What is MCP? Model Context Protocol Explained
Model Context Protocol (MCP) is an open-source standard that enables AI applications and clients to securely connect with local filesystems, databases, software APIs, and developer tools through a unified protocol.
The Problem MCP Solves
Before MCP, connecting an AI model (like Claude, GPT-4, or a local LLM) to external data sources required custom, fragile point-to-point integration code for every single tool and database. MCP introduces a universal client-server architecture—similar to how USB-C standardizes physical hardware connections.
Core Architecture of MCP
- check_circle MCP Client: The AI application or IDE (such as Claude Desktop or Cursor) that requests context or requests tool execution.
- check_circle MCP Host: The runtime environment orchestrating connections and permissions between clients and servers.
- check_circle MCP Server: Light services exposing specific capabilities (e.g., PostgreSQL query server, Git repository server, File system server).
Three Primitives of Model Context Protocol
| Primitive | Direction | Description |
|---|---|---|
| Prompts | Server -> Client | Pre-configured reusable prompt templates and instructions. |
| Resources | Server -> Client | Read-only data context (files, logs, database schemas). |
| Tools | Client -> Server | Executable functions (run SQL query, post API message, git commit). |
help Frequently Asked Questions
Q: Who created Model Context Protocol?
A: MCP was open-sourced by Anthropic in November 2024 to create a universal, vendor-neutral standard for AI tool integration.
Q: Is MCP limited to Claude?
A: No, MCP is completely open-source and model-agnostic. It works with OpenAI models, Gemini, local LLMs, and custom AI agents.
Explore Related AI Topics
Ready to Deploy Custom AI Solutions?
Partner with Spryzen AI Lab engineers to build autonomous agents, RAG architectures, and custom LLM integrations.