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OpenAI is embracing Anthropic’s Model Context Protocol (MCP), an open-source standard that improves AI model responses by allowing them to access external data sources. This integration aims to make AI assistants more useful by connecting them to business tools, software, and other content repositories.
MCP Integration Across OpenAI Products
OpenAI CEO Sam Altman announced on X that MCP support is now available in OpenAI’s Agents SDK, with upcoming integrations for the ChatGPT desktop app and Responses API. By adopting MCP, OpenAI enables its AI models to deliver more relevant, data-driven responses based on real-time information.
How MCP Enhances AI Functionality
MCP allows developers to establish two-way connections between AI applications and external data sources. Businesses and developers can,
- Build MCP servers to expose data.
- Develop MCP clients (apps and workflows) that retrieve and process data on demand.
- Use AI-powered assistants that interact with existing software, making them more efficient and responsive.
Since Anthropic open-sourced MCP, major companies like Block, Apollo, Replit, Codeium, and Sourcegraph have integrated the protocol into their platforms.
Industry Response and Future Plans
Anthropic’s chief product officer, Mike Krieger, welcomed OpenAI’s adoption of MCP, highlighting its rapid growth and thousands of integrations. He emphasized that large language models (LLMs) become more powerful when connected to real-world data and software.
OpenAI has confirmed that more MCP-related updates will be shared in the coming months, signaling an effort to enhance AI connectivity, expand integrations, and improve user experience.