AI safety and research firm Anthropic announced the open-sourcing of the Model Context Protocol (MCP), a new standard designed to connect AI assistants to the systems where data is stored, aiming to improve the relevance and quality of responses generated by advanced models.
MCP offers a universal, open standard for linking AI systems to data sources, simplifying what was previously a fragmented system of integrations. This unified protocol provides a more reliable and streamlined method for granting AI systems access to essential data.
The open standard allows developers to establish secure, two-way connections between their data sources and AI-powered applications. The architecture is straightforward: developers can either expose their data via MCP servers or create AI applications (MCP clients) that connect to these servers. In conjunction with the release, Anthropic has introduced the Model Context Protocol specification, software development kits (SDKs), support for Local MCP servers in Claude Desktop applications, and an open-source repository of MCP servers.
Claude 3.5 Sonnet excels at quickly building MCP server implementations, enabling both organizations and individuals to connect their key datasets to various AI tools. To assist developers in getting started, Anthropic is providing pre-built MCP servers for popular enterprise systems such as Google Drive, Slack, GitHub, Git, Postgres, and Puppeteer.
With MCP, developers no longer need to maintain individual connectors for each data source. As the ecosystem evolves, AI systems will be able to retain context across different tools and datasets, moving toward a more sustainable architecture that replaces the current fragmented approach.
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 To Get Started With MCP?
Developers can now begin building and testing MCP connectors. Current Claude for Work users have the ability to test MCP servers locally, enabling Claude to connect to internal systems and datasets. In the near future, Anthropic will release developer toolkits to support the deployment of remote production MCP servers designed to serve the broader Claude for Work organization.
In order to get started, users are encouraged to install pre-built MCP servers through the Claude Desktop application, follow the quickstart guide to set up their first MCP server, and contribute to the open-source repositories containing connectors and implementations.
Anthropic, an AI startup founded by former members of OpenAI, focuses on developing general AI systems and large language models (LLMs). With considerable investment backing over the past year, the company has been able to fund the development and launch of its AI products. Recently, Anthropic introduced its upgraded Claude 3.5 Sonnet, launched a new model named Claude 3.5 Haiku and rolled out a new beta feature for computer usage.
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