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.
@dongprojectteam
Basic information
Get detail captions for a image
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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.
It takes an image file as input and outputs a docent (commentary) text generated by an AI analysis system.
It is a TypeScript‑based Express server, requiring Node.js as the runtime environment.
The source directory (`src/`) contains the entry point (`index.ts`) and the docent tool registration logic (`tools/registerDocentTool.ts`).
Yes, it is distributed under the MIT License.

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