MCP in Docker ka matlab hota hai Model Context Protocol (MCP) server ko Docker container ke andar run karna taaki wo portable, secure aur easily deployable ho.

Main simple language + practical example me samjha raha hoon 👇

MCP (Model Context Protocol) kya hota hai?

MCP ek standard protocol hai jiske through:

• AI models (jaise Claude / LLMs)

• External tools (DB, APIs, files, Git, etc.)

aapas me safely communicate karte hain.

👉 Docker me MCP ka use karke hum tool server bana dete hain jo AI ke saath connect hota hai.

MCP ko Docker me kyun use kare?

✔ Portable (har system pe same run)
✔ Secure (sandbox environment)
✔ Easy deployment (cloud / server)
✔ Dependency issues nahi hote

Architecture (Simple)

AI Client (Claude / LLM)
        |
        |  MCP Protocol
        |
Docker Container
   └── MCP Server
        └── Tools (DB, Files, APIs)


Example: MCP Server in Docker (Node.js)

1️⃣ Project Structure

mcp-docker/
├── Dockerfile
├── package.json
└── server.js


2️⃣ server.js (Basic MCP Server)

3️⃣ package.json

{
  "name": "mcp-docker",
  "type": "module",
  "dependencies": {
    "@modelcontextprotocol/sdk": "^1.0.0"
  }
}

4️⃣ Dockerfile

5️⃣ Docker Image Build

6️⃣ Docker Container Run

🎉 Ab MCP server Docker ke andar chal raha hai.

Claude / AI ke saath MCP connect kaise hota hai?

Claude Desktop config example:

{
  "mcpServers": {
    "docker-mcp": {
      "command": "docker",
      "args": ["run", "-i", "mcp-server"]
    }
  }
}

Real-World Use Cases

✅ File system access
✅ Database queries
✅ Git operations
✅ API calling
✅ DevOps automation

Short Summary

• MCP = AI + Tools bridge

• Docker = clean & secure runtime

• MCP in Docker = production-ready AI tooling