MCP as the HTTP of Agentic SaaS
Ayan Barua, CEO of Ampersand, on infra for AI agent integrations
This shift moves integration value away from who exposes the cleanest common schema, and toward who makes messy real systems safe and usable for agents. MCP gives agents a standard way to discover tools and pull live context, much like a common port for AI connections. But the hard commercial layer still sits above the protocol, in auth, permissions, field mapping, retries, and governed execution across many SaaS systems.
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Unified APIs won by hiding edge cases from human developers. Agent workflows flip that logic. If an agent can inspect custom fields, odd object structures, and tenant specific workflows directly, deep access becomes more valuable than flattening everything into the same 10 fields.
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The closest comp is HTTP itself. HTTP standardized transport, but did not solve identity, reliability, rate limits, or app logic. MCP is similar. Anthropic defines it as a standard way to provide context to LLMs, while Ampersand and Zapier both position themselves as the orchestration layer on top.
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That is why very different players are converging on MCP. Merge offers one MCP server into hundreds of tools. Zapier layers admin controls and long tail app coverage on top. Ampersand leans into deep product integrations and customer specific mapping. The protocol is shared, but the product moat moves to workflow quality and control.
The next phase is a stack where most SaaS products expose agent ready surfaces through MCP, and the winners above that layer own trust and execution. As more software is used through invisible agent workflows instead of human clicks, the integration platforms that combine protocol support with security, governance, and deep system context will capture more of the value.