MCP & Intelligent APIs Unify Agents Amid Scaling Challenges
Key Questions
What is MCP and how is it being adopted in the agent ecosystem?
MCP is maturing as a standard for connecting agents to tools and data, with support added in OpenAI Agents SDK and VS Code 1.122. Conferences and labs from Netflix, Alibaba, and WSO2 are showcasing production-grade MCP servers and design patterns.
What new agent management features did Microsoft introduce at Build 2026?
Microsoft launched the Work IQ platform with A2A and MCP support, plus Toolbox, Tool Search, and Governance Dashboard in Foundry. Aspire was also released as an open-source toolchain for building distributed agent applications.
How are companies addressing observability challenges with agents?
Coralogix raised $200M to scale its AI-native observability platform amid concerns over invisible user intent and the XY problem. Practical sessions highlight the need for better monitoring of agent context and tool usage.
What tools help manage agent memory and context effectively?
Redis Iris is featured in masterclasses for handling agent memory, caching, and MCP workflows. MemPalace offers a local-first solution to prevent Claude from forgetting context during long MCP sessions.
How are APIs being prepared for agent consumption?
Netflix presented on making GraphQL more agent-friendly, while Jentic released an API AI Readiness Scoring CLI. Postman AI agents leverage Context Graphs to improve tool discovery and execution.
What infrastructure considerations are emerging for production agents?
Talks emphasize design patterns for MCP servers beyond basic implementations, drawing parallels to early REST API lessons. Microsoft Rayfin and Work IQ focus on enterprise data grounding at scale.
How does Aspire support distributed agent applications?
Aspire provides an open-source toolchain specifically for building and deploying distributed apps that agents can orchestrate. Sessions at Build 2026 demonstrated its use alongside Foundry governance features.
What role does context management play in scaling agent reliability?
Netflix and other sessions stress the importance of big graphs with tiny contexts for reliable agent behavior. Tools like MemPalace and Redis Iris directly address memory and context retention issues in long-running workflows.
MCP ecosystem matures: Netflix talk on making GraphQL agent-friendly, Microsoft Work IQ introduces A2A and MCP for enterprise data grounding, Alibaba Qwen Conference MCP-compatible Skills portal, WSO2Con labs on MCP server shipping. A new talk on MCP servers beyond 101 provides production-grade design patterns, drawing parallels to early REST API lessons. OpenAI Agents SDK adds MCP, long-running agents. VS Code 1.122 supports BYOK for air-gapped MCP. Postman AI agent uses Context Graph. Microsoft Rayfin backend platform. Microsoft Build 2026 introduces Toolbox, Tool Search, and Governance Dashboard for agent tool management, and Aspire open-source toolchain for distributed agent apps. A practical masterclass on Redis Iris for agent context (memory, caching, MCP) highlights infrastructure needs. Jentic API AI Readiness Scoring CLI. Observability challenges highlighted (XY problem, invisible user intent); Coralogix raises $200M for AI-native observability. MemPalace local-first memory tool for Claude Code and MCP workflows.