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sketch/design — the system design interview board

A hand-drawn whiteboard for system design mock interviews, plus an MCP server that turns Claude or ChatGPT into your interviewer. It sees your board, listens to you, talks back, pins questions on your components, and ends with scored feedback.

A mock interview in progress: a URL shortener diagram, an interviewer question pinned on Redis, and the voice/text chat

  • Pencil-style canvas: a paper or chalkboard theme, with shapes that look drawn by hand (rough.js + perfect-freehand)

  • 27 system design components: load balancer, API gateway, CDN, cache, SQL and NoSQL databases, object store, queue, Kafka-style stream, pub/sub, workers, serverless functions, auth, monitoring, ML and more

  • Arrows that stay attached to components, with labels, curved or elbow routes, and dashed lines for async flows. Hover a component and drag its blue dot to connect it.

  • Interview panel: the problem, a timer, a phase tracker, chat, voice in (speech-to-text) and voice out (the interviewer's replies are read aloud)

  • The interviewer can read your diagram as structured data, look at a picture of it, pin comments on components, highlight things, sketch reference designs, and grade you at the end

  • Runs entirely on your machine. The AI runs in your own Claude or ChatGPT app, on your existing subscription, with no API keys.

Install

Requires Node.js 18+.

Your AI app

How to connect

Billed to

Claude Desktop

Double-click sysdesign-board-x.y.z.mcpb from Releases, or run npx -y sysdesign-board install

Claude Pro / Max

Claude Code

claude mcp add sysdesign-board -- npx -y sysdesign-board

Claude Pro / Max

Codex CLI

Add it to ~/.codex/config.toml (below)

ChatGPT Plus / Pro

ChatGPT (desktop / web)

Developer Mode connector through a tunnel (below)

ChatGPT Plus / Pro

Cursor, Windsurf, VS Code, others

The standard MCP JSON (below)

Your plan there

The .mcpb one-click file is Claude Desktop only. Every other app runs the same npm package.

Claude Desktop

Option A: one-click. Download the .mcpb file from Releases and double-click it. Claude Desktop shows an install dialog.

Option B: command line. First quit Claude Desktop completely (macOS: ⌘Q; Windows: tray icon → Quit). Claude rewrites its config file from memory when it quits, which would drop the new entry. Then run:

npx -y sysdesign-board install

Reopen Claude Desktop.

Option C: edit the config yourself (again, with Claude Desktop quit). The file is at:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  • Windows: %APPDATA%\Claude\claude_desktop_config.json

  • Linux (unofficial builds): ~/.config/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "sysdesign-board": { "command": "npx", "args": ["-y", "sysdesign-board"] }
  }
}

On Windows, use "command": "cmd", "args": ["/c", "npx", "-y", "sysdesign-board"]. If Claude can't find npx (common with nvm, Volta or asdf), use the absolute path from which npx (macOS/Linux) or where npx (Windows).

Claude Code

Either add the server directly:

claude mcp add sysdesign-board -- npx -y sysdesign-board

Or install the plugin, which also adds an interview skill, from this repo's marketplace. Run these inside Claude Code:

/plugin marketplace add tGhattas/sysdesign-board
/plugin install sysdesign-board@sysdesign-board

Codex CLI

Add this to ~/.codex/config.toml (Windows: %USERPROFILE%\.codex\config.toml):

[mcp_servers.sysdesign-board]
command = "npx"
args = ["-y", "sysdesign-board"]
tool_timeout_sec = 120

ChatGPT app

ChatGPT connects to MCP servers over public HTTPS, so you run the board locally and expose only its /mcp endpoint through a tunnel. The board itself, its API and its WebSocket refuse any request that doesn't come from localhost.

  1. Start the board, and keep this running:

    npx -y sysdesign-board serve
  2. In another terminal, open a tunnel (here with cloudflared):

    cloudflared tunnel --url http://localhost:4321
  3. Get your private connector token:

    npx -y sysdesign-board token
  4. In ChatGPT, go to Settings → Apps & Connectors → Advanced, enable Developer Mode, then Create a connector with the URL https://<your-tunnel>.trycloudflare.com/mcp?token=<token> and no authentication.

Treat that URL like a password. To change the token, delete ~/.sysdesign-board/token, or set SYSDESIGN_TOKEN yourself.

Any other MCP client

{ "command": "npx", "args": ["-y", "sysdesign-board"] }

Related MCP server: Excalidraw Architect MCP

Use it

Start a new chat and say:

Start a system design interview with me on my sketch board.

Or use the interview prompt from your app's prompt or slash menu. The board opens at http://localhost:4321.

  • Draw your design. Talk with the 🎤 mic (your message is sent when you pause) or type in the panel.

  • The interviewer keeps listening between replies. It is woken by what you say, and when you stop drawing for a few seconds.

  • Click I'm done when you're finished to get a feedback card with scores.

The board also works without any AI: run npx -y sysdesign-board serve and open http://localhost:4321.

Tools the interviewer gets

Tool

What it does

start_interview

Sets the problem, level and duration, opens the board, and speaks the opening line

wait_for_candidate

Waits for your speech or messages, or for board changes once you stop drawing

say

Sends a chat message, read aloud

get_board

Structured diagram: components, connections (with labels; dashed means async), zones, notes, and what changed

get_board_image

A PNG of the whole board (for handwriting and sketches)

annotate / clear_annotations

Pin or remove "INTERVIEWER" comment bubbles on components

highlight

Makes components glow, optionally zooming to them

draw_on_board

Adds components, connections, notes and zones in the same sketchy style

set_phase

Requirements → Estimation → API & Data → High-level → Deep dive → Wrap-up

end_interview

Feedback card with 1–5 scores, strengths and improvements

get_transcript, open_board

Housekeeping

Voice

  • Speech-to-text uses the browser's Web Speech API. Use Chrome, Edge or Safari; Firefox doesn't support it.

  • Text-to-speech uses your system voices. Toggle it with "Voice replies" in the panel. The mic pauses while the interviewer speaks, so it doesn't transcribe itself.

  • The native voice modes inside the ChatGPT and Claude apps can't be piped into another page. Those voice models are only available through paid APIs.

Keyboard

V select · H hand / hold Space · R rect · D diamond · O ellipse · A arrow · L line · P pen · T text · N sticky note · F zone · E eraser · K laser · C components · I interview panel · Q tool lock · G grid snap · ⌘/Ctrl Z undo · ⌘/Ctrl D duplicate · ⇧1 fit · ? all shortcuts

Privacy Policy

The full policy is in PRIVACY.md. In short:

  • What it handles: your board, the interview chat and voice transcripts, your settings, and a local access token.

  • Where it's stored: only on your machine, in the browser's local storage for the board page and in ~/.sysdesign-board/. The author runs no server, and there are no accounts, analytics or telemetry.

  • What leaves your computer:

    • When the AI interviewer calls a tool, the AI app you connected receives the board description, a picture of the board, your messages and your transcripts, under that provider's privacy policy.

    • The mic uses your browser's speech recognition. Chrome sends the audio to Google; Safari uses Apple's speech service.

    • npx downloads the package from npm.

    • With the optional tunnel, /mcp requests pass through the tunnel provider.

  • Security:

    • The board, its API and its WebSocket only answer localhost requests from localhost pages. Other websites and tunnels are refused, which also blocks DNS-rebinding attacks.

    • The HTTP endpoint (/mcp) always requires the token.

  • Sharing and retention: nothing is sold or shared. Data stays until you clear the board or delete ~/.sysdesign-board/.

  • Contact: open an issue.

Troubleshooting

  • The server doesn't appear in Claude Desktop. Claude was probably running when the config was edited and saved over it. Quit it fully, run npx -y sysdesign-board install, then reopen.

  • "npx: command not found" in Claude's logs. Use an absolute path to npx (see Option C), or run npx -y sysdesign-board install, which writes absolute paths for you.

  • Port 4321 is taken. Set SYSDESIGN_PORT (or --port=5000). In the .mcpb extension it's a setting.

  • The mic does nothing. Open the board in Chrome, Edge or Safari and allow microphone access.

  • Several apps connected at once? That's fine. The first one hosts the board and the others share it.

CLI

sysdesign-board            MCP server over stdio (what AI apps launch)
sysdesign-board serve      Board + HTTP MCP endpoint only
sysdesign-board install    Add to Claude Desktop (quit it first)  [--npx | --local]
sysdesign-board token      Print the HTTP MCP token / URL

Development

git clone <this repo> && cd sysdesign-board
npm install
npm run dev

npm run dev starts the hub on :4321 with reload, and Vite on :5173. Other scripts:

Command

What it does

npm run build

Builds the board UI and bundles the server into one file

npm run build:mcpb

Packs build/sysdesign-board-<version>.mcpb

npm run typecheck

Type-checks the web and server code

node scripts/mcp-smoke.mjs

Drives every MCP tool against a running board

npm run lock:plugin

Refreshes the Claude plugin's package-lock.json (run after the new version is on npm)

Releasing a new version:

  1. Run npm version <x.y.z> --no-git-tag-version. This also updates server.json and the plugin's version and pinned dependency.

  2. Run npm publish.

  3. Run npm run lock:plugin. The lockfile needs the published package's checksum, so this comes after publishing.

  4. Commit, then tag and push.

  5. Make a GitHub release with npm run build:mcpb.

  6. Run mcp-publisher publish for the MCP Registry.

The code lives in three folders:

  • web/: the board (React UI plus the canvas engine in web/src/engine.ts; renderer and component glyphs in web/src/render/)

  • server/: the hub (HTTP, WebSocket and persistence), the MCP tools and the CLI

  • shared/: the data model, component catalog and geometry

License

MIT

Available Tools

13 tools
annotatePin a comment on the boardA

Pin an interviewer comment bubble on the board, pointing at a component (by id or label) or at a position. Great for "what if this fails?" style probes.

Inputs: text (required), x, y, target.

clear_annotationsRemove interviewer commentsB
DestructiveIdempotent

Remove your pinned comments (all, or specific ids).

Inputs: ids.

draw_on_boardDraw on the boardB

Add components, connections, sticky notes and zones in the same sketchy style (marked as drawn by the interviewer). Use sparingly — the candidate should drive. Component kinds: user (User), browser (Web App), mobile (Mobile App), dns (DNS), cdn (CDN), lb (Load Balancer), gateway (API Gateway), firewall (Rate Limiter), server (App Server), service (Service), worker (Worker), lambda (Function), cron (Scheduler), sql (SQL DB), nosql (NoSQL DB), cache (Cache), storage (Object Store), search (Search Index), warehouse (Data Warehouse), queue (Queue), stream (Event Stream), pubsub (Pub/Sub), notify (Notifications), auth (Auth), monitor (Monitoring), ml (ML Model), external (External API). Connections reference a component by its ref/label (new or existing) or id. Positions are optional (auto-laid out to the right of existing content).

Inputs: notes, zones, components, connections.

end_interviewEnd the interview with feedbackB

Close the session and show a feedback card on the board. Scores are 1-5.

Inputs: scores (required), summary (required), strengths (required), improvements (required), +1 more.

get_boardRead the boardA
Read-only

Structured description of the board: components (type, label, id, position, zone), connections (from -> to, label, dashed=async), zones, notes and text, freehand strokes, plus what changed since you last looked.

Inputs: include_json.

get_board_imageLook at the boardA
Read-only

A PNG picture of the whole board as the candidate sees it (handwriting, sketches, layout). Use when get_board mentions freehand strokes or you need visual context.

Inputs: no named parameters.

get_transcriptConversation transcriptA
Read-only

Full chat/voice transcript of the current session.

Inputs: no named parameters.

highlightPoint at componentsA
Idempotent

Make components glow on the candidate’s board (e.g. while asking about them). Optionally scroll/zoom their view to them.

Inputs: targets (required), focus, seconds.

open_boardOpen the boardA
Idempotent

Open the sketch board in the user’s browser and return its URL.

Inputs: no named parameters.

saySpeak to the candidateA

Send a message to the candidate. It appears in the board chat and is read aloud. Keep it short and conversational (no markdown).

Inputs: text (required), speak.

set_phaseMove to an interview phaseA
Idempotent

Update the phase tracker the candidate sees: requirements (Requirements), estimation (Estimation), api (API & Data), high-level (High-level), deep-dive (Deep dive), wrap-up (Wrap-up).

Inputs: phase (required).

start_interviewStart a system design interviewA
Destructive

Start a new interview session on the board: sets the problem statement, timer and phase, opens the board, and posts your opening message (spoken aloud to the candidate).

Inputs: title (required), problem (required), level, clear_board, +2 more.

wait_for_candidateListen to the candidateA
Read-only

Block until the candidate says something (typed or by voice), the board changes and then settles, or the timeout passes. Returns what they said, what changed on the board, and interview timing. Call this in a loop between your replies.

Inputs: timeout_seconds.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A3.7/5.0

    Scored across 13 tools

    Disambiguation4/5

    Most tools map to clearly distinct actions: say (chat), annotate (pinned comment), highlight (glow), draw_on_board (add shapes), get_board (structured data), and get_board_image (visual) are well separated by their descriptions. Minor overlap exists between open_board and start_interview (which also opens the board), and between the two board-reading tools, but the descriptions resolve these.

    Naming Consistency4/5

    The dominant pattern is snake_case verb_noun (open_board, start_interview, get_board_image, clear_annotations, set_phase, end_interview, get_transcript), which is predictable. The bare-verb exceptions (say, annotate, highlight) are simple single-target actions and remain readable, so the deviation is minor.

    Tool Count5/5

    13 tools sits comfortably in the well-scoped range, and each one covers a distinct facet of a live interview session (conversation, observation, intervention, lifecycle). No tool looks redundant or like filler.

    Completeness4/5

    The lifecycle is well covered: start_interview, the wait_for_candidate loop, say, board inspection, annotation, phase tracking, end_interview, and get_transcript. Gaps are minor but real: there is no way to undo or delete interviewer-drawn components (only clear_annotations for pinned comments) and no explicit pause/reset of the timer or session state.

    Maintenance

    ActivityMaintained
    ResponsivenessOutdated data

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