JSON Canvas MCP Server

JSON Canvas MCP Server

A Model Context Protocol server that enables creating, modifying, and validating infinite canvas data structures according to the JSON Canvas 1.0 specification.

Cam10001110101

Note Taking
Developer Tools
Visit Server

README

JSON Canvas MCP Server

A Model Context Protocol (MCP) server implementation that provides tools for working with JSON Canvas files according to the official specification. This server enables creating, modifying, and validating infinite canvas data structures.

Overview

The JSON Canvas MCP server provides a complete implementation of the JSON Canvas 1.0 specification, enabling:

  • Creation and manipulation of infinite canvas data
  • Support for all node types (text, file, link, group)
  • Edge connections with styling and labels
  • Validation against the specification
  • Configurable output paths

Components

Resources

The server exposes the following resources:

  • canvas://schema: JSON Schema for validating canvas files
  • canvas://examples: Example canvas files demonstrating different features
  • canvas://templates: Templates for creating new canvases

Tools

Node Operations

  • create_node

    • Create a new node of any supported type
    • Input:
      • type (string): Node type ("text", "file", "link", "group")
      • properties (object): Node-specific properties
        • Common: id, x, y, width, height, color
        • Type-specific: text, file, url, etc.
    • Returns: Created node object
  • update_node

    • Update an existing node's properties
    • Input:
      • id (string): Node ID to update
      • properties (object): Properties to update
    • Returns: Updated node object
  • delete_node

    • Remove a node and its connected edges
    • Input:
      • id (string): Node ID to delete
    • Returns: Success confirmation

Edge Operations

  • create_edge

    • Create a new edge between nodes
    • Input:
      • id (string): Unique edge identifier
      • fromNode (string): Source node ID
      • toNode (string): Target node ID
      • fromSide (optional string): Start side ("top", "right", "bottom", "left")
      • toSide (optional string): End side
      • color (optional string): Edge color
      • label (optional string): Edge label
    • Returns: Created edge object
  • update_edge

    • Update an existing edge's properties
    • Input:
      • id (string): Edge ID to update
      • properties (object): Properties to update
    • Returns: Updated edge object
  • delete_edge

    • Remove an edge
    • Input:
      • id (string): Edge ID to delete
    • Returns: Success confirmation

Canvas Operations

  • validate_canvas

    • Validate a canvas against the specification
    • Input:
      • canvas (object): Canvas data to validate
    • Returns: Validation results with any errors
  • export_canvas

    • Export canvas to different formats
    • Input:
      • format (string): Target format ("json", "svg", "png")
      • canvas (object): Canvas data to export
    • Returns: Exported canvas in requested format

Usage with Claude Desktop

Docker

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "jsoncanvas": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-v",
        "canvas-data:/data",
        "mcp/jsoncanvas"
      ],
      "env": {
        "OUTPUT_PATH": "/data/output"
      }
    }
  }
}

UV

{
  "mcpServers": {
    "jsoncanvas": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/jsoncanvas",
        "run",
        "mcp-server-jsoncanvas"
      ],
      "env": {
        "OUTPUT_PATH": "./output"
      }
    }
  }
}

Configuration

The server can be configured using environment variables:

  • OUTPUT_PATH: Directory where canvas files will be saved (default: "./output")
  • FORMAT: Default output format for canvas files (default: "json")

Building

Docker Build

docker build -t mcp/jsoncanvas .

Local Build

# Install uv if not already installed
curl -LsSf https://astral.sh/uv/install.sh | sh

# Create virtual environment and install dependencies
uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
uv pip install -e .

# Run tests
pytest

Example Usage

Creating a Canvas

from jsoncanvas import Canvas, TextNode, Edge

# Create nodes
title = TextNode(
    id="title",
    x=100,
    y=100,
    width=400,
    height=100,
    text="# Hello Canvas\n\nThis is a demonstration.",
    color="#4285F4"
)

info = TextNode(
    id="info",
    x=600,
    y=100,
    width=300,
    height=100,
    text="More information here",
    color="2"  # Using preset color
)

# Create canvas
canvas = Canvas()
canvas.add_node(title)
canvas.add_node(info)

# Connect nodes
edge = Edge(
    id="edge1",
    from_node="title",
    to_node="info",
    from_side="right",
    to_side="left",
    label="Connection"
)
canvas.add_edge(edge)

# Save canvas
canvas.save("example.canvas")

License

This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
MCP Package Docs Server

MCP Package Docs Server

Facilitates LLMs to efficiently access and fetch structured documentation for packages in Go, Python, and NPM, enhancing software development with multi-language support and performance optimization.

Featured
Local
TypeScript
Claude Code MCP

Claude Code MCP

An implementation of Claude Code as a Model Context Protocol server that enables using Claude's software engineering capabilities (code generation, editing, reviewing, and file operations) through the standardized MCP interface.

Featured
Local
JavaScript
@kazuph/mcp-taskmanager

@kazuph/mcp-taskmanager

Model Context Protocol server for Task Management. This allows Claude Desktop (or any MCP client) to manage and execute tasks in a queue-based system.

Featured
Local
JavaScript
Apple MCP Server

Apple MCP Server

Enables interaction with Apple apps like Messages, Notes, and Contacts through the MCP protocol to send messages, search, and open app content using natural language.

Featured
Local
TypeScript
Linear MCP Server

Linear MCP Server

Enables interaction with Linear's API for managing issues, teams, and projects programmatically through the Model Context Protocol.

Featured
JavaScript
mermaid-mcp-server

mermaid-mcp-server

A Model Context Protocol (MCP) server that converts Mermaid diagrams to PNG images.

Featured
JavaScript
Jira-Context-MCP

Jira-Context-MCP

MCP server to provide Jira Tickets information to AI coding agents like Cursor

Featured
TypeScript
Todoist MCP

Todoist MCP

An MCP server that enables LLMs to interact with Todoist tasks, projects, and other features through the Todoist API.

Featured
TypeScript