Model Context Protocol (MCP)
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What is Model Context Protocol (MCP)?
Model Context Protocol (MCP) is an open, standardized protocol that lets AI applications connect to external data sources and tools in a uniform way. Instead of writing a custom integration every time a model needs to read a file, query a database, or call an API, developers expose that capability through an MCP server, and any MCP-compatible client (the AI application) can discover and use it the same way. MCP follows a client-server architecture: the host application runs a client that talks to one or more servers over a defined protocol, exchanging structured requests for tools, resources, or prompts. This decouples AI applications from the specific systems they connect to, similar to how the Language Server Protocol decoupled code editors from language-specific tooling.
Free resources to learn Model Context Protocol (MCP)
- CourseMCP: Build Rich-Context AI Apps with Anthropic
- Official docsModel Context Protocol
- Open sourceModel Context Protocol
- ArticleIntroducing the Azure MCP Server
- ArticleThe Ultimate Guide to MCP
More in stage 18: Model Context Protocol (MCP)
Model Context Protocol (MCP): common questions
Can I learn Model Context Protocol (MCP) in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Model Context Protocol (MCP) in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Model Context Protocol (MCP) tutorial for beginners?
It is lesson 44 of 101 in the free AI Agents roadmap, in stage 18, Model Context Protocol (MCP). If you are new to AI Agents, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.