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| title: CV MCP Client | |
| emoji: 🐢 | |
| colorFrom: indigo | |
| colorTo: red | |
| sdk: gradio | |
| sdk_version: 6.0.1 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| short_description: Computer Vision MCP Client for MCP 1st Birthday Hackathon | |
| tags: | |
| - mcp-in-action-track-creative | |
| # 🎥 CV MCP Client | |
| A **Computer Vision Model Context Protocol (MCP) Client** that streams webcam images and provides detailed scene analysis in real time, designed for the **MCP 1st Birthday Hackathon**. | |
| Check out the Hackathon details [here](https://huggingface.co/MCP-1st-Birthday). | |
| The social media post of this MCP Hackthon project on [Discord](https://discord.com/channels/879548962464493619/1439001549492719726/1443045145284051084) [Instagram](https://www.instagram.com/p/DRsw2KOADrB/) [Thread](https://www.threads.com/@oppa.ai_the.one.and.only/post/DRsxlNzAdCj?xmt=AQF0fVYU0qfeEUT4nDojv48yYZmjtK6tCrMx3sehnhVyOw). | |
| Demo video of the CV MCP Server analyzing the video feed from my robot: | |
| [Demo Video](https://photos.app.goo.gl/guxui1EsdPNoL4mw7) | |
| GitHub repo of the cv robot python script: | |
| https://github.com/OppaAI/CV_Robot_MCP | |
| --- | |
| ## 🌟 Key Features | |
| - Real-time scene description | |
| - Human detection | |
| - Animal and object detection | |
| - Environment classification (indoor/outdoor) | |
| - Lighting condition analysis | |
| - Hazards identification | |
| - Optimized for efficient context window usage | |
| --- | |
| ## 🔧 How It Works | |
| This Gradio Space interacts with an MCP server to analyze webcam images: | |
| 1. Capture an image from your webcam. | |
| 2. Convert the image to **Base64 format**. | |
| 3. Send the image along with your **Hugging Face API token** to the MCP server. | |
| 4. Receive detailed scene analysis, including: | |
| - Scene description | |
| - Detected humans | |
| - Detected animals and objects | |
| - Environment type (indoor/outdoor) | |
| - Lighting condition | |
| - Hazards | |
| --- | |
| ## ⚡ Demo | |
| Compatible with **PC, mobile, and robots with cameras**. | |
| Stream images via your webcam or phone camera to receive real-time scene analysis. | |
| Watch a demo video of the CV MCP Server analyzing the video feed from my robot: | |
| [Demo Video](https://photos.app.goo.gl/guxui1EsdPNoL4mw7) | |
| --- | |
| ## 🔑 Requirements | |
| - **Hugging Face API Token** is required for MCP server access. | |
| - Set your token as an environment variable: | |
| ```bash | |
| export HF_TOKEN=your_huggingface_token | |