mcp
If you are the rightful owner of mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
Model Context Protocol (MCP) is a protocol designed to establish a communication channel between large language models (LLMs) and external tools or data sources.
Model Context Protocol (MCP) is a client-server architecture protocol that uses JSON-RPC 2.0 for messaging, enabling communication between large language models (LLMs) and external tools or data sources. Introduced by Anthropic, MCP has quickly gained traction in the AI community. It supports communication via Server-Sent Events (SSE) over HTTP or stdin, known as the Transport Layer in MCP specification. MCP servers provide capabilities such as tools, resources, and prompts to clients. FastMCP and Low-Level APIs are available for implementing MCP servers, with FastMCP offering a more streamlined approach. Clients can interact with MCP servers using either SSE or stdio clients, depending on the server's exposure. The protocol supports initialization, discovery, and invocation processes, ensuring a robust communication framework.
Features
- Client-Server Architecture: Utilizes JSON-RPC 2.0 for messaging between clients and servers.
- Transport Layer: Supports communication via SSE over HTTP or stdin.
- FastMCP: Provides a streamlined approach for implementing MCP servers.
- Tool, Resource, and Prompt Capabilities: Servers offer these capabilities to clients.
- Initialization, Discovery, and Invocation: Ensures robust communication processes.
