The Future of MCP: 6 Shifts That Will Shape Production AI Agents
MaryamMiradi · x · 2026-10-30
Dr. Maryam Miradi outlines 6 key shifts for MCP in production AI agents, arguing Anthropic's vision goes well beyond the first wave of connecting agents to tools:
- Progressive discovery: load tools on demand instead of stuffing every tool into the context window.
- Programmatic tool calling: let the model write code that composes tools, moving deterministic orchestration from repeated LLM calls into code.
- Agent-native MCP servers: design capabilities around what agents need, not REST APIs with a wrapper.
- Rich MCP semantics: resources, tasks, elicitation and MCP applications—one server can serve both the agent and its human interface.
- Skills + MCP: Skills capture reusable domain knowledge while MCP provides connectivity, semantics, authorization and governance; Anthropic is working toward Skills over MCP.
- The connectivity stack: MCP won't replace everything—CLI for local/executable environments, computer use for systems without structured interfaces; production agents will combine all of them.
Bottom line: MCP is becoming the connective tissue between agents, applications, knowledge, interfaces and enterprise systems.
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