Server data from the Official MCP Registry
Create, validate, edit, export (markdown/svg/png/mermaid), and search JSON Canvas files.
Create, validate, edit, export (markdown/svg/png/mermaid), and search JSON Canvas files.
Remote endpoints: streamable-http: https://jsoncanvas.mcpcentral.io/mcp
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-mcpcentral-jsoncanvas": {
"url": "https://jsoncanvas.mcpcentral.io/mcp"
}
}
}From the project's GitHub README.
A remote Model Context Protocol server for working with
JSON Canvas files — the open infinite-canvas format used by
Obsidian. Create, validate, read, edit, export, and
search .canvas files, with an inline interactive canvas viewer.
Hosted by MCPCentral at https://jsoncanvas.mcpcentral.io/mcp
(Streamable HTTP). This repository is the public listing for the
MCP Registry; the server itself is closed-source.
mcp-name: io.mcpcentral/jsoncanvas
The endpoint requires Microsoft Entra OAuth via the MCPCentral gateway
(login.mcpcentral.io). MCP clients perform the standard OAuth flow automatically: an
unauthenticated request returns 401 with a WWW-Authenticate pointing at the
RFC 9728 metadata at
/.well-known/oauth-protected-resource, and the client takes you through sign-in. Canvases are
stored privately per authenticated user.
Claude Code
claude mcp add jsoncanvas --transport http https://jsoncanvas.mcpcentral.io/mcp
Claude Desktop / other clients via mcp-remote
{
"mcpServers": {
"jsoncanvas": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://jsoncanvas.mcpcentral.io/mcp"]
}
}
}
Any MCP client that supports remote Streamable HTTP servers with OAuth (Claude, Goose, OpenAI connectors, MCP Inspector) can connect.
| Tool | Description |
|---|---|
create_canvas | Create a canvas from nodes (+ optional edges); stored under a date-prefixed .canvas name. |
validate_canvas | Validate canvas data against the JSON Canvas 1.0 spec. |
read_canvas | Read a stored canvas and return its nodes and edges. |
list_canvases | List your stored canvases. |
edit_canvas | Atomic batch add/update/remove of nodes and edges (removing a node cascades its edges). |
export_canvas | Export to markdown, svg, mermaid, or png (full-fidelity raster via Browser Rendering). |
search_canvases | Case-insensitive field-level search across your canvases. |
create_canvas, read_canvas, and edit_canvas carry MCP Apps UI metadata so supporting hosts
render the result inline in an interactive pan/zoom viewer.
canvas://schema — JSON Schema for canvas files.canvas://examples/basic — a simple two-node example canvas.ui://canvas/viewer.html — the interactive read-only viewer (MCP Apps UI).MIT.
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