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Including server-managed content within model prompt messages via URIs.
Distinct from Model Context Protocol Servers: Distinct from general MCP Servers: focuses specifically on the mechanism of embedding resources into prompts.
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- modelcontextprotocol/modelcontextprotocol
modelcontextprotocol/modelcontextprotocol
8,458Auf GitHub ansehenModel Context Protocol is a standardized framework for connecting large language models to external data sources and executable tools. It enables the creation of a universal interface where servers expose tools, resources, and prompts that can be discovered and utilized by various AI clients. The protocol utilizes a JSON-RPC message system that is transport-agnostic, supporting both standard input/output for local processes and HTTP with server-sent events for remote connections. It emphasizes security and control by delegating model sampling to the client to keep API keys secure from servers
Includes server-managed documentation and code samples directly into prompt messages using standardized URIs.
TypeScript
