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mikechao/metmuseum-mcp

mikechao/metmuseum-mcp

📇 ☁️ - Search and display artworks via the Metropolitan Museum of Art Collection API
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add metmuseum-mcp -- npx -y metmuseum-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
35 ★ · mikechao/metmuseum-mcp · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 10 个来源列出
评分构成
综合分 1,003 · 35 ★ · 10 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 mikechao/metmuseum-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

Met Museum MCP Server

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

A Model Context Protocol (MCP) server that provides access to the Metropolitan Museum of Art Collection through natural language interactions. This server allows AI models to search The Met's art collection and retrieve artwork details (including images) via tool results.
Table of Contents
- Features
- List Departments
- Search Museum Objects
- Get Museum Object
- Open Met Explorer App
- MCP Apps
- Prerequisites
- Quick Start
- Configuration
- Transports
- Streamable HTTP Transport
- Usage with ChatGPT
- Usage with Claude Desktop
- Usage with LibreChat
- Example Queries
- Development
- Contributing
- License
- Disclaimer
Hosted deployment
A hosted deployment is available on Fronteir AI.
Features
This server provides AI models the following tools to interact with the art collection of The Met:
1. List Departments (list-departments)
Lists all the valid departments at The Met
- Inputs:
- None
- Output:
2. Search Museum Objects (search-museum-objects)
Search for various objects in The Met based on the inputs.
- Inputs:
- q (string): The search term e.g. sunflowers
- hasImages (boolean, optional, default: false): Only search for objects with images
- title (boolean, optional, default: false): Returns objects that match the query, specifically searching against the title field for objects.
- departmentId (number, optional): Returns objects that are a part of a specific department.
- page (number, optional, default: 1): 1-based page number for results.
- pageSize (number, optional, default: 24): Number of Object IDs per page (max 100).
- Outputs:
3. Get Museum Object (get-museum-object)
Get a specific object from The Met containing all open access data about that object, including its image (if the image is available under Open Access).
If there is an image and returnImage is true, it is returned as an image content block in the tool result (base64-encoded JPEG).
Use this tool when the user asks for deeper details on a specific artwork and you already have an objectId.
- Inputs:
- objectId (number): The id of the object to retrieve
- returnImage (boolean, optional, default: true): Whether to include the object's image (if available) in the tool result
- Outputs:
If returnImage is true
4. Open Met Explorer App (open-met-explorer)
Launches an interactive MCP App (ui://met/explorer.html) that can search, filter, and inspect objects from within MCP clients that support Apps.
Recommended flow:
- Use open-met-explorer to launch and browse live search results (pass q to start searching immediately).
- After creating a curated list from current results, use get-museum-object only for items the user wants to explore in depth.
- Inputs (all optional):
- q (string): Initial search term.
- hasImages (boolean, default: true): Prefer objects with images.
- title (boolean, default: false): Search titles only.
- departmentId (number): Pre-select a department filter.
- Output:
MCP Apps
▶️ Click to watch the demo video
There are now MCP Apps in this MCP Server. There is a UI component for the Open Met Explorer App tool and the Get Museum Object tool.
Prerequisites
- Node.js v18 or later
Quick Start
Run the server directly with npx — no install required:
This starts the server using **stdio transport**, which is what most MCP desktop clients expect.
For client-specific setup, see:
- Usage with Claude Desktop
- Usage with ChatGPT (requires Streamable HTTP transport)
来源
awesome · https://github.com/mikechao/metmuseum-mcp
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