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On October 27, 2026, Carta Chief Product Officer Vrushali Paunikar proposed that SaaS differentiation will shift to the plugin, skill, and workflow layers above the MCP connection layer. In her view, MCP solves the problem of connecting AI to enterprise software, but how to complete tasks after connection is the key, and the plugin and skill layers need to encapsulate instructions, workflows, and deterministic computation. The article cites a Google evaluation: when an AI coding agent accesses technical documentation through MCP and then supplements it with task-specific instructions, the pass rate reaches 96.3%, and each correct answer consumes 63% fewer tokens than with standard prompts. On this basis, she judges that when all applications can expose data through the same open standard, access itself is no longer scarce, and knowing how to turn access into reliable results is more valuable.
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Carta's Chief Product Officer: SaaS's Next Competition Is Above MCPDevelopments
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Oct 27
Unite.AI
Carta's Chief Product Officer: SaaS's Next Competition Is Above MCP
Carta Chief Product Officer Vrushali Paunikar believes that MCP solves the problem of connecting AI with enterprise software, but how to complete tasks after connecting is the key; the plugin and skill layers need to encapsulate instructions, workflows, and deterministic computation. The article cites a Google benchmark: letting an AI coding agent access technical documentation via MCP, then supplementing with task-specific instructions, achieved a 96.3% pass rate, with 63% fewer tokens consumed per correct answer than standard prompting. She believes that when all applications can expose data through the same open standard, access itself is no longer scarce, and knowing how to turn access into reliable results is more valuable.