MCP Server Obsidian Jsoncanvas
M

MCP Server Obsidian Jsoncanvas

An MCP server that implements the JSON Canvas specification, providing tools for creating, modifying, and validating infinite canvas data structures.
2.5 points
6.3K

What is the JSON Canvas MCP Server?

The JSON Canvas MCP Server is a service based on the Model Context Protocol (MCP), specifically designed to handle JSON Canvas files. It allows users to create, edit, and validate infinite canvas data structures, supporting various node types such as text, files, links, and groups.

How to use the JSON Canvas MCP Server?

You can use this service through a Docker container or by directly running Python code. It provides basic operations such as creating nodes, connecting nodes, and validating the canvas.

Use cases

Suitable for scenarios that require visual organization of information, such as knowledge management, mind mapping, and project planning. Particularly suitable for applications that require an infinitely expandable canvas.

Main Features

Node Operations
Supports creating, updating, and deleting four types of nodes: text, files, links, and groups. Each node can have attributes such as position, size, and color set.
Edge Operations
Allows creating edges between nodes, setting the start and end positions, color, and label.
Canvas Validation
Ensures that your canvas file complies with the JSON Canvas 1.0 specification, avoiding format errors.
Multi-Format Export
Supports exporting the canvas in JSON, SVG, and PNG formats to meet different usage requirements.
Advantages
Fully compatible with the JSON Canvas 1.0 specification
Supports Docker containerized deployment for easy integration
Provides rich API interfaces for secondary development
Includes validation functionality to ensure data quality
Limitations
Currently only supports the node types defined in the official specification
Limited performance optimization for large canvases
Visual rendering requires additional front-end implementation

How to Use

Installation and Startup
Install and start the service through Docker or a local Python environment.
Create the First Node
Use the create_node operation to create a text node.
Connect Nodes
Use the create_edge operation to connect two nodes.
Export the Canvas
Export the completed canvas as a JSON file.

Usage Examples

Create a Simple Mind Map
Use text nodes and edges to create a simple mind map to show the relationships between concepts.
Project Planning Canvas
Use group nodes to organize project tasks and file nodes to attach relevant documents.

Frequently Asked Questions

How to reset the entire canvas?
Does it support custom node types?
Is there a limit to the canvas size?

Related Resources

JSON Canvas Specification
Official JSON Canvas 1.0 specification document
GitHub Repository
Project source code and issue tracking
Example Canvas Set
Built - in example canvas files

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "jsoncanvas": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-v",
        "canvas-data:/data",
        "mcp/jsoncanvas"
      ],
      "env": {
        "OUTPUT_PATH": "/data/output"
      }
    }
  }
}

{
  "mcpServers": {
    "jsoncanvas": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/jsoncanvas",
        "run",
        "mcp-server-jsoncanvas"
      ],
      "env": {
        "OUTPUT_PATH": "./output"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
10.3K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
6.0K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
5.5K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
8.1K
5 points
M
Mcpjungle
MCPJungle is a self-hosted MCP gateway used to centrally manage and proxy multiple MCP servers, providing a unified tool access interface for AI agents.
Go
0
4.5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
N
Nexus
Nexus is an AI tool aggregation gateway that supports connecting multiple MCP servers and LLM providers, providing tool search, execution, and model routing functions through a unified endpoint, and supporting security authentication and rate limiting.
Rust
0
4 points
S
Shadcn Ui MCP Server
An MCP server that provides shadcn/ui component integration for AI workflows, supporting React, Svelte, and Vue frameworks. It includes functions for accessing component source code, examples, and metadata.
TypeScript
12.2K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
14.8K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
16.7K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
23.8K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
44.1K
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
45.0K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
20.3K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
15.0K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
29.5K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase