In the last week, more vendors have announced hosted Model Context Protocol (MCP) servers, turning ‘agent integrations’ into a product category. Here’s what MCP changes architecturally, and how to evaluate security, governance, and ROI.
MCP Apps are now an official MCP extension, letting tools return interactive UI components (dashboards, forms, monitors) that render inside AI clients. Here’s what changes for builders—and what to watch in security and governance.
A practical, ops-minded blueprint for running agentic workflows locally: LangGraph for durable state, MCP for standardized tool boundaries, and Ollama for local inference—plus the guardrails that keep it from becoming an unmaintainable demo.
The Model Context Protocol (MCP) is evolving from ‘connectors for tools’ into a UI-capable platform layer. MCP Apps introduce interactive components inside agent chats—and transport work like gRPC hints at where performance and interoperability are headed.
Model Context Protocol (MCP) signals a shift from one-off chatbots to governed agent platforms—where tool access, permissions, and audit are the product.
