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

We now offer a hosted version of Human Use at chat.rapidata.ai - access all the features without setting up your own environment!

Coming up with a cool car design

Finding the best slogan

Function Naming

Ranking different image generation models.

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

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.

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.

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.

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

Copy the .env.example file to .env and fill it in with your own credentials/settings

Note: paths should be ABSOLUTE paths

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"

1. Create and activate a virtual environment:

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

2. Install dependencies:

   uv sync

streamlit run app.py

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".

If UV is not found, make sure you close all terminals and editors, then re-open a new one and try again.

If you have any questions or need further assistance, please contact us at [email protected].