@ky-ai/ng

ky-ai-ng

Run Angular dev servers so an agent can read build logs and control them without managing OS processes — no port scanning, no Stop-Process, no orphaned node.exe.

Built for many interdependent frontends: one hub exposes a single MCP server; each frontend runs a supervisor that auto-registers with the hub. The agent can discover what's running, then targets any frontend by name.

                      ┌─────────────── ky-ai-ng hub ───────────────────────────┐
   agent ── MCP ────► │  MCP server  +  registry of supervisors                │
                      └───▲───────────────▲───────────────▲────────────────────┘
                          │ register      │ register      │ register / forward
                  ky-ai-ng serve        ky-ai-ng serve     ky-ai-ng serve
                  (MyApp)               (Admin)            (Docs)
                  ng serve + log        ng serve + log     ng serve + log

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For Humans

What it does

ky-ai-ng serve wraps ng serve for one frontend. You keep your normal dev server view in the console, while the agent gets to read the build logs and ask for a restart over MCP. You start and stop it; the agent only ever asks questions and requests a restart.

Ownership model

You own the dev servers — you run each ky-ai-ng serve in your IDE and watch its live console. The agent never starts or stops processes itself; it just talks to the tools, and a restart re-spawns only that one dev server while your console stays live. Stop it however you like (Ctrl+C, IDE's Stop button) — the whole ng process tree always goes down with it, so the port is never left orphaned.

Commands

• serve — one per frontend: runs ng serve, mirrors the output to your console and to the agent, and tracks the build's green/red state. Start order doesn't matter and it survives a restart.
• run <script> — supervise an npm script (npm run <script>) just like serve. Use it for package.json scripts that wrap ng serve (e.g. start:debug).
• nx <target> — supervise an nx target (nx run app:serve:dev) just like serve. For nx monorepos; the project name defaults to the target's project (dashboard:serve:development → dashboard).
• init — wire ky-ai-ng into your agent (see Connect your agent).
• update — update to the latest release (see Update).
• shutdown — stop everything ky-ai-ng is running.
• one-shot — tee any other ng command (build, version, …) to the console.

Usage

ky-ai-ng serve [options]                   # one per frontend
  --name <id>         Project name in the hub (default: parent folder of ClientApp)
  --log-lines <N>     Lines kept in the in-memory log buffer (default: 200; 0 = unlimited)
  --log-file <file>   Also mirror the buffer to a file (default: off — MCP serves logs)
  --rest-port <N>     Local REST control port (default: OS-assigned)
  --hub-port <N>      Hub port to register with (default: 5101; rarely needed — doesn't start a hub)
  --no-hub            Standalone: buffer + local REST only; no hub, no agent access
  --after-start <cmd...>  Run <cmd> once the first build settles (the dev server is up); greedy,
                          so put it last. Replaces `serve & sleep 1 && cmd` (PowerShell has no `&`).
                          Shares this console and is killed when serve stops.
  (anything else after `serve` is forwarded to `ng serve`, e.g. --port 4015)
  e.g. ky-ai-ng serve --after-start ky-ai-browser -y

ky-ai-ng run <script> [options] [-- <args>]  # supervise `npm run <script>` like serve
  (same options as serve; runs in the nearest package.json dir, then ./ClientApp)
  e.g. ky-ai-ng run start:debug

ky-ai-ng nx <target...> [options]            # supervise an nx target like serve
  (everything after `nx` is forwarded to the local nx CLI; same options as serve;
   name defaults to the target's project, e.g. dashboard:serve:development → dashboard;
   runs in the nearest nx workspace — node_modules\nx searching up, then ./ClientApp)
  e.g. ky-ai-ng nx run dashboard:serve:development

ky-ai-ng shutdown                          # stop the hub + every frontend it supervises

ky-ai-ng init [--agent claude|cursor|vscode] [-y] [--dir <path>]   # wire it into your agent (default: auto-detect)

ky-ai-ng <ng args...> [--log-file f.log]   # one-shot tee (--log-file also writes a file)

It uses your project's local Angular CLI, found by searching up from the current directory (and in a ClientApp subfolder), so serve works whether you launch from the workspace or a full-stack repo root. Make sure dependencies are installed.

Project name

Each supervisor registers under a name the agent uses to target it. Default: the parent folder of ClientApp (so C:\...\MyApp\ClientApp → MyApp). Override with --name. Keep names unique — a duplicate name overwrites the earlier registration.

Run it from your IDE

A start:ai script per frontend, run in IDE:

// each ClientApp/package.json
"scripts": { "start:ai": "ky-ai-ng serve" }

Alternative (Rider) — a Shell Script config (no package.json edit; mirrors the ky-ai-dotnet setup):

1. Run/Debug Configurations → + → Shell Script
2. Name: e.g. MyApp frontend (ky-ai-ng)
3. Execute: Script text
4. Script text: ky-ai-ng serve (needs ky-ai-ng.exe on PATH; otherwise the full publish path)
5. Working directory: the Angular workspace (the ClientApp folder, where angular.json is) — this is how the name defaults to the parent folder of ClientApp
6. Interpreter path: powershell.exe
7. Leave "Execute in the terminal" unchecked — Rider then runs it as a managed process in the Run tool window (green running state + a working red Stop button). Checked, the script runs in a terminal tab Rider doesn't track, so it shows as not running.

One config per frontend either way; the MCP hub auto-starts, so there's no separate hub config.

Connect your agent

ky-ai-ng init wires it into your agent for you — it targets Claude Code, Cursor, or VS Code. Choose with --agent <claude|cursor|vscode>, or omit it to auto-detect the agent your workspace already uses and confirm via an interactive picker.

To wire it by hand instead, the per-agent files are:

Claude Code — .mcp.json (one entry total, regardless of how many frontends):

{ "mcpServers": { "ky-ai-ng": { "type": "http", "url": "http://127.0.0.1:5101/mcp" } } }

plus allowing its tools in .claude/settings.local.json:

{
  "permissions": { "allow": [
    "mcp__ky-ai-ng__list", "mcp__ky-ai-ng__status", "mcp__ky-ai-ng__wait_for_build",
    "mcp__ky-ai-ng__restart", "mcp__ky-ai-ng__stop", "mcp__ky-ai-ng__start",
    "mcp__ky-ai-ng__tail", "mcp__ky-ai-ng__set_log_lines", "mcp__ky-ai-ng__shutdown"
  ] },
  "enabledMcpjsonServers": ["ky-ai-ng"]
}

Cursor — .cursor/mcp.json (transport inferred from url); VS Code — .vscode/mcp.json (note the top-level servers key). Neither has a file-based allow-list — tools are toggled in the editor's UI:

{ "mcpServers": { "ky-ai-ng": { "url": "http://127.0.0.1:5101/mcp" } } }              // .cursor/mcp.json
{ "servers":    { "ky-ai-ng": { "type": "http", "url": "http://127.0.0.1:5101/mcp" } } } // .vscode/mcp.json

Update

Update to the latest release with the tool's own command — it detects how it was installed and runs the matching package manager:

ky-ai-ng update

• installed via npm → npm install --global @ky-ai/ng@latest
• installed as a .NET global tool → dotnet tool update --global KY.AI.Ng --no-cache Before updating it stops any other running instance first.

Running multiple Angular majors on one machine

ky-ai-ng's major version tracks the Angular major it targets (see the supported versions table), so PATH points at the latest major — right for everyday work. To drive a project pinned to an older Angular, don't rely on PATH: install that major into its own versioned folder and call it by full path, leaving PATH on the newest.

ky-ai-ng serve                                           # latest, via PATH
%USERPROFILE%\.nuget\packages\ky.ai.ng\21.0.0\tools\ky-ai-ng.exe serve   # an Angular 21 project

That path is the NuGet global-packages cache (where dotnet restore unpacks a package); a --tool-path install places the exe elsewhere.

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For Agents

All tools are exposed by the hub (http://127.0.0.1:5101/mcp). Each (except shutdown/list) takes a project (a name from list) — omit it when only one frontend is registered and it resolves automatically. Allow-list each as mcp__ky-ai-ng__<name>. All return JSON except tail (text).

Tool	Args	Purpose
list	detail?	running frontends, each a compact {name, running, pid, build:{status, errors, warnings, building, pending}}. Call first. detail=true (or status with no project) for the full payload
status	project?	one frontend, or all if omitted — includes building/pending, errors/warnings, diagnostics, filesInLastBuild
wait_for_build	project?, timeoutMs? (default 60000)	block until the in-flight rebuild settles (debounced), return the verdict + a noise-free summary — the deterministic way to verify after an edit
restart	project?	restart, wait for the rebuild, return the verdict + summary
stop	project?	stop the ng child (frees the port); stays registered
start	project?	start if stopped; waits for the build
tail	project?, lines?, summary?, sinceSeq?, grep?	last N log lines (0 = whole buffer); summary drops the chunk table + vite ws-proxy noise, sinceSeq scopes to one rebuild, grep filters by substring
set_log_lines	count, project?	change how many log lines are kept (0 = unlimited)
shutdown	—	tear down the whole stack — stop every running frontend (freeing their ports) and then the hub. Same as the ky-ai-ng shutdown CLI command and POST/GET /shutdown. To stop just one app, stop its process in your IDE.

Verifying an edit

Call wait_for_build — it blocks until the rebuild that includes your change settles (debouncing rapid multi-file saves) and returns the verdict. The verdict carries:

• errors/warnings counts, errorLines/warningLines (raw), and structured diagnostics ({severity, file, line, col, message, raw}) so you can jump straight to a fix — raw is always kept when a line doesn't parse.
• settledBy — the verbatim ng line it matched to decide success/failed (its timestamp, if any, is the dev server's own — not one ky-ai-ng emits).
• filesInLastBuild + lastChangeAt — the source files this build incorporated, so you can confirm your edit is reflected rather than rebuilding to be sure.
• a summary alongside the verdict — the build's trigger/error/warning/settle lines only, with the esbuild chunk-size table and [vite] ws proxy error spam dropped (the same filtering tail's summary=true applies).

status also exposes building (a rebuild is running) and pending (a saved change the latest build hasn't incorporated yet) if you'd rather poll. Stored log lines are ANSI-stripped and all ky-ai-ng-emitted timestamps are ISO-8601 with offset.

When to restart: ng serve hot-reloads code, so restart only for changes it doesn't pick up — angular.json / proxy / tsconfig paths, new dependencies — or a wedged server.

Example list payload

Compact by default — the headline per frontend:

{ "frontends": [
  { "name": "MyApp", "running": true, "pid": 4242,
    "build": { "status": "success", "errors": 0, "warnings": 1, "building": false, "pending": false } }
] }

With detail=true (or status with no project) each entry instead carries controlUrl and the full /status clone — durationMs, diagnostics, filesInLastBuild, log paths, timestamps.

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Files (internals)

This project is the thin Angular seam; the hub, supervisor, rolling log, build tracker and MCP tool surface all live in the shared KY.AI.Serve library.

• Program.cs — arg parsing (serve / run / nx / shutdown / init / update / one-shot) and the Angular SupervisorConfig / HubConfig: CLI resolution (node_modules\@angular\cli, node_modules\nx), the npm-script and nx-target runners, watched extensions, port and names.
• NgBuildMatcher.cs — maps ng/esbuild output lines to build-start / settle / error / warning verdicts and parses esbuild's two-line diagnostics into {severity, file, line, col, message}.
• NgIndexResolver.cs — resolves the app's index.html (incl. angular.json custom-index) for the ky-ai-browser inject.

In KY.AI.Serve (shared): HubHost · Hub · HubTools (incl. shutdown) · SupervisorHost · DevServer · RollingLog · BuildTracker · InitCommand · UpdateCommand · JobObject · Ansi.