https://gofastmcp.com/getting-started/welcome https://modelcontextprotocol.io/docs/getting-started/intro
Overview
https://gofastmcp.com/getting-started/welcome https://modelcontextprotocol.io/docs/getting-started/intro Model Context Protocol (MCP) is a standardized protocol that allows AI models (like GPT, Claude, etc.) to connect with safely and in a structured way. It defines how models interact with servers that provide specific tools or information, enabling and . 1. sends a request or prompt. 2. forwards it to the . 3. The analyzes the request and selects the appropriate from the MCP Server. 4. The sends structured data (parameters) to the . 5. executes the corresponding function/tool and returns a result. 6. The processes the result and forms a natural language response back to the . User → MCP Client → Agent → Tool Selection → MCP Server (Tool Execution) → Response → Agent → User
README
🧠 Model Context Protocol (MCP)
https://gofastmcp.com/getting-started/welcome https://modelcontextprotocol.io/docs/getting-started/intro
📘 Overview
Model Context Protocol (MCP) is a standardized protocol that allows AI models (like GPT, Claude, etc.) to connect with external tools, APIs, or data sources safely and in a structured way.
It defines how models interact with servers that provide specific tools or information, enabling dynamic tool usage and real-time data access.
⚙️ Key Components
| Component | Description |
|---|---|
| MCP Server | Provides tools, APIs, or functions that can be called by a model. |
| MCP Client | Connects to an MCP server and invokes its tools. |
| Tools | The actual functions (like get_weather, add_numbers, etc.) exposed by the server. |
| Transport Layer | Defines how client and server communicate (e.g., stdio, sockets, or HTTP). |
| Agent (AI Model) | The AI model that selects and uses the right tools during inference. |
🚀 MCP Flow
- User sends a request or prompt.
- MCP Client forwards it to the Agent (Model).
- The Agent analyzes the request and selects the appropriate Tool from the MCP Server.
- The Client sends structured data (parameters) to the Server.
- Server executes the corresponding function/tool and returns a result.
- The Agent processes the result and forms a natural language response back to the User.
Flow Summary:
User → MCP Client → Agent → Tool Selection → MCP Server (Tool Execution) → Response → Agent → User
🧩 Installation
pip install fastmcp mcpInstall
This server does not publish a one-line install command.
Open the repository installation guide New to MCP? Start with the mcpskill.org guide →