Human

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Human acts as an MCP server, enabling AI assistants to leverage human skills. It receives requests from the AI, presents instructions to a human operator via a Streamlit UI, and relays the human's response back to the AI. It offers tools that allow AI to utilize human sight, touch, speech, hearing, smell, and taste, integrating human sensory input and simple actions into AI workflows.

Características Principales

• Displays instructions to humans and prompts for responses via a Streamlit application.
• 35 GitHub stars
• Writes instructions to an SQLite database.
• Provides tools utilizing human senses and basic physical actions (eye, hand, mouth, ear, nose, taste).
• Accepts tool execution requests from MCP clients via STDIN.
• Reads results from the SQLite database and returns them to the MCP client via STDOUT.

Casos de Uso

• Integrating human language and understanding into AI workflows through spoken responses.
• Enabling AI to gather real-world sensory data (visual descriptions, sounds, smells, tastes).
• Allowing AI to delegate simple physical tasks to a human operator.