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| title: CV MCP Server | |
| emoji: 💻 | |
| colorFrom: yellow | |
| colorTo: blue | |
| sdk: gradio | |
| sdk_version: 6.0.1 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| short_description: Real-time CV VLM MCP Server for MCP 1st Birthday Hackathon | |
| tags: | |
| - building-mcp-track-creative | |
| # 🎥 CV MCP Server | |
| A **Model Context Protocol (MCP) server** that provides **real-time scene analysis** for webcam images. | |
| This Space allows users to stream live video feeds and get detailed insights about the environment, objects, humans, and more. | |
| 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). | |
| 🎬 Watch a demo of the CV MCP Server analyzing a robot’s camera feed: | |
| [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 **context window efficiency** | |
| --- | |
| ## 🔧 How It Works | |
| This Space leverages the MCP server to analyze images captured from your webcam: | |
| 1. Stream an image from your webcam. | |
| 2. The image is sent to the **MCP server**. | |
| 3. The server processes it using the **Model Context Protocol**. | |
| 4. Outputs are returned and displayed in the UI, including: | |
| - General 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 | |
| - A valid **Hugging Face API Token** is required. | |
| - If running locally, set your token as an environment variable: | |
| ```bash | |
| export HF_TOKEN=your_huggingface_token | |