What is Model Context Protocol (MCP)?
MCP is a protocol that establishes a communication channel between large language models and external tools or data sources. It follows a client‑server architecture and uses JSON‑RPC 2.0 for messaging.
@PouyaEsmaeili
基本情報
Model Context Protocol (MCP)
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Model Context Protocol (MCP) is a client-server protocol that enables communication between large language models (LLMs) and external tools or data sources. It uses JSON‑RPC 2.0 for messaging and was introduced by Anthropic.
Implement an MCP server using FastMCP or the Low‑Level APIs from the MCP Python SDK. Servers can be run over SSE (HTTP) or stdin. The README provides full Python examples for both server and client (SSE and stdio). For instance, a FastMCP server can be served with mcp.run(transport="sse") or wrapped with Starlette.
MCP is a protocol that establishes a communication channel between large language models and external tools or data sources. It follows a client‑server architecture and uses JSON‑RPC 2.0 for messaging.
An MCP server can provide three capabilities: **Tool** (a function that performs logic or side effects), **Resource** (any type of data, e.g. images, files), and **Prompt** (a prompt template for the client).
MCP supports two transport methods: **SSE over HTTP** (for network communication) and **stdin** (for local communication). The transport type is set when starting the server.
FastMCP is a high‑level Python API from the MCP Python SDK that simplifies server implementation. It provides decorators to define `@mcp.resource`, `@mcp.tool`, and `@mcp.prompt` easily.
Clients can be implemented using the MCP Python SDK with either `sse_client` (for SSE servers) or `stdio_client` (for stdio servers). Both examples are provided in the README, including session initialization, tool listing, and tool calling.
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