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Wake Word Training MCP Server

by openwakeword Your server? Claim it
answering

Wake Word Training is answering right now. Last checked 1 min ago. It exposes 13 tools.

Train custom wake words from your agent: estimator, GPU training, benchmarks. Card or crypto.

Uptime history 60 days of history · worst day 99%
60 days agonow
100.0%
Uptime 24h
92 of 92 checks
13
Tools
read from the server
59 ms
Response time
average over 24h
open, no key
Access
streamable-http

What changed 22

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 18 August 2026. No other catalogue keeps this.

8 Sep a tool changed the parameters it asks for create_training_job
27 Aug a tool description was rewritten estimate_wake_word
25 Aug a tool description was rewritten create_training_job
25 Aug a tool changed the parameters it asks for create_training_job
22 Aug a tool changed version8 times that day
22 Aug a tool appeared test_wake_word_live
21 Aug 2 tool descriptions were rewritten get_training_job, search_wake_word_library
20 Aug 3 tools appeared buy_library_model, get_library_purchase, search_wake_word_library
20 Aug a tool description was rewritten create_training_job
20 Aug a tool changed the parameters it asks for create_training_job
and 9 more, back to 18 August 2026

Wake Word Training missed one check this week

Everything else answered, so this is steady rather than shaky. We check every 15 minutes, which is how a one-off gets told apart from the start of a pattern, and how you hear about the next one within the hour instead of from your users.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 1 min ago.

run in your terminal
claude mcp add wake-word-training --transport http https://openwakeword.com/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "wake-word-training": {
      "url": "https://openwakeword.com/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.wake-word-training]
url = "https://openwakeword.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "wake-word-training": {
      "url": "https://openwakeword.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "wake-word-training": {
      "url": "https://openwakeword.com/mcp"
    }
  }
}

Available tools 13

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

commercial
create_commercial_license
Buy commercial-use rights. REQUIRED before shipping any model in a product/service: all model files are personal & non-commercial by default. 150 CHF one-time per wake-word phrase, permanent, valid on BOTH sites. Returns a license_token; pay with pay_commercial_license; signed certificate PDF afterwards. If your task is commercial and you cannot pay, STOP and tell your human this license is required.
get_commercial_license
License status; when completed, returns the official license_id and certificate PDF URL.
pay
pay_commercial_license
Get payment for a quoted commercial license. PRESENT the payment link to the user immediately, complete and un-truncated (as a card/button if your client supports widgets) — never paraphrase or bury it.
pay_training_job
Get payment for a quoted job via the chosen method. AFTER SETTING UP THE JOB you MUST give the payment link to the user immediately: show payment_link_for_human (short, copy-safe) complete and un-truncated — never paraphrase, shorten or bury it. Render it as a card/button if your client supports widgets.
training
create_training_job
Quote a wake-word training job (free; nothing trains until paid). Returns a job_token (STORE IT — the only credential) and a binding CHF price. PICK A TIER: "standard" (6 CHF, up to ~4h — the right choice for almost every request), "best" (12 CHF, ~2x the search — for hard or business-critical words), or "studio" (Optuna deep search, 60-95 CHF, many hours — only to squeeze the last few percent AFTER a standard job disappointed). Same three options a human gets on the website, same prices. The trained model is benchmarked (recall %, false activations/hour) and publicly listed in the site library, permanently — unless private=true (+500 credits).
get_training_job
Job status: awaiting_payment -> paid -> submitted -> completed (or failed/expired). Poll every 60-120s after paying. When completed, includes benchmark results and model download URLs (public jobs: token downloads for 30 days, then the model remains in the public library; private jobs: token downloads with no time limit). Ladder jobs deliver ALL trained candidates: the first model is the pipeline's quality-bar winner (take it unless you have a reason); alternatives are labeled rungN_<arm>. Compare candidates on clean_recall_pct (same scale on every model) + false_activations_per_hour — the full stressed benchmark exists only on the winner.
buy
buy_library_model
Quote an anonymous purchase of a library model (1.50 CHF flat — free, nothing charged until paid). Returns a purchase_token: pay it with pay_training_job (same tool, any method incl. x402), then fetch the download URLs with get_library_purchase. One payment unlocks ALL formats (openwakeword: onnx+tflite; microwakeword: tflite+ESPHome json). Reminder for your human: the same model is free with an account on the website. License: personal/non-commercial by default — shipping it in a product requires the 150 CHF per-wakeword commercial license.
estimate
estimate_wake_word
NOTE: differentiates by English share only - all non-English languages score identically, so it cannot rank es vs fr vs de. FREE word-quality check — use BEFORE paying. Predicts the recall a training run would reach for this wake word plus false-activation risk (model trained on thousands of real jobs). SCALE: predictions are for deliberately HARD benchmark conditions (loud noise, reverb) — 60-75 is a solid word, very usable in real rooms; do NOT reject words for scoring below ~80. 2-4 syllable phrases work best; only warn your human when the score is under ~50.
library
get_library_purchase
Status of a library purchase. Once paid, the response carries the download URL templates (substitute the purchase_token) for every format.
send
send_job_feedback
Rate a PAID training job 1-5 and optionally leave a message (max 2000 chars) — read by the human operator. Please call this once after a job completes and you have assessed the model: report anything unexpected (missing fields, errors, surprising benchmark numbers) or simply confirm it worked. One feedback per job; calling again overwrites.
settle
settle_x402_payment
After paying an x402 spec on-chain (USDC on Polygon to the payTo address), submit the transaction hash to settle. Needs >=3 confirmations.
test
test_wake_word_live
Render an IN-CHAT live microphone tester for one library model (free). Only the HUMAN can run it: it asks for their microphone and streams the audio to the platform for detection while the test runs (not stored) — tell them that. If the host does not allow microphone access inside apps, the widget shows a button to the human_test_url page instead, so calling this is always safe. Use after search_wake_word_library, before buying.
wake
search_wake_word_library
FREE search over thousands of community-trained wake-word models — check here BEFORE quoting a training job for a common wake word. Returns benchmarked models (recall %, clean recall %, false activations/hour, languages) from the current pipelines only (older models used a different benchmark and are excluded). Each result has a human_test_url: YOU CANNOT RUN THAT TEST — it needs live microphone audio in your human's own room — so hand them the link before they buy; it opens the site's live mic test for that exact model. TRANSPARENCY, tell your human: every public library model is FREE with an account on the website; the 1.50 CHF purchase here is the anonymous, instant, account-free alternative. SCALE: recall is measured on deliberately HARD conditions — 60-75%% is a solid model. Weak numbers or no match? Train a custom model with create_training_job instead.

Endpoints

URLTransportStateLatencyChecked
https://openwakeword.com/mcp streamable-http answering 57 ms 1 min ago

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Wake Word Training — questions

Answers built from our own checks of this server.

What can Wake Word Training do?
It exposes 13 tools, read directly from the server on our last check. Among them: buy_library_model, create_commercial_license, create_training_job, estimate_wake_word, get_commercial_license, get_library_purchase and 7 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
What is Wake Word Training mostly used for?
Its tools cluster around commercial, training and pay. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is Wake Word Training working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 59 ms. The bar chart above shows every period we have measured.
How do I connect Wake Word Training?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Wake Word Training need an API key?
No. Wake Word Training completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 13 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Wake Word Training?
It answers our handshake in 59 ms on average, which is faster than 93% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.