MCP server that lets agents get human opinions in real-time (github.com)

Datapoint AI has introduced an innovative MCP server that allows language models like Claude, GPT, and Gemini to obtain real-time human opinions. This functionality enables users to conduct surveys and A/B tests on various forms of content—including text, images, audio, and video—directly from their editor, closing the gap between AI-generated suggestions and actual human preferences. The system gathers human feedback through a panel of evaluators and integrates the results seamlessly back into the conversation, improving the decision-making process for developers and researchers. This advancement is significant for the AI/ML community as it enhances the interpretability and effectiveness of large language models (LLMs) by addressing their limitations in assessing user preferences. With capabilities that support model evaluation, preference data collection, and dataset labeling, Datapoint MCP provides a flexible platform for quick product research, testing concepts, and ensuring quality control before AI implementations. The ease of integration and pay-as-you-go API model increases accessibility for both individual developers and research teams, potentially accelerating advancements in AI evaluation methodologies.