OpenAI is currently testing support for the Model Context Protocol (MCP) in ChatGPT, which would allow the AI to interact with third-party services and internal enterprise tools. This marks a significant step toward making AI more interoperable across platforms and systems.
What Is Model Context Protocol (MCP)?
The Model Context Protocol is an open standard that allows third-party tools and services to expose relevant data to language models. These models, like ChatGPT, can then use that data to complete user tasks. For example, a personal calendar, email account, or company database could be securely linked, enabling the AI to retrieve and process contextual information during conversations.
While this may seem like a niche feature for everyday users, MCP has clear enterprise applications. Internal platforms, CRMs, document systems, or proprietary tools could be selectively connected to ChatGPT to enhance productivity and task automation.
Enterprise Use Cases and Security Controls
With MCP, companies would be able to create custom integrations that limit the scope of data shared with ChatGPT. Instead of uploading data directly or building complex plug-ins, businesses could define what data is available to the model at runtime, improving both efficiency and security.
This approach would allow AI to work alongside internal business logic without compromising sensitive information. Enterprises could manage access and ensure compliance while still benefiting from AI-enhanced workflows.
Testing Underway, Announcement Expected
OpenAI has not officially announced MCP integration yet, but internal testing is underway. Interface screenshots have surfaced showing ChatGPT connected to a Google Calendar, where it dynamically pulls relevant data based on the conversation context.
An official reveal is expected soon, potentially including developer tools or documentation to allow wider experimentation with the protocol.
