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Maximilian Schreiner@THE DECODER //

OpenAI Implements Model Context Protocol for Data Integration

OpenAI has announced it will adopt Anthropic's Model Context Protocol (MCP) across its product line. This surprising move involves integrating MCP support into the Agents SDK immediately, followed by the ChatGPT desktop app and Responses API. MCP is an open standard introduced last November by Anthropic, designed to enable developers to build secure, two-way connections between their data sources and AI-powered tools. This collaboration between rivals marks a significant shift in the AI landscape, as competitors typically develop proprietary systems.

MCP aims to standardize how AI assistants access, query, and interact with business tools and repositories in real-time, overcoming the limitation of AI being isolated from systems where work happens. It allows AI models like ChatGPT to connect directly to the systems where data lives, eliminating the need for custom integrations for each data source. Other companies, including Block, Apollo, Replit, Codeium, and Sourcegraph, have already added MCP support, and Anthropic's Chief Product Officer Mike Krieger welcomes OpenAI's adoption, highlighting MCP as a thriving open standard with growing integrations.

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References :
  • AI News | VentureBeat: The open source Model Context Protocol was just updated — here’s why it’s a big deal
  • Runtime: Why AI infrastructure companies are lining up behind Anthropic's MCP
  • THE DECODER: OpenAI adopts competitor Anthropic's standard for AI data access
  • Simon Willison's Weblog: OpenAI Agents SDK You can now connect your Model Context Protocol servers to Agents: We’re also working on MCP support for the OpenAI API and ChatGPT desktop app—we’ll share some more news in the coming months. — Tags: , , , , , ,
  • Analytics Vidhya: To improve AI interoperability, OpenAI has announced its support for Anthropic’s Model Context Protocol (MCP), an open-source standard designed to streamline the integration between AI assistants and various data systems.
  • THE DECODER: Anthropic and Databricks close 100 million dollar deal for AI agents
  • Analytics India Magazine: Databricks and Anthropic Partner to Bring AI Models to Businesses
  • www.itpro.com: Databricks and Anthropic are teaming up on agentic AI development – here’s what it means for customers
  • Runtime: Model Context Protocol (MCP) was introduced last November by Anthropic, which called it "an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools."
  • The Tech Basic: OpenAI has formed a partnership with its competitor, Anthropic, to implement the Model Context Protocol (MCP) tool.
  • www.techrepublic.com: OpenAI Agents Now Support Rival Anthropic’s Protocol, Making Data Access ‘Simpler, More Reliable’
  • Techzine Global: OpenAI is adding support for MCP, an open-source technology that uses large language models (LLMs) to perform tasks in external systems. OpenAI CEO Sam Altman announced the move this week, SiliconANGLE reports. This development is special, partly because MCP was developed by Anthropic PBC, the ChatGPT developer’s best-funded startup rival.
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Tom Krazit@Runtime //

Anthropic and Databricks Partner on Agentic AI

Anthropic is gaining traction in the AI infrastructure space with its Model Context Protocol (MCP), introduced last November as an open standard for secure, two-way connections between data sources and AI-powered tools. This protocol is designed to simplify the process of building AI agents by providing a standard way for applications to retrieve data, allowing agents to take actions based on that data. Microsoft and Cloudflare have already announced support for MCP, with Microsoft highlighting that MCP simplifies agent building and reduces maintenance time.

The MCP protocol works by taking natural language input from a large-language model and providing a standard way for MCP clients to find and retrieve data stored on servers running MCP. This is analogous to the API, which made web-based computing a standard. Previously, developers needed to set up MCP servers locally, which was impractical for most users. This barrier to entry has now been removed.

In other news, Anthropic is facing a legal challenge as music publishers' request for a preliminary injunction in their copyright infringement suit was denied. The publishers alleged that Anthropic's LLM Claude was trained on their song lyrics. However, the judge ruled that the publishers failed to demonstrate specific financial harm and that their list of forbidden lyrics was not final, requiring constant updates to Anthropic's guard rails. The case is ongoing, and the publishers can collect more evidence.

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References :
  • Runtime: Why AI infrastructure companies are lining up behind Anthropic's MCP
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