The Model Context Protocol (MCP) is an open standard for connecting AI assistants to the systems where data lives, including content repositories, business tools, and development environments. Its aim is to help frontier models produce better, more relevant responses.

Mentions the Zed IDE

Claude kann auf andere Dienste zugreifen mit MCP

Sensible AI model connections to deterministic data

Claude может подключаться к сторонним сервисам через новый протокол Model Context Protocol (MCP), специально разработанный для ИИ-помощников. Например, опубликовать сгенерированный код на GitHub.

Today, we're open-sourcing the Model Context Protocol (MCP), a new standard for connecting AI assistants to the systems where data lives, including content repositories, business tools, and development environments. Its aim is to help frontier models produce better, more relevant responses.

As AI assistants gain mainstream adoption, the industry has invested heavily in model capabilities, achieving rapid advances in reasoning and quality. Yet even the most sophisticated models are constrained by their isolation from data—trapped behind information silos and legacy systems. Every new data source requires its own custom implementation, making truly connected systems difficult to scale.

MCP addresses this challenge. It provides a universal, open standard for connecting AI systems with data sources, replacing fragmented integrations with a single protocol. The result is a simpler, more reliable way to give AI systems access to the data they need.


Today, we're introducing three major components of the Model Context Protocol for developers:

The Model Context Protocol specification and SDKs
Local MCP server support in the Claude Desktop apps
An open-source repository of MCP servers

Claude 3.5 Sonnet is adept at quickly building MCP server implementations, making it easy for organizations and individuals to rapidly connect their most important datasets with a range of AI-powered tools. To help developers start exploring, we’re sharing pre-built MCP servers for popular enterprise systems like Google Drive, Slack, GitHub, Git, Postgres, and Puppeteer.

Where your data lives is critical to building AI applications, so this new protocol from Anthropic is a big deal allowing models to access data that is in other sources.

> The Model Context Protocol is an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools. The architecture is straightforward: developers can either expose their data through MCP servers or build AI applications (MCP clients) that connect to these servers.

More reading at [this quickstart](https://glama.ai/blog/2024-11-25-model-context-protocol-quickstart) and the [documentation](https://modelcontextprotocol.io/introduction).

https://news.ycombinator.com/item?id=42237424 ;;;
https://twitter.com/zeddotdev/status/1861106069293928926 Model Context Protocol (MCP) support in Zed ;;;

The Model Context Protocol (MCP) is an open standard for connecting AI assistants to the systems where data lives, including content repositories, business tools, and development environments. Its aim is to help frontier models produce better, more relevant responses.

Today, we're open-sourcing the Model Context Protocol (MCP), a new standard for connecting AI assistants to the systems where data lives, including content repositories, business tools, and development environments. Its aim is to help frontier models produce better, more relevant responses.