io.github.1nzpainter/painting-lessons
Search transcribed painting lessons from mypaintingclub.com using natural-language questions, returning relevant passages with links to lessons and timestamped video deep links.
README
My Painting Club — Painting Lesson Knowledge Base (MCP Server)
A remote MCP (Model Context Protocol) server that lets AI agents search transcribed painting lessons from mypaintingclub.com.
What it does
The search_painting_lessons tool answers natural-language painting technique questions using real transcribed lesson content. Every result includes:
- Answer text — the relevant passage from the lesson
- Lesson title and sales page URL on mypaintingclub.com
- Vimeo deep link — a timestamped URL that seeks to the exact moment in the video
Topics covered: colour mixing, edges, composition, value, brushwork, oils, acrylics.
Connect via MCP
Server URL: https://mypaintingclub.com/kb/mcp
Protocol: Streamable HTTP (MCP 2025-03-26)
Auth: None required
Claude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"mpc-painting-lessons": {
"type": "streamable-http",
"url": "https://mypaintingclub.com/kb/mcp"
}
}
}
Cursor / other MCP clients
Add https://mypaintingclub.com/kb/mcp as a Streamable HTTP server.
Auto-discovery endpoints
| Path | Format |
|---|---|
/.well-known/mcp.json |
MCP auto-discovery |
/.well-known/ai-plugin.json |
OpenAI plugin manifest |
/kb/openapi.json |
OpenAPI spec |
/kb/docs |
API docs |
/kb/health |
Health check |
Rate limits
30 requests/minute per IP · 500 queries/day global (resets midnight UTC)
Tool reference
search_painting_lessons
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
question |
string | ✓ | — | Natural-language painting technique question |
top_k |
integer | 5 | Max results (1–20) |
Example:
{ "question": "how do I paint soft edges in oils", "top_k": 3 }
Links
- mypaintingclub.com — the full painting school
- Smithery listing
- /kb/docs — API documentation
- support@mypaintingclub.com
Official MCP Registry
Listed as io.github.1nzpainter/painting-lessons on the Official MCP Registry.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。
mcp-server-qdrant
这个仓库展示了如何为向量搜索引擎 Qdrant 创建一个 MCP (Managed Control Plane) 服务器的示例。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。