The Part of My AI Stack That Isn't AI: Human Workers via MCP

Everyone talks about MCP as the protocol for connecting AI to APIs. Stripe, HubSpot, Postgres, Gmail — plug in a server, get tools, let the AI call them. But here's what nobody's writing about: MCP...

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The Part of My AI Stack That Isn't AI: Human Workers via MCP

Source: DEV Community

Everyone talks about MCP as the protocol for connecting AI to APIs. Stripe, HubSpot, Postgres, Gmail — plug in a server, get tools, let the AI call them. But here's what nobody's writing about: MCP works just as well for dispatching tasks to humans. I've been running a system where my AI orchestrates microtask workers — real people — through the same MCP tool interface it uses to call any other API. The AI creates campaigns, assigns tasks, monitors submissions, validates results, rates workers, and stores outputs. All through standard MCP tool calls. No custom integration. No separate dashboard. The human workforce is just another tool in the AI's toolkit. The setup Microtask platforms (Microworkers, Amazon Mechanical Turk, Toloka) have REST APIs. You can create tasks, assign them to workers, pull results, and rate quality programmatically. Building one of these as an MCP tool bundle takes the same effort as building tools for any other SaaS API. Once you do, your AI gets tools like: C

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