Human Use 🤝 Enable AI to ask anyone anything

🤖 Human Use is the easiest way to connect your AI agents with human intelligence via the Rapidata API.

Human Use in Action

Finding the best slogan

Function Naming

Ranking different image generation models.

MCP Server

Overview

The MCP server is a tool that allows you to connect your AI agents with human intelligence via the Rapidata API.

Tools

1. get_free_text_responses
   • Will ask actual humans to provide some short free text responses to the question.
2. get_human_image_classification
   • Will ask actual humans to classify the images in the directory.
3. get_human_image_ranking
   • Will ask actual humans to rank the images in the directory.
4. get_human_text_comparison
   • Will ask actual humans to compare two texts and select which one is better.

Configuration

Cursor

add the following to your cursor mcp.json file (usually in ~/.cursor/mcp.json)

{
    "mcpServers": {
        "human-use": {
            "command": "uv",
            "args": [
                "--directory",
                "YOUR_ABSOLUTE_PATH_HERE",
                "run",
                "rapidata_human_api.py"
            ]
        }
    }
}

You should now be able to see the human-use server in Cursor settings.

App

Overview

The app is a custom Streamlit app that allows you to use the MCP server. We have built because of issues with other clients. Namely the Claude desktop app.

App Setup

Clone Repositories

Clone the following repositories along side the current one (do not clone them inside the current one, can be whereever it’s convenient).:

git clone https://github.com/RapidataAI/human-use.git

Environment Configuration

1. Create a .env file in the human-use repository
2. Use the .env.example file as a template
3. Replace the default values with your own credentials/settings

Note: paths should be ABSOLUTE paths

Installation with UV

Prerequisites

Install uv if you haven’t already:

# For MacOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh

# For Windows
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Setup Instructions (in the human-use repository)

1. Create and activate a virtual environment:

   uv venv
   
   # On Unix/macOS
   source .venv/bin/activate
   
   # On Windows
   .venvScriptsactivate
   

2. Install dependencies:

   uv sync
   

Run the application

streamlit run app.py

Troubleshooting

If you encounter issues, with the dependencies make sure that “which python” and “which streamlit” are the same path. If they are not the same path, run “python -m streamlit run app.py” instead of “streamlit run app.py”.

Contact

If you have any questions or need further assistance, please contact us at info@rapidata.ai.