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
基本信息
Model Context Protocol (MCP)
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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.

Soar Flight Booking MCP is a remote MCP server available at https://mcp.soar.flights.

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
评论