N
n00bvn/CanvasMCPClient
Zoomable canvas dashboard for talking to MCP servers
View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
We have neither an install command nor a public remote endpoint from this repository, so we do not print a config. A made-up one is worse than none. How each client wires MCP up →
- Source
- collected from the abordage/awesome-mcp list · type: MCP server
- Harvest history
- first seen 2026-11-05 · last seen 2026-11-14 · seen 10× · listed by 10 sources
- Score
- score 1,003 · 10 sources · mcp
FAQ (answers come from our records)
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-11-05;last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.
# 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
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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