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MCP Docent Server

@dongprojectteam

代码仓库

基本信息

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作者

dongprojectteam

关于 MCP Docent Server

Get detail captions for a image

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

MCP Docent Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

MCP Docent Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

1

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.

2

What technology is MCP Docent Server built on?

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

3

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`).

4

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

Yes, it is distributed under the MIT License.

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