MCP-Human

Overview

MCP‑Human is an MCP server that bridges the gap between autonomous AI assistants and human expertise. By exposing a simple “human” capability, it lets an AI system ask real people to answer questions or perform tasks that are difficult for the model alone—such as interpreting ambiguous user intent, verifying sensitive information, or providing creative input. This human‑in‑the‑loop approach is invaluable for developers who need to combine the speed of AI with the judgment and nuance that only a person can supply.

The server works by creating Mechanical Turk (MTurk) tasks on behalf of the AI client. When an assistant invokes the tool, MCP‑Human submits a HIT (Human Intelligence Task) to MTurk, specifying the question or request. Workers on MTurk complete the HIT and return their response, which MCP‑Human forwards back to the AI. The system supports both sandbox (for testing) and production environments, allowing developers to iterate safely before launching real requests. Configuration is driven by environment variables such as , , and , giving fine‑grained control over costs, region selection, and incentive levels.

Key capabilities include automatic MTurk integration, configurable reward amounts, secure handling of AWS credentials, and a simple JSON‑based configuration for MCP clients. Developers can add the server to their Claude or other MCP‑compatible assistant with a single command, after setting up an AWS IAM user with Mechanical Turk permissions. The server’s lightweight design means it can run locally or in a cloud container, making it easy to incorporate into existing AI workflows without adding significant infrastructure overhead.

Typical use cases span a wide range of domains: validating factual claims in knowledge‑base construction, gathering user feedback for iterative product design, or providing a fallback mechanism when an AI’s confidence is low. In research settings, MCP‑Human can serve as a controlled way to evaluate human versus model performance on complex queries. For production applications, it offers a compliance layer where sensitive decisions are vetted by people before being acted upon.

What sets MCP‑Human apart is its adherence to the MCP standard, ensuring seamless interoperability with any MCP client. The server abstracts away the complexities of MTurk’s API and credential management, letting developers focus on defining the human tasks rather than plumbing. Its sandbox mode protects against accidental costs during development, while its configurable reward system allows fine tuning of worker engagement. In short, MCP‑Human provides a practical, standardized pathway to enrich AI assistants with reliable human input whenever it matters most.