Rijksmuseum MCP Plus 是 AI Skill Hub 本期精选MCP工具之一。综合评分 7.5 分,整体质量较高。我们推荐使用将其纳入你的 AI 工具库,帮助提升工作效率。
Rijksmuseum MCP Plus 是一款开源的MCP工具,提供了对Rijksmuseum收藏品的扩展元数据、语义化和链接数据等功能。它使用Python编写,支持MCP服务器等功能。该工具对艺术领域的研究和应用有着重要的价值。
Rijksmuseum MCP Plus 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
Rijksmuseum MCP Plus 是一款开源的MCP工具,提供了对Rijksmuseum收藏品的扩展元数据、语义化和链接数据等功能。它使用Python编写,支持MCP服务器等功能。该工具对艺术领域的研究和应用有着重要的价值。
Rijksmuseum MCP Plus 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/kintopp/rijksmuseum-mcp-plus
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"rijksmuseum-mcp-plus": {
"command": "npx",
"args": ["-y", "rijksmuseum-mcp-plus"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
# 安装后在 Claude 对话中直接使用 # 示例: 用户: 请帮我用 Rijksmuseum MCP Plus 执行以下任务... Claude: [自动调用 Rijksmuseum MCP Plus MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入:"列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"rijksmuseum_mcp_plus": {
"command": "npx",
"args": ["-y", "rijksmuseum-mcp-plus"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
rijksmuseum-mcp+ lets you explore the Rijksmuseum's artwork collections through natural conversation with an AI assistant. It does this by creating a bridge between the AI system's chat environment and an enriched copy of the museum's open-access, curated metadata. This in turn enables many additional features beyond those offered by the Rijksmuseum's collections portal, including full-text semantic search, structured provenance analysis, multiple similarity comparisons, AI-based visual analysis, and geospatial search. It works best when used together with rijksmuseum-iconclass-mcp, an analogous resource for Iconclass.
Please do not treat the data made available by this resource as current or authoritative. It is based on data copied from the Rijksmuseum on May 2nd, 2026. For current data, please always use the Rijksmuseum's own search portal and APIs. Nor have the (in small part, also LLM based) enrichments of the museum's geospatial and provenance data been reviewed or endorsed by the Rijksmuseum. This is an early pre-release of a technology demo that is still in active development. It is likely to include errors.
The tool was developed as a technology demo by the Research and Infrastructure Support (RISE) group at the University of Basel. We are particularly interested in exploring the research opportunities, methodological risks, and technical challenges posed by retrieving and analysing data with LLMs. If you are interested in collaborating with us in this area, please get in touch.
<p align="center"><img src="docs/roermond-passion.jpg" alt="Roermond Passion with highlighted panels" width="500"></p>
Rijksmuseum-mcp+ provides the following features and capabilities over and beyond those made available by the Rijksmuseum on their search collections page:
The best way to get started is with Claude Desktop or claude.ai by adding rijksmuseum-mcp+ as a custom 'Connector' to Claude using the URL below. This currently requires a paid ('Pro') or higher subscription from Anthropic.
https://rijksmuseum-mcp-plus-production.up.railway.app/mcp Go to Settings → Connectors → Add custom connector → Name it as you like and paste the URL into the Remote MCP Server URL field. You can ignore the Authentication section. Once the connector is configured, optionally set the permissions for its tools (e.g. 'Always allow'). See Anthropic's instructions for more details.
Afterwards, follow the same procedure to install rijksmuseum-mcp+'s companion IconClass resource, rijksmuseum-iconclass-mcp. This allows you to automatically search and explore c. 1.3 million Iconclass notations, concepts, and descriptive texts alongside the Rijksmuseum's metadata.
It is possible (with some tradeoffs) to use rijksmuseum-mcp+ without a paid subscription. For more details, please see the Choosing an AI system section below.
After you've connected the resource to your AI system, you can search, explore and ask questions about the Rijksmuseum's collections in natural language. For examples of the kinds of queries the systems can answer, please see the prompts below. Note: The links following these prompts are to sample responses in Claude Desktop. They only reproduce the texts of these sessions (no inline images or visualisations).
- What German artworks at the Rijksmuseum evoke vanitas and mortality? link - Which artworks have a provenance linked to Emperor Bonaparte? link - Show artworks which include an inscription saying, 'Amor vincit omnia' link - Find artworks similar to SK-A-2350 link - Which work in the collection had previously been held for the longest time by the same family? link - Show me sculptures in the collection by artists born in Leiden link - What are the three largest paintings in the collection by width? link - Which 15th-century paintings are listed as workshop productions? link - Show me the Roermondse passie and highlight the Betrayal of Judas link (requires Claude Desktop or claude.ai)
For examples of more complex queries and responses, please see the research scenarios.
该工具对艺术领域的研究和应用有着重要的价值,但其使用场景和功能需要进一步优化和扩展。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
经综合评估,Rijksmuseum MCP Plus 在MCP工具赛道中表现稳健,质量良好。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。
| 原始名称 | rijksmuseum-mcp-plus |
| 原始描述 | 开源MCP工具:MCP server for the Rijksmuseum collections with extended metadata, semantic and 。⭐15 · Python |
| Topics | mcparticonclasslinked-datamcp-serverprovenancepython |
| GitHub | https://github.com/kintopp/rijksmuseum-mcp-plus |
| License | MIT |
| 语言 | Python |
收录时间:2026-06-09 · 更新时间:2026-06-11 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端