This week’s developments around the Model Context Protocol (MCP) point to a clear transition: agentic AI is moving from experimental setups into enterprise-ready infrastructure. Rather than new model announcements, the emphasis is now on identity, security, and managed deployment.
1. OpenAI’s Long-Term Bet on Interfaces and Scale
OpenAI’s $250M investment in Merge Labs highlights growing interest in brain–computer interfaces (BCI) as a future interaction layer for AI systems. In parallel, the global launch of ChatGPT Go (GPT-5.2) and a multi-year infrastructure deal with Cerebras signal continued focus on scaling both access and compute.
2. MCP Becomes a First-Class Cloud Primitive
Microsoft announced General Availability of MCP support in Azure Functions, bringing managed identity, built-in authorization, and streamable HTTP transport. This significantly lowers the operational cost of deploying MCP servers and reinforces MCP’s role as a standardized gateway between agents, tools, and enterprise systems.
3. Security and Governance Take Center Stage
Salesforce expanded Agentforce with MCP support and trusted gateways, while GitHub Security Lab open-sourced the Taskflow Agent. These moves underline a shared priority across vendors: controlled tool access, auditable execution, and secure agent workflows.
Read the Full Article
This post is a short overview. The full article includes deeper technical breakdowns, partnership analysis, and a forward-looking perspective on MCP adoption in 2026.
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