MCP (Model Context Protocol)
An open standard for connecting LLMs to external tools and data sources.
What is MCP (Model Context Protocol)?
MCP, introduced by Anthropic in late 2024 and rapidly adopted across the industry, is a standardised protocol for connecting LLMs to tools — much like USB or HTTP did for hardware and the web.
Before MCP, every tool integration was bespoke. Each Gen AI app rewrote its own connectors for Google Drive, Notion, GitHub, databases. MCP standardises this: any MCP-compatible server (a tool provider) can be plugged into any MCP-compatible client (any LLM app) without custom code.
In 2026, MCP is rapidly becoming the default way to extend Claude, Cursor, and other agents. Indian engineering teams building internal AI tooling are increasingly using MCP servers as their integration layer.
MCP is the future of agent tooling. Knowing it positions you for the next wave of Gen AI engineering jobs.
A Bangalore product team built an MCP server that exposes their company's ticketing system to Claude. Now any engineer can ask Claude "what tickets did Priya close last week?" from any MCP-compatible client — Cursor, Claude Desktop, or their own internal agent.
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