Human Use enables AI to connect with human intelligence via the Rapidata API.
Created 5 months ago
Human Use enables AI to connect with human intelligence via the Rapidata API.
What is Human Use enables AI to connect with human intelligence via the Rapidata API.?
Human Use is the easiest way to connect your AI agents with human intelligence via the Rapidata API. It offers tools for free text responses, image classification, image ranking, and text comparison.
Documentation
🤖 Human Use is the easiest way to connect your AI agents with human intelligence via the Rapidata API.
Hosted Version
We now offer a hosted version of Human Use at chat.rapidata.ai - access all the features without setting up your own environment!
Human Use in Action
Coming up with a cool car design
https://github.com/user-attachments/assets/0d4c5c8f-4177-4fcf-8028-800dab16b009
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
- get_free_text_responses
- Will ask actual humans to provide some short free text responses to the question.
- get_human_image_classification
- Will ask actual humans to classify the images in the directory.
- get_human_image_ranking
- Will ask actual humans to rank the images in the directory.
- 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 Repository
git clone https://github.com/RapidataAI/human-use.git
Environment Configuration
Copy the .env.example file to .env and fill it in with your own credentials/settings
Note: paths should be ABSOLUTE paths
Installation with UV Prerequisites
Install uv if you haven't already:
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)
- Create and activate a virtual environment:
uv venv # On Unix/macOS source .venv/bin/activate # On Windows .venv\Scripts\activate - 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".
If UV is not found, make sure you close all terminals and editors, then re-open a new one and try again.
Contact
If you have any questions or need further assistance, please contact us at [email protected].
Server Config
{
"mcpServers": {
"human-use-enables-ai-to-connect-with-human-intelligence-via-the-rapidata-api.-server": {
"command": "npx",
"args": [
"human-use-enables-ai-to-connect-with-human-intelligence-via-the-rapidata-api."
]
}
}
}