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
13

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 OperationsSupports 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 OperationsAllows creating edges between nodes, setting the start and end positions, color, and label.
Canvas ValidationEnsures that your canvas file complies with the JSON Canvas 1.0 specification, avoiding format errors.
Multi-Format ExportSupports exporting the canvas in JSON, SVG, and PNG formats to meet different usage requirements.

Advantages and Limitations

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 MapUse text nodes and edges to create a simple mind map to show the relationships between concepts.
Project Planning CanvasUse 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.
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