MCP Docent Server

Name: MCP Docent Server
Author: dongprojectteam

@dongprojectteam

リポジトリ

MCP Docent Server について

Get detail captions for a image

#mcp-docent #image-analysis #ai-assistant

基本情報

カテゴリ

その他

ランタイム

node

トランスポート

stdio

公開者

dongprojectteam

設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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.

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