Protocollo di contesto del modello
Il Model Context Protocol (MCP) è uno standard aperto che consente ai modelli di intelligenza artificiale di connettersi a fonti di dati e strumenti esterni tramite un'interfaccia unificata. Effettuiamo benchmark e confrontiamo diversi MCP per valutarne prestazioni, affidabilità e funzionalità.
Centralizzare l'accesso agli strumenti AI con il Gateway MCP
We’ll walk through the evolution of AI tool integration, explain what the Model Context Protocol (MCP) is, and show why MCP alone isn’t production-ready. Then we’ll explore real-world gateway implementations for connecting AI agents to external tools. OpenAI-compatible and lightweight MCP Gateways Designed to make MCP tools easily accessible to agents and AI clients.
App AI con MCP Benchmark & Tutorial sulla Memoria
We tested four Model Context Protocol (MCP) memory servers to measure which ones actually retain and retrieve context across AI agent sessions. Using LangChain’s ReAct Agent, we connected each server, ran standardized multi-session conversations, and scored them on memory operation accuracy.
Kod Yürütme MCP ile: Yapay Zeka Ajan Verimliliğine Yeni Bir Yaklaşım
Anthropic introduced a method in which AI agents interact with Model Context Protocol (MCP) servers by writing executable code rather than making direct calls to tools. The agent treats tools as files on a computer, finds what it needs, and uses them directly with code, so intermediate data doesn’t have to pass through the model’s memory.