Anthropic Now Connects Data to AI Chatbots Easily
Anthropic just open-sourced Model Context Protocol (MCP), its new standard for connecting AI assistants to data repositories. These content repositories include business tools and development environments. With this move, Anthropic aims to help frontier AI models create better and more relevant responses through data integration. Alex Albert, head of developer relations at Anthropic, announced the update on X, saying, “No more building custom integrations for every data source. MCP provides one protocol to connect them all.” Introducing the Model Context Protocol (MCP)An open standard we've been working on at Anthropic that solves a core challenge with LLM apps – connecting them to your data.No more building custom integrations for every data source. MCP provides one protocol to connect them all: pic.twitter.com/kYsivQyPDq— Alex Albert (@alexalbert__) November 25, 2024 How Does This Work? The MCP offers a universal framework for establishing secure connections between AI applications and data sources. Developers can expose their data through MCP servers or build AI applications (MCP clients) that connect to these servers. This simplifies the development process by replacing the need for custom integrations with a standard protocol. Block and Apollo have already integrated MCP into their systems. Development tool companies such as Zed, Replit, Codeium, and Sourcegraph are also working with MCP to enhance their platforms. According to Dhanji Prasanna, Block’s chief technology officer, open technologies like the MCP are the bridges connecting AI to real-world applications, ensuring innovation is accessible, transparent, and rooted in collaboration. Community Collaboration The MCP also offers various tools to simplify development, including a specification with software development kits (SDK), local server support in Claude desktop apps, and an open-source repository of MCP servers. As per the official blog, Claude 3.5 Sonnet also streamlines the creation of MCP server implementations, helping organisations quickly connect essential datasets to AI tools. Anthropic provides pre-built MCP servers for popular platforms, including Google Drive, Slack, GitHub, Git, and Puppeteer, giving developers a ready-to-use starting point. Simon Willison, founder of the Datasette open-source project, also announced this update on Bluesky, calling it “an attempt at a standard protocol for LLM tools”. Anthropic released an interesting thing today: an attempt at a standard protocol for LLM tools to talk to services that provide tools and extra context to be used other the models modelcontextprotocol.io[image or embed]— Simon Willison (@simonwillison.net) November 25, 2024 at 10:07 PM These resources aim to make integrating data with AI systems more accessible and efficient, supporting a wide range of use cases. Anthropic claims MCP is a collaborative and open-source project. Developers are invited to build and test MCP connectors, with resources such as pre-built MCP servers and quickstart guides available. The company claims that it fosters an ecosystem where AI systems can maintain context across various tools and datasets, promoting a more sustainable architecture.
“Anthropic solves a core challenge with LLM apps – connecting them to your data,” says Alex Albert, head of developer relations at Anthropic.
“Anthropic solves a core challenge with LLM apps – connecting them to your data,” says Alex Albert, head of developer relations at Anthropic.
["Anthropic"]
["Anthropic", "Go", "AI assistants", "AI", "ML", "Git", "Aim", "GitHub", "Claude 3.5", "R"]
["AI", "ML", "Claude 3.5", "Anthropic", "Aim", "AI assistants", "R", "Go", "Git", "GitHub"]
An information designer who loves to learn about and try new developments in the field of tech and AI. She likes to spend her spare time reading and exploring absurdism in literature.