What is MCP?
MCP (Model Context Protocol) is an open standard that allows AI models to interact with external tools and data sources. Think of it as a USB-C for AI — a universal protocol that connects AI clients with the tools they need.
How MCP Works
MCP uses a client-server architecture:
- MCP Client — The AI application (Claude Desktop, Cursor, etc.)
- MCP Server — Exposes tools and resources that the client can call
- JSON-RPC 2.0 — The protocol used for communication
When an AI model needs to perform an action (like fetching data or calling an API), it sends a JSON-RPC request to the MCP server. The server executes the action and returns the result.
Key Concepts
Tools
Tools are functions that an AI model can call. Each tool has:
- A name — unique identifier
- A description — explains what the tool does
- An inputSchema — JSON Schema defining the parameters
- An endpoint — the actual API endpoint to call
Resources
Resources expose data that the AI can read. Unlike tools (which perform actions), resources provide context.
Transport
MCP supports multiple transport mechanisms:
- HTTP/HTTPS — Standard RESTful transport
- SSE (Server-Sent Events) — For streaming responses
- Stdio — For local processes
Why MCP Matters
MCP solves the fragmentation problem in AI tooling. Before MCP, every AI platform had its own way of connecting to external tools. MCP creates a unified standard, making tools portable across platforms.
Getting Started with FuzeMCP
FuzeMCP handles all the MCP protocol complexity for you. Create an account, define your API endpoints, and get a fully compliant MCP server — no protocol knowledge required.