MCP Servers
CanvasKeep/canvaskeep-mcp
MCP server for CanvasKeep: let Claude Code, Codex and other AI tools generate Excalidraw diagrams in your workspace
Our verdict
We have not reviewed CanvasKeep/canvaskeep-mcp yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About CanvasKeep/canvaskeep-mcp
CanvasKeep/canvaskeep-mcp is an MCP server that lets AI coding tools like Claude Code and Codex generate Excalidraw diagrams directly in your workspace. It integrates with these tools via the Model Context Protocol, enabling them to create and manage diagram files.
Best for
Developers using AI assistants who need quick visual diagrams in their workflow.
Use cases
- Generate architecture diagrams from code discussions
- Create flowcharts or wireframes during development
- Automate diagram updates in a project workspace
Notes
0 stars on GitHub. Last updated 2026-10-18. Licensed MIT.
Pros
- Works with multiple AI tools via MCP
- Directly outputs Excalidraw format
- TypeScript-based, easy to integrate
Cons
- No stars yet, indicating limited adoption
- Requires MCP-compatible client setup
- Limited to Excalidraw format
Key facts
What we have checked
- Days since the last commit
- 8
- GitHub forks
- 0
- GitHub stars
- 0
- Open issues
- 0
- Releases in the last 90 days
- 0
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Install
Add CanvasKeep/canvaskeep-mcp to your client
Our lab has not run this server yet. "Config checked" on a client means the recipe matches that client's documented config format; it does not mean we ran it.
Claude Code
Config checkedRun in your terminal (runs on your computer)
claude mcp add --env CANVASKEEP_API_KEY=YOUR_CANVASKEEP_API_KEY --transport stdio canvaskeep-canvaskeep-mcp -- npx -y canvaskeep-mcp@0.6.2Needs CANVASKEEP_API_KEY: replace each YOUR_ value with your own.
Claude Desktop
Config checkedAdd to claude_desktop_config.json (runs on your computer)
{
"mcpServers": {
"canvaskeep-canvaskeep-mcp": {
"command": "npx",
"args": [
"-y",
"canvaskeep-mcp@0.6.2"
],
"env": {
"CANVASKEEP_API_KEY": "YOUR_CANVASKEEP_API_KEY"
}
}
}
}Needs CANVASKEEP_API_KEY: replace each YOUR_ value with your own.
Cursor
Config checkedAdd to .cursor/mcp.json (runs on your computer)
{
"mcpServers": {
"canvaskeep-canvaskeep-mcp": {
"command": "npx",
"args": [
"-y",
"canvaskeep-mcp@0.6.2"
],
"env": {
"CANVASKEEP_API_KEY": "YOUR_CANVASKEEP_API_KEY"
}
}
}
}Needs CANVASKEEP_API_KEY: replace each YOUR_ value with your own.
VS Code
Config checkedAdd to .vscode/mcp.json (runs on your computer)
{
"inputs": [
{
"type": "promptString",
"id": "canvaskeep-api-key",
"description": "API key from your CanvasKeep dashboard (profile menu, API Keys)",
"password": true
}
],
"servers": {
"canvaskeep-canvaskeep-mcp": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"canvaskeep-mcp@0.6.2"
],
"env": {
"CANVASKEEP_API_KEY": "${input:canvaskeep-api-key}"
}
}
}
}Needs CANVASKEEP_API_KEY: replace each YOUR_ value with your own.
Codex
Config checkedAdd to ~/.codex/config.toml (runs on your computer)
[mcp_servers.canvaskeep-canvaskeep-mcp]
command = "npx"
args = ["-y", "canvaskeep-mcp@0.6.2"]
env_vars = ["CANVASKEEP_API_KEY"]Needs CANVASKEEP_API_KEY: replace each YOUR_ value with your own.
- ChatGPT: ChatGPT connects only to remote servers that need no API key.
Recipes come from the server's entry in the official MCP registry. Check the package name before you run it, and keep keys out of shared files.
Works with
What CanvasKeep/canvaskeep-mcp connects to
5 clients, each with how we know and when we checked.
| Works with | Type | How we know | Checked |
|---|---|---|---|
| Claude Code | Client | Install recipe matches the client's documented formatRuns locally, version 0.6.2Config checked | Claude Code docs |
| Claude Desktop | Client | Install recipe matches the client's documented formatRuns locally, version 0.6.2Config checked | Claude Desktop docs |
| Cursor | Client | Install recipe matches the client's documented formatRuns locally, version 0.6.2Config checked | Cursor docs |
| VS Code | Client | Install recipe matches the client's documented formatRuns locally, version 0.6.2Config checked | VS Code docs |
| Codex | Client | Install recipe matches the client's documented formatRuns locally, version 0.6.2Config checked | Codex docs |
Health and security
Is CanvasKeep/canvaskeep-mcp looked after, and what do its setup files show
Health score
38 out of 100
| Part | Points | What we saw |
|---|---|---|
| Recent activity | 30 of 30 | Last push 8 days ago |
| Releases | 0 of 15 | 0 releases in 90 days |
| Issue replies | Not counted | The latest check has no issue response reading (fewer than 3 measured issues, or issues switched off) |
| Maintainer | 0 of 15 | Owned by a single user |
| Official source | 0 of 20 | Community server |
Alternatives
Alternatives to CanvasKeep/canvaskeep-mcp
| Record | Type | How we know | Checked |
|---|---|---|---|
| DayuanJiang/next-ai-draw-ioThis is an alternative to it | MCP server | Named in the listing | Not dated |
Compare
Compare CanvasKeep/canvaskeep-mcp side by side
Sources
Where this comes from
- GitHubRegistry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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