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n00bvn/CanvasMCPClient

Zoomable canvas dashboard for talking to MCP servers

装之前:没有可直接复制的命令 · 许可证未标注 · 链接可访问

第一步:git clone https://github.com/n00bvn/CanvasMCPClient.git

在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网

我们没有从该仓库取到可核对的安装命令,也没有公开的远端端点。这两样都没有时,我们不出配置——编一条出来比不给更糟。 各客户端的接法 →

来源明细
收录自 abordage/awesome-mcp 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 2026-11-05 · 最近见到 2026-11-14 · 共见到 10 次 · 被 10 个来源列出
评分构成
综合分 1,003 · 10 个来源 · mcp
常见问题(答案都来自我们的记录)
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?
我们收录于 2026-11-05;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。

# Canvas MCP Client

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

A customizable infinite canvas dashboard with integrated Model Context Protocol (MCP) server support
Features • Quick Start • Documentation • Contributing • License
## 🎯 What is Canvas MCP Client?
Canvas MCP Client is an open-source, self-hostable dashboard application built around an infinite, zoomable, and pannable canvas. It provides a unified interface for interacting with multiple MCP (Model Context Protocol) servers through a flexible, widget-based system.
Why Canvas MCP Client?
🎨 Infinite Canvas: Organize your workspace spatially with unlimited zoom and pan capabilities
🧩 Modular Widgets: Use 12+ pre-built widgets or create your own custom components
🛠️ No-code Widget Builder: Use the widget builder to create your own widgets without coding
🤖 MCP Integration: Seamlessly connect to multiple MCP servers using the FastMCP library
🔌 AI-Powered: Configure multiple AI providers (OpenAI, Anthropic, Ollama, Google) for enhanced functionality
🎭 Template System: Save and share widget and dashboard configurations
🐳 Easy Deployment: One-command Docker setup or manual installation
🔒 Privacy-First: All data stays on your infrastructure, no external dependencies
Perfect for AI power users, developers, content creators, and anyone who wants a customizable workspace for managing AI tools and services.
## 🎥 Quick Demo
Click to watch the Canvas MCP Client demo video
## ✨ Features
### Core Functionality
🎨 Infinite Canvas Interface
Smooth zooming and panning
Grid snap and alignment tools
Persistent viewport state
Responsive and optimized rendering
🧩 Rich Widget System (12+ widgets)
📝 Sticky Notes - Quick notes and reminders
✅ To-Do Lists - Task management with checkboxes
💬 AI Chat - Integrated LLM conversations
🖼️ Image Display - Visual content display
🃏 Flash Cards - Learning and memorization
🎬 Video Player - Media playback
📊 Kanban Board - Project management
📈 Spreadsheet - Data tables and organization
📄 Markdown Editor - Formatted documentation
🌐 Webpage Preview - Embedded web content
🌍 World Clock - Multiple timezone display
☁️ Weather Widget - Live weather information
🔌 MCP Server Management
Configure multiple MCP server connections
Support for stdio, HTTP, and SSE transport protocols
Real-time connection status monitoring
Import/export server configurations
🤖 AI LLM Configuration
Multiple AI provider support (OpenAI, Anthropic, Ollama, Google)
Configurable model parameters
Secure credential storage
Custom API endpoints
📦 Template System
Save widgets as reusable templates
Export/import dashboard configurations
Share templates with the community
Template library with preview
🎨 Customization
Light and dark themes
Widget color and shape customization
Flexible layout options
Drag-and-drop interface
💾 Data Persistence
Automatic saving
Local SQLite storage (PostgreSQL ready)
Session recovery
Backup and restore capabilities
## 🚀 Quick Start
### Prerequisites
Docker & Docker Compose (Recommended) OR
Node.js 18+ and Python 3.10+ (Manual setup)
### Option 1: Docker (Recommended)
The fastest way to get started:
bash
# Clone the repository
git clone https://github.com/n00bvn/CanvasMCPClient.git
cd CanvasMCPClient
# Start the application
docker-compose up -d
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来源
awesome · https://github.com/n00bvn/CanvasMCPClient
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