Server data from the Official MCP Registry
Create, validate, edit, export (markdown/svg/png/mermaid), and search JSON Canvas files.
About
Create, validate, edit, export (markdown/svg/png/mermaid), and search JSON Canvas files.
Remote endpoints: streamable-http: https://jsoncanvas.mcpcentral.io/mcp
Security Report
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.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
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"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
JSON Canvas MCP Server
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
Authentication
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.
Client configuration
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.
Tools
| 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.
Resources
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).
Security
- Per-user isolation — every canvas is scoped to the authenticated user; no cross-user reads.
- Auth required — all tool calls require a valid Entra-issued bearer token.
- Hardened — strict input/size caps, bounded search, accurate tool annotations, and an SSRF-blocked PNG renderer (the headless browser cannot be coerced into outbound requests).
- Report vulnerabilities per SECURITY.md. Please do not open public issues for security reports.
License
MIT.
Reviews
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