Slack

Problems:

  1. Each AI needed its own integration
  2. Massive code duplication
  3. Inconsistent behaviors
  4. Difficult to maintain and update
  5. Fragmented security

The Solution: A Standard Protocol

MCP is an open protocol that standardizes how AIs connect to external resources.

Scenario with MCP:

Claude API ──┐
             │
ChatGPT ─────┼──── MCP Protocol ──── MCP Server ──── GitHub
             │                                  ├── Slack
Gemini ──────┤                                  ├── Database
             │                                  └── Any service
Other LLMs ──┘

MCP Architecture

Main Components

MCP is composed of three fundamental components.

1. MCP Host (Client):

Application that hosts the AI model
Examples: Claude Desktop, VS Code, IDEs

Responsibilities:
- Manage connections with MCP servers
- Send context requests
- Process responses

2. MCP Server:

Service that exposes resources to AI
Examples: GitHub MCP Server, Database MCP Server

Responsibilities:
- Expose tools
- Provide resources
- Process prompts

3. Communication Protocol:

JSON-RPC 2.0 over stdio or HTTP/SSE

Messages:
- initialize: Initial handshake
- tools/list: List available tools
- tools/call: Execute a tool
- resources/list: List resources
- resources/read: Read a resource

Communication Flow

┌─────────────┐          ┌─────────────┐          ┌─────────────┐
│  MCP Host   │          │ MCP Server  │          │   Service   │
│  (Claude)   │          │  (GitHub)   │          │   (API)     │
└──────┬──────┘          └──────┬──────┘          └──────┬──────┘
       │                        │                        │
       │  1. initialize         │                        │
       │───────────────────────>│                        │
       │                        │                        │
       │  2. tools/list         │                        │
       │───────────────────────>│                        │
       │                        │                        │
       │  3. Tools list         │                        │
       │<───────────────────────│                        │
       │                        │                        │
       │  4. tools/call         │                        │
       │───────────────────────>│                        │
       │                        │  5. API Request        │
       │                        │───────────────────────>│
       │                        │                        │
       │                        │  6. Response           │
       │                        │<───────────────────────│
       │  7. Tool result        │                        │
       │<───────────────────────│                        │
       └───────────────────────────────────────────────────

Creating Your First MCP Server

Basic Structure

Let's create a simple MCP Server that exposes system information.

Installation:

npm init -y
npm install @modelcontextprotocol/sdk

Basic server (server.ts):

import { Server } from '@modelcontextprotocol/sdk/server/index.js'
import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js'

const server = new Server(
  {
    name: 'system-info-server',
    version: '1.0.0',
  },
  {
    capabilities: {
      tools: {},
      resources: {},
    },
  }
)

// Define available tools
server.setRequestHandler('tools/list', async () => {
  return {
    tools: [
      {
        name: 'get_system_info',
        description: 'Returns operating system information',
        inputSchema: {
          type: 'object',
          properties: {},
        },
      },
      {
        name: 'get_current_time',
        description: 'Returns current date and time',
        inputSchema: {
          type: 'object',
          properties: {
            timezone: {
              type: 'string',
              description: 'Timezone (e.g., America/New_York)',
            },
          },
        },
      },
    ],
  }
})

// Implement tool execution
server.setRequestHandler('tools/call', async (request) => {
  const { name, arguments: args } = request.params

  if (name === 'get_system_info') {
    return {
      content: [
        {
          type: 'text',
          text: JSON.stringify({
            platform: process.platform,
            nodeVersion: process.version,
            memory: process.memoryUsage(),
          }),
        },
      ],
    }
  }

  if (name === 'get_current_time') {
    const timezone = args?.timezone || 'UTC'
    return {
      content: [
        {
          type: 'text',
          text: new Date().toLocaleString('en-US', { timeZone: timezone }),
        },
      ],
    }
  }

  throw new Error(`Unknown tool: ${name}`)
})

// Start server
const transport = new StdioServerTransport()
await server.connect(transport)

Popular MCP Servers

Official and Community Servers

The MCP community has grown rapidly in 2026.

Official Anthropic servers:

Server Function
filesystem File system access
git Git operations
github GitHub API integration
postgres PostgreSQL queries
sqlite SQLite queries

Popular community servers:

Server Function
mcp-server-slack Slack integration
mcp-server-notion Notion access
mcp-server-docker Docker management
mcp-server-kubernetes K8s operations
mcp-server-aws AWS services

Configuring in Claude Desktop

Configuration file (claude_desktop_config.json):

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/Users/your-user/projects"
      ]
    },
    "github": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-github"],
      "env": {
        "GITHUB_TOKEN": "your-token-here"
      }
    },
    "postgres": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-postgres",
        "postgresql://user:pass@localhost/db"
      ]
    }
  }
}

Advanced Use Cases

1. Development Assistant

// MCP Server that integrates with your dev environment
const devTools = {
  tools: [
    {
      name: 'run_tests',
      description: 'Runs project tests',
      inputSchema: {
        type: 'object',
        properties: {
          testPath: { type: 'string' },
          watch: { type: 'boolean' },
        },
      },
    },
    {
      name: 'lint_code',
      description: 'Runs linter on code',
    },
    {
      name: 'build_project',
      description: 'Builds the project',
    },
  ],
}

2. Database Integration

// MCP Server for secure queries
server.setRequestHandler('tools/call', async (request) => {
  if (request.params.name === 'query_database') {
    const { query } = request.params.arguments

    // Security validation
    if (query.toLowerCase().includes('drop') ||
        query.toLowerCase().includes('delete')) {
      throw new Error('Destructive operations not allowed')
    }

    const result = await db.query(query)
    return {
      content: [{ type: 'text', text: JSON.stringify(result) }],
    }
  }
})

3. Workflow Automation

// MCP Server for automation
const workflowTools = [
  {
    name: 'create_jira_ticket',
    description: 'Creates Jira ticket',
  },
  {
    name: 'send_slack_message',
    description: 'Sends Slack message',
  },
  {
    name: 'trigger_deployment',
    description: 'Starts deployment in specified environment',
  },
]

Security in MCP

Best Practices

1. Principle of least privilege:

// Limit access to specific directories
const allowedPaths = ['/home/user/projects', '/tmp']

function validatePath(path: string): boolean {
  return allowedPaths.some(allowed => path.startsWith(allowed))
}

2. Rate limiting:

import rateLimit from 'express-rate-limit'

const limiter = rateLimit({
  windowMs: 60 * 1000, // 1 minute
  max: 100, // 100 requests per minute
})

3. Action auditing:

server.setRequestHandler('tools/call', async (request) => {
  // Log all calls
  await auditLog.write({
    timestamp: new Date(),
    tool: request.params.name,
    arguments: request.params.arguments,
    user: request.context?.user,
  })

  // Execute tool...
})

The Future of MCP

2026-2027 Roadmap

Predictions for the ecosystem:

  • Q2 2026: More IDEs adopting MCP natively
  • Q3 2026: MCP Server marketplaces
  • Q4 2026: MCP 2.0 with advanced features
  • 2027: MCP as de facto standard for AI integration

Market Impact

For developers:

  1. New category of tools to create
  2. Monetization opportunity via marketplaces
  3. Valuable skill in the market

For companies:

  1. Simpler AI integration
  2. Granular access control
  3. Easier auditing and compliance

Conclusion

MCP represents a fundamental shift in how we integrate AIs with the real world. By standardizing communication between models and tools, the protocol eliminates fragmentation and opens doors to a much richer ecosystem.

Key points:

  1. MCP standardizes AI integration with tools
  2. Simple architecture: Host, Server, Protocol
  3. Easy to create your own MCP Servers
  4. Community growing rapidly
  5. Security must be a priority

Recommendations:

  • Try the official MCP Servers
  • Create a server for your needs
  • Contribute to the community
  • Follow protocol evolution

MCP is one of the most important technologies for developers working with AI in 2026.

To understand more about AI in development, read: AI Code Review: How AI Tools Are Revolutionizing Code Review.

Let's go! 🦅

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