GetABrain is an MCP server that routes questions to paid human workers and returns schema-validated JSON responses. It enables AI agents to access human expertise for tasks requiring human judgment across 16 response types.
GetABrain is an MCP (Model Context Protocol) server that integrates human workers into AI agent workflows. It routes questions from AI agents to a network of paid, quality-scored human workers and returns their responses as schema-validated JSON data. The tool supports 16 different response types including yes/no answers, ratings, rankings, and multiple-choice options, making it suitable for diverse information gathering tasks.
GetABrain is deployed as an MCP server. Installation involves: 1) Cloning the repository from GitHub (Guitarmaniac24/getabrainmcpserver), 2) Installing dependencies, 3) Configuring your API credentials with the GetABrain service, 4) Connecting it to your MCP-compatible AI platform (Claude, ChatGPT via plugins, or other supported platforms), 5) Testing the connection with sample queries.
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