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The rebuilt scoring model replaces a system that compressed 85.7% of tools into a single grade, giving the ecosystem its first meaningful quality differentiation signal for identifying which MCP servers are actually discoverable by AI agents.
Developers building agentic tools should track MCP's evolving protocol primitives — especially MCP applications and skills — as these will define how agents expose UI and interoperate across major platforms like Claude, ChatGPT, and VS Code in 2026.
Developers evaluating MCP server adoption should note that trust and discoverability heavily favor officially maintained integrations, making playbook composition — rather than building new servers — the lower-friction path to delivering agentic value today.