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+# Workbench Server v2 Design Spec
+
+**Date:** 2026-03-30
+**Status:** Draft
+**Repo:** https://git.sethpc.xyz/Seth/workbench-server
+
+## Summary
+
+Workbench is an MCP server that lets any AI CLI create and control interactive web pages served over LAN. The AI pushes arbitrary HTML/CSS/JS to a browser page via WebSocket. Use cases: hardware diagnostics, guided procedures, dashboards, data collection — anything that benefits from a visual display surface the AI can control.
+
+v2 adds: server persistence (survives AI CLI restarts), pip-installable packaging, AI-guided setup (INSTALL.md/START.md), and a simplified desktop-focused layout (no embedded terminal panel).
+
+## What Changes From v1
+
+| Aspect | v1 | v2 |
+|--------|----|----|
+| Server persistence | In-memory only — lost on restart | `.server.json` on disk, reconnect on startup |
+| Layout | Split: diagnostic panel + sethmux iframe | Full-width display surface, no terminal |
+| Mobile support | Responsive stacking | Desktop only |
+| Dependencies | mcp, aiohttp | mcp, aiohttp (unchanged) |
+| Packaging | Raw script | pip-installable package |
+| Setup | Manual | AI-guided (INSTALL.md → START.md) |
+| tmux/sethmux | Embedded iframe | Removed entirely |
+
+## What Stays The Same
+
+- MCP server on stdio transport
+- 6 MCP tools: `workbench_scaffold`, `workbench_state`, `workbench_log`, `workbench_read_log`, `workbench_list`, `workbench_stop`
+- HTTP + WebSocket per project (aiohttp)
+- AI pushes arbitrary HTML/CSS/JS — no widget system, full creative freedom
+- Dual-format session logging (session.md + session.jsonl)
+- Project directories at `~/workbench/<name>/`
+- LAN-native, no cloud, no auth
+- Cost tracking (cost-log.jsonl)
+
+## Architecture
+
+```
+┌─────────────────────┐         ┌──────────────────────────────┐
+│  AI CLI terminal    │         │  Browser (desktop)           │
+│                     │         │                              │
+│  AI calls MCP tools │  stdio  │  ┌────────────────────────┐  │
+│  workbench_state  ──┼────┐    │  │  AI-generated content  │  │
+│  workbench_log      │    │    │  │  HTML / CSS / JS       │  │
+│  etc.               │    │    │  │  updated live via WS   │  │
+│                     │    ▼    │  │                        │  │
+│                     │  MCP    │  │  Schematics, tables,   │  │
+│                     │  server │  │  checklists, dashboards│  │
+│                     │    │    │  │  — anything the AI     │  │
+│                     │    │    │  │    decides to build     │  │
+│                     │    ▼    │  ├────────────────────────┤  │
+│                     │  HTTP + │  │  Log feed              │  │
+│                     │  WS on  │  └────────────────────────┘  │
+│                     │  LAN    │  ● Connected │ project-name  │
+└─────────────────────┘         └──────────────────────────────┘
+```
+
+## Persistence Mechanism
+
+### Problem
+
+The MCP server runs as a subprocess of the AI CLI. When the AI restarts, the MCP server restarts, and all in-memory state (running HTTP servers, WebSocket clients) is lost. The AI then calls `workbench_scaffold` again and starts a duplicate server.
+
+### Solution
+
+Persist server state to disk. On startup and on each `workbench_scaffold` call, check for an existing running server before starting a new one.
+
+**Per-project server file:** `~/workbench/<name>/.server.json`
+
+```json
+{
+  "pid": 12345,
+  "port": 8070,
+  "started": "2026-03-30T10:00:00-04:00"
+}
+```
+
+### workbench_scaffold flow
+
+```
+workbench_scaffold(name, title)
+  │
+  ├─ Project dir exists?
+  │   ├─ No → create dir, write scaffold HTML, init logs
+  │   └─ Yes → keep existing files
+  │
+  ├─ .server.json exists?
+  │   ├─ No → start new HTTP server, write .server.json
+  │   └─ Yes → read port from file
+  │           ├─ HTTP GET localhost:<port> returns 200?
+  │           │   ├─ Yes → server is alive, reattach (add to active_projects)
+  │           │   └─ No → server is dead, clean up .server.json, start new server
+  │           └─ PID still running? (fallback check)
+  │
+  └─ Return {"path": "...", "url": "http://<lan-ip>:<port>"}
+```
+
+### MCP server startup (reconnect)
+
+When the MCP server process starts (before any tool calls), scan for running servers:
+
+```python
+for project_dir in ~/workbench/*/:
+    server_file = project_dir / ".server.json"
+    if server_file.exists():
+        info = json.loads(server_file.read_text())
+        if is_server_alive(info["port"]):
+            active_projects[name] = {"port": info["port"], ...}
+```
+
+This means: AI CLI restarts → MCP server restarts → immediately knows about all running project servers → `workbench_list` and `workbench_state` work without calling `workbench_scaffold` again.
+
+### workbench_stop flow
+
+```
+workbench_stop(project)
+  │
+  ├─ Log session end to cost-log.jsonl
+  ├─ Stop HTTP server (runner.cleanup())
+  ├─ Delete .server.json
+  └─ Remove from active_projects
+```
+
+## Scaffold HTML (v2)
+
+Full-width desktop layout. No split pane, no iframe, no terminal embed.
+
+```html
+<!DOCTYPE html>
+<html>
+<head>
+  <title>{{TITLE}}</title>
+  <style>
+    :root {
+      --bg: #0a0f0c;
+      --panel-bg: #111a15;
+      --border: #2a3a2e;
+      --text: #aaccaa;
+      --text-dim: #557755;
+      --accent: #33ff66;
+    }
+    * { margin: 0; padding: 0; box-sizing: border-box; }
+    body {
+      background: var(--bg);
+      color: var(--text);
+      font-family: monospace;
+      font-size: 14px;
+      height: 100vh;
+      display: flex;
+      flex-direction: column;
+    }
+    #content {
+      flex: 1;
+      overflow-y: auto;
+      padding: 16px;
+    }
+    #log-feed {
+      border-top: 1px solid var(--border);
+      padding: 8px 12px;
+      max-height: 200px;
+      overflow-y: auto;
+    }
+    #log-feed h3 {
+      color: var(--text-dim);
+      font-size: 11px;
+      letter-spacing: 2px;
+      text-transform: uppercase;
+      margin-bottom: 4px;
+    }
+    .log-entry {
+      font-size: 12px;
+      color: var(--text-dim);
+      padding: 2px 0;
+    }
+    .log-entry .log-time {
+      color: var(--accent);
+      margin-right: 8px;
+    }
+    #status {
+      background: var(--panel-bg);
+      border-top: 1px solid var(--border);
+      padding: 4px 12px;
+      font-size: 11px;
+      color: var(--text-dim);
+    }
+    #status.connected { color: var(--accent); }
+  </style>
+</head>
+<body>
+  <div id="content">
+    <h1 style="color: var(--accent); font-size: 18px;">{{TITLE}}</h1>
+    <p style="color: var(--text-dim); margin-top: 8px;">{{DESCRIPTION}}</p>
+    <p style="color: var(--text-dim); margin-top: 16px;">Waiting for content...</p>
+  </div>
+  <div id="log-feed">
+    <h3>Session Log</h3>
+    <div id="log-entries"></div>
+  </div>
+  <div id="status">Connecting...</div>
+
+  <script>
+    const WS_URL = `ws://${location.host}/ws`;
+    let ws;
+
+    function connect() {
+      ws = new WebSocket(WS_URL);
+      ws.onopen = () => {
+        document.getElementById('status').textContent = 'Connected';
+        document.getElementById('status').className = 'connected';
+      };
+      ws.onclose = () => {
+        document.getElementById('status').textContent = 'Disconnected — reconnecting...';
+        document.getElementById('status').className = '';
+        setTimeout(connect, 2000);
+      };
+      ws.onmessage = (e) => {
+        const msg = JSON.parse(e.data);
+        if (msg.type === 'state') handleState(msg.state);
+        if (msg.type === 'log') handleLog(msg.entry);
+      };
+    }
+
+    function handleState(state) {
+      if (state.template) {
+        document.getElementById('content').innerHTML = state.template;
+      }
+      if (state.styles) {
+        let el = document.getElementById('dynamic-styles');
+        if (!el) { el = document.createElement('style'); el.id = 'dynamic-styles'; document.head.appendChild(el); }
+        el.textContent = state.styles;
+      }
+      if (state.script) {
+        try { new Function(state.script)(); } catch(e) { console.error('Script error:', e); }
+      }
+      window.__workbench_state = state;
+      try { localStorage.setItem('workbench-state', JSON.stringify(state)); } catch(e) {}
+    }
+
+    function handleLog(entry) {
+      const div = document.createElement('div');
+      div.className = 'log-entry';
+      const time = new Date().toLocaleTimeString();
+      div.innerHTML = `<span class="log-time">${time}</span>${entry}`;
+      const feed = document.getElementById('log-entries');
+      feed.appendChild(div);
+      feed.scrollTop = feed.scrollHeight;
+    }
+
+    // Restore state from localStorage on load
+    try {
+      const saved = JSON.parse(localStorage.getItem('workbench-state'));
+      if (saved) handleState(saved);
+    } catch(e) {}
+
+    connect();
+  </script>
+</body>
+</html>
+```
+
+Key changes from v1:
+- No split layout, no divider, no term-panel, no iframe
+- Full-width `#content` area
+- Flexbox column layout (content grows, log and status at bottom)
+- No mobile media queries
+- Same WebSocket reconnect logic
+- Same localStorage state persistence
+
+## MCP Tools (unchanged API)
+
+The 6 tools keep the same interface. Only internal behavior changes for persistence.
+
+### workbench_scaffold
+
+Same parameters: `name`, `title`, `description`.
+New behavior: checks `.server.json` before starting a new server (see Persistence Mechanism above).
+Returns: `{"path": "...", "url": "http://<lan-ip>:<port>"}` (unchanged).
+
+### workbench_state
+
+Unchanged. Pushes JSON to browser via WebSocket. `template`, `styles`, `script` fields.
+
+### workbench_log
+
+Unchanged. Appends to session.md and session.jsonl, pushes to browser log feed.
+
+### workbench_read_log
+
+Unchanged. Returns recent log entries from session.jsonl.
+
+### workbench_list
+
+Same return format, but now also checks `.server.json` files to detect servers that survived an MCP restart.
+
+### workbench_stop
+
+Same behavior, plus deletes `.server.json` on stop.
+
+## Source Structure
+
+```
+workbench-server/
+  pyproject.toml
+  README.md
+  INSTALL.md
+  LICENSE
+  src/
+    workbench/
+      __init__.py
+      __main__.py         # python -m workbench
+      cli.py              # CLI: mcp, serve, list, help
+      server.py           # MCP server + HTTP/WS management + persistence
+      project.py          # Project dir management, logging
+      scaffold.html       # HTML template
+  tests/
+    conftest.py
+    test_project.py
+    test_persistence.py
+    test_server.py
+```
+
+## Packaging
+
+```toml
+[build-system]
+requires = ["setuptools>=68.0"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "workbench-server"
+version = "0.1.0"
+description = "MCP server that lets AI CLIs build interactive web pages served over LAN"
+requires-python = ">=3.10"
+dependencies = [
+    "mcp>=1.26.0",
+    "aiohttp>=3.9.0",
+]
+
+[project.scripts]
+workbench = "workbench.cli:main"
+```
+
+## INSTALL.md
+
+Same AI-guided pattern as kitty-workbench, but simpler (no terminal detection needed):
+
+1. Clone + pip install
+2. Detect platform and browser availability
+3. Configure MCP for user's AI CLI
+4. SSH ControlMaster setup (if applicable)
+5. Smoke test
+6. Write `~/workbench/START.md`
+
+## README.md
+
+Public-facing. Setup is "paste the URL" or "read INSTALL.md". Desktop browser as the display surface. No mention of kitty or terminal splitting. Examples: hardware diagnostics, guided procedures, data collection.
+
+## CLI Interface
+
+```
+workbench mcp              # start MCP server (stdio transport)
+workbench serve <name>     # serve a project without MCP (standalone)
+workbench list             # list projects
+workbench help             # usage
+```