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Sensor Mcp
What is Sensor Mcp
sensor-mcp is an academic project page template designed for researchers to showcase their work effectively. It provides a structured format for presenting research papers and related multimedia content.
Use cases
Use cases for sensor-mcp include creating personal project pages for academic conferences, showcasing research projects in educational institutions, and providing a platform for sharing multimedia content related to academic work.
How to use
To use sensor-mcp, click on ‘Use this Template’ to create your own project page. Edit the ‘index.html’ file to customize the content and style according to your needs, following the provided comments for guidance.
Key features
Key features of sensor-mcp include a teaser video, images carousel, YouTube embedding, video carousel, PDF poster support, and BibTeX citation integration. These components help in creating an engaging and informative project page.
Where to use
sensor-mcp can be used in academic settings, particularly for researchers, students, and institutions looking to present their research findings, projects, or academic papers online.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Sensor Mcp
sensor-mcp is an academic project page template designed for researchers to showcase their work effectively. It provides a structured format for presenting research papers and related multimedia content.
Use cases
Use cases for sensor-mcp include creating personal project pages for academic conferences, showcasing research projects in educational institutions, and providing a platform for sharing multimedia content related to academic work.
How to use
To use sensor-mcp, click on ‘Use this Template’ to create your own project page. Edit the ‘index.html’ file to customize the content and style according to your needs, following the provided comments for guidance.
Key features
Key features of sensor-mcp include a teaser video, images carousel, YouTube embedding, video carousel, PDF poster support, and BibTeX citation integration. These components help in creating an engaging and informative project page.
Where to use
sensor-mcp can be used in academic settings, particularly for researchers, students, and institutions looking to present their research findings, projects, or academic papers online.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Academic Project Page Template
This is an academic paper project page template.
Example project pages built using this template are:
- https://horwitz.ai/probex
- https://vision.huji.ac.il/probegen
- https://horwitz.ai/mother
- https://horwitz.ai/spectral_detuning
- https://vision.huji.ac.il/ladeda
- https://vision.huji.ac.il/dsire
- https://horwitz.ai/podd
- https://dreamix-video-editing.github.io
- https://horwitz.ai/conffusion
- https://horwitz.ai/3d_ads/
- https://vision.huji.ac.il/ssrl_ad
- https://vision.huji.ac.il/deepsim
Start using the template
To start using the template click on Use this Template.
The template uses html for controlling the content and css for controlling the style.
To edit the websites contents edit the index.html file. It contains different HTML “building blocks”, use whichever ones you need and comment out the rest.
IMPORTANT! Make sure to replace the favicon.ico under static/images/ with one of your own, otherwise your favicon is going to be a dreambooth image of me.
Components
- Teaser video
- Images Carousel
- Youtube embedding
- Video Carousel
- PDF Poster
- Bibtex citation
Tips:
- The
index.htmlfile contains comments instructing you what to replace, you should follow these comments. - The
metatags in theindex.htmlfile are used to provide metadata about your paper
(e.g. helping search engine index the website, showing a preview image when sharing the website, etc.) - The resolution of images and videos can usually be around 1920-2048, there rarely a need for better resolution that take longer to load.
- All the images and videos you use should be compressed to allow for fast loading of the website (and thus better indexing by search engines). For images, you can use TinyPNG, for videos you can need to find the tradeoff between size and quality.
- When using large video files (larger than 10MB), it’s better to use youtube for hosting the video as serving the video from the website can take time.
- Using a tracker can help you analyze the traffic and see where users came from. statcounter is a free, easy to use tracker that takes under 5 minutes to set up.
- This project page can also be made into a github pages website.
- Replace the favicon to one of your choosing (the default one is of the Hebrew University).
- Suggestions, improvements and comments are welcome, simply open an issue or contact me. You can find my contact information at https://horwitz.ai
Acknowledgments
Parts of this project page were adopted from the Nerfies page.
Website License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










