About MCP Docent Server
MCP Docent Server is an MCP server that analyzes submitted images and generates descriptive text for AI applications. It also supports registering multiple docent tools.
Key features
- 01Analyze uploaded images
- 02Generate image descriptions
- 03Register multiple docent tools
- 04Built with TypeScript and Express
Use cases
- 01Generate captions for images
- 02Add image descriptions to an AI application
MCP support
The MCP server accepts images through registered docent tools and provides AI-generated descriptions.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP Docent Server
이미지를 입력받아 해당 이미지에 대한 해설 텍스트(docent)를 생성하는 MCP 서버입니다.
AI 기반 해설 시스템을 활용하여 다양한 이미지에 대해 자동으로 설명을 생성합니다.
주요 기능
- 이미지 파일을 업로드하면 AI가 해당 이미지를 분석하여 해설 문장을 생성
- 다양한 도슨트 도구 등록 기능 지원
- TypeScript 기반 Express 서버로 확장성 있는 구조
디렉토리 구조 및 주요 구성
src/
├── index.ts # 서버 엔트리 포인트
└── tools/
└── registerDocentTool.ts # 도슨트 도구 등록 로직
LICENSE (MIT License)
MIT License
Copyright (c) 2025 Dong Project Team
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.