官方说明3 个来源MCP 服务3 天前
RapidataAI/human-use
Enable AI to ask anyone anything
在 GitHub 查看 ↗直链 · 无中转页
- 来源明细
- 收录自 abordage/awesome-mcp 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
- 收录与活跃
- 收录于 2026-10-14 · 最近见到 2026-10-16 · 共见到 4 次 · 被 3 个来源列出
- 评分构成
- 综合分 303 · 3 个来源 · mcp
常见问题（答案都来自我们的记录）
怎么安装？
我们【没有】从该仓库取到安装命令（我们的 install 覆盖率只有约 4%）。请看它的 README 或 releases 页。
它适合谁 / 用来做什么？
我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
我们收录于 2026-10-14；最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记
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.
- 来源
- awesome · https://github.com/RapidataAI/human-use
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