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RapidataAI/human-use
Enable AI to ask anyone anything
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- collected from the abordage/awesome-mcp list · type: MCP server
- Harvest history
- first seen 2026-10-14 · last seen 2026-10-16 · seen 4× · listed by 3 sources
- Score
- score 303 · 3 sources · mcp
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How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
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We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-10-14；last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Third-party quality signals
Human Use 🤝 Enable AI to ask anyone anything
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
🤖 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
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)
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
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:
Setup Instructions (in the human-use repository)
1. Create and activate a virtual environment:
2. Install dependencies:
Run the application
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.
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
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)
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
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:
Setup Instructions (in the human-use repository)
1. Create and activate a virtual environment:
2. Install dependencies:
Run the application
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.
- Source
- awesome · https://github.com/RapidataAI/human-use
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