Summary
A remote MCP server for creating, editing, and exporting JSON Canvas files, the open infinite-canvas format used by Obsidian. Exposes seven tools: create and validate canvases, batch-edit nodes and edges, export to markdown, SVG, PNG, or Mermaid diagrams, and search across all your stored canvases. Includes an inline interactive viewer for pan and zoom. Authentication is handled via Microsoft Entra OAuth through the MCPCentral gateway, with per-user storage isolation. Useful when you need to programmatically generate or manipulate canvas-based knowledge graphs, flowcharts, or spatial documents without opening Obsidian itself. PNG export runs through a hardened headless browser for full-fidelity raster output.
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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.
Featured
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →Registryactive
TransportHTTP
AuthRequired
UpdatedMay 22, 2026
