Entropic introduced a new protocol for connecting data to artificial intelligence

Entropic introduced a new protocol for connecting AI tools and chatbots to systems where data resides. Anthropic says the new standard, called Model Context Protocol, or MCP for short, can help AI models provide better and more relevant answers to user queries.

According to Entropic, the open source MCP protocol is a new standard for connecting artificial intelligence tools to systems such as content repositories, business tools and development environments. It also aims to help AI models produce better answers.

A new entropic protocol for improving artificial intelligence models

Now we see that artificial intelligence tools have become very advanced, but even the most complex models cannot maintain their functionality when separated from their data sources; On the other hand, each new data source needs a specific implementation. Of course, there are various frameworks like LangChain for database integration, but developers have to write new code every time they connect models to a new data source.

Now Alex Albert, director of Anthropic, says at X that the goal of MCP, which should be considered a “universal translator,” is to build a world where artificial intelligence connects to any data source. “Part of what makes MCP powerful is that it manages both local resources (your database, files, and services) and remote resources (APIs like Slack or GitHub) through one protocol,” says Alex Albert. Since MCP is an open source project, the company encourages users to contribute to the Etisalat repository and its implementation.

Earlier, OpenAI began testing a new “Work with Apps” feature that allows the Mac version of ChatGPT to connect directly to coding applications. Of course, the Entropic protocol aims to work with all AI systems and data sources.