The Future of MCP: 6 Shifts for Production-Grade AI Agents
MaryamMiradi · x · 2026-09-26
The author outlines how MCP (Model Context Protocol) evolves beyond its first wave of simply connecting agents to tools, toward Anthropic's bigger vision: as agents move from coding into real knowledge work, they must connect across SaaS apps, company systems, shared drives, and long-running workflows.
Six shifts to watch:
- Progressive Discovery: stop loading every tool into the context window; let agents discover and load capabilities on demand, reducing context bloat and improving scalability.
- Programmatic Tool Calling: instead of using LLM inference to orchestrate each tool call, let the model write code that composes multiple tools, with structured outputs making calls easier to combine.
The thread is truncated but sketches MCP's path to production-scale agents.
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