This is a new open protocol by Anthropic (2024) that lets AI models like Claude, GPT, etc., securely connect to apps, tools, databases, and APIs in a standardized way.

🎯 What is MCP?

MCP is like a universal translator between AI models and external tools.
Instead of writing custom code for every integration, MCP provides a standard protocol so that:

• Any AI model ↔️ can connect to any tool

• Developers build once → works everywhere

🧩 Key Components of MCP

1. 📦 Tools

   • External functions (like database queries, web search, file read/write).

   • Example: get_stock_price("AAPL")

2. 📚 Resources

   • Static or dynamic data that models can fetch.

   • Example: Docs, knowledge base, spreadsheets.

3. 🔐 Secure Access

   • AI doesn’t get unlimited access.

   • MCP enforces permissions, isolation, and transparency.

4. 🌉 Bridge

   • A “server” (MCP server) connects the AI model ↔ tool.

   • The model communicates over a structured JSON-RPC-like protocol.

🎨  Flow (Think Like a Comic Strip)

1. 🧠 AI Model (Claude, GPT, etc.)
   “I need today’s weather for Delhi.”

2. 🔗 MCP Bridge
   “Got it! Let me check the tool list…”

3. 🌦️ Tool (Weather API)
   Returns live data: 33°C, cloudy.

4. 🧠 AI Model
   “Answer to user: Today it’s 33°C and cloudy in Delhi ☁️”

🚀 Why MCP Matters?

• 🔄 Standardization → No need for custom integrations for each AI.

• ⚡ Speed → Models can use tools directly without retraining.

• 🛡️ Safety → Controlled, auditable tool use.

• 🌍 Ecosystem Growth → One MCP tool works with all supporting models.

🌟 Example Use Cases

• 🏦 Banking: AI queries transaction history securely.

• 📊 Data Science: AI fetches SQL data, runs analysis tools.

• 📅 Productivity: AI updates calendars, manages emails.

• 🌱 Sustainability: AI checks carbon footprint APIs.

👉 In short:
MCP = A universal connector that lets AI models safely interact with the outside world through tools and data.
Think of it like “USB for AI” — plug & play across any app or service.