The Model Context Protocol (MCP) is emerging as a standard for AI agents to interact with external tools and resources, moving beyond earlier systems like ChatGPT plugins and basic function calling. MCP defines a client-to-server protocol where servers expose callable functions, resources, and prompts, allowing various clients like IDE agents or chat applications to discover and execute these tools. OpenAPI documents are being leveraged as a single source of truth for defining these MCP tools, ensuring consistency in parameters, authentication, and validation. Recent developments, particularly around OpenAI DevDay 2026, have introduced MCP Events, enabling servers to push real-time updates to ChatGPT via webhooks, thus eliminating the need for constant polling and improving efficiency. This event-driven approach is being integrated into ChatGPT's plans, requiring servers to implement specific event handling and security measures like HMAC signatures for webhook deliveries. AI
IMPACT Standardizes AI agent interaction with external tools, enabling more complex workflows and real-time data synchronization.
RANK_REASON Multiple technical articles detailing a protocol (MCP) and its new features (MCP Events) with associated specifications and implementation guides.
- Apidog
- ChatGPT
- ChatGPT plugins
- Claude
- Claude Code
- Cursor
- DevDay 2026
- Function-Calling
- MCP
- MCP Events
- OpenAI
- OpenAPI
- Standard Webhooks HMAC
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