MCP Docent Server

MCP Docent Server

By dongprojectteam GitHub

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mcp-docent image-analysis
Overview

What is MCP Docent Server?

MCP Docent Server is an AI-based server that generates descriptive text (docent) for images uploaded by users. It utilizes an AI-driven explanation system to automatically create descriptions for various images.

How to use MCP Docent Server?

To use the MCP Docent Server, simply upload an image file, and the AI will analyze the image and generate a descriptive sentence based on its content.

Key features of MCP Docent Server?

  • Upload image files for AI analysis and description generation.
  • Support for registering various docent tools.
  • Built on a scalable TypeScript-based Express server architecture.

Use cases of MCP Docent Server?

  1. Generating descriptions for educational images in museums.
  2. Assisting visually impaired users by providing audio descriptions of images.
  3. Enhancing content accessibility on websites by providing image descriptions.

FAQ from MCP Docent Server?

  • Can MCP Docent Server analyze any type of image?

Yes! The server is designed to analyze a wide range of images and generate relevant descriptions.

  • Is there a limit to the size of the images I can upload?

Yes, there may be size limitations based on server configurations, but generally, most standard image sizes are supported.

  • Is MCP Docent Server free to use?

Yes! The server is open-source and free to use under the MIT License.

Overview

What is MCP Docent Server?

MCP Docent Server is an AI-based server that generates descriptive text (docent) for images uploaded by users. It utilizes an AI-driven explanation system to automatically create descriptions for various images.

How to use MCP Docent Server?

To use the MCP Docent Server, simply upload an image file, and the AI will analyze the image and generate a descriptive sentence based on its content.

Key features of MCP Docent Server?

  • Upload image files for AI analysis and description generation.
  • Support for registering various docent tools.
  • Built on a scalable TypeScript-based Express server architecture.

Use cases of MCP Docent Server?

  1. Generating descriptions for educational images in museums.
  2. Assisting visually impaired users by providing audio descriptions of images.
  3. Enhancing content accessibility on websites by providing image descriptions.

FAQ from MCP Docent Server?

  • Can MCP Docent Server analyze any type of image?

Yes! The server is designed to analyze a wide range of images and generate relevant descriptions.

  • Is there a limit to the size of the images I can upload?

Yes, there may be size limitations based on server configurations, but generally, most standard image sizes are supported.

  • Is MCP Docent Server free to use?

Yes! The server is open-source and free to use under the MIT License.

No tools information available.

MCP Server using OpenRouter models to get descriptions for images

mcp-openvision image-analysis
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