MCP Docent Server

What is MCP Docent Server?

MCP Docent Server is an AI-based MCP server that receives image files and generates descriptive commentary (docent) text for them. It is built with TypeScript and Express, providing an extensible structure for registering docent tools.

How to use MCP Docent Server?

Upload an image file to the server; the AI analyzes the image and automatically produces a docent sentence. Configuration and step‑by‑step invocation details are not provided in the README.

Key features of MCP Docent Server

• AI analyzes uploaded images and generates docent text
• Supports registration of multiple docent tools
• Built with TypeScript on an Express server
• Extensible structure for adding new tools

Use cases of MCP Docent Server

• Generating descriptive commentary for museum or gallery exhibits
• Creating automatic image descriptions for accessibility
• Educational tool for AI‑powered art analysis

FAQ from MCP Docent Server

What does MCP Docent Server do?

It takes an image file as input and outputs a docent (commentary) text generated by an AI analysis system.

What technology is MCP Docent Server built on?

It is a TypeScript‑based Express server, requiring Node.js as the runtime environment.

What files are included in the project?

The source directory (src/) contains the entry point (index.ts) and the docent tool registration logic (tools/registerDocentTool.ts).

Is MCP Docent Server open source and what license does it use?

Yes, it is distributed under the MIT License.