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Speakeroo speaking coach MCP Server

by speakeroo Your server? Claim it
answering

Speakeroo speaking coach is answering right now. Last checked 3 min ago. It exposes 7 tools. Last commit 21 Oct 2026.

AI speaking coach: feedback on speeches from text or audio, plus topics, pronunciation and rubrics.

Uptime history 17 days of history · worst day 98%
17 days agonow
100.0%
Uptime 24h
91 of 91 checks
7
Tools
read from the server
576 ms
Response time
average over 24h
0
Stars
last commit 21 Oct 2026

What changed 1

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 21 October 2026. No other catalogue keeps this.

21 Oct a tool changed version

Speakeroo speaking coach missed 2 checks 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 3 min ago.

run in your terminal
claude mcp add speaking-coach --transport http https://mcp.speakeroo.app/mcp
Settings → Connectors → Add custom connector, then paste this address
https://mcp.speakeroo.app/mcp
~/.codex/config.toml
[mcp_servers.speaking-coach]
url = "https://mcp.speakeroo.app/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "speaking-coach": {
      "url": "https://mcp.speakeroo.app/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "speaking-coach": {
      "type": "http",
      "url": "https://mcp.speakeroo.app/mcp"
    }
  }
}

Available tools 7

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

analyze
analyze_speech
Analyze a spoken recording: it is transcribed, then returns everything analyze_transcript does plus delivery metrics only audio can give: words per minute, pace, pauses per minute, filler rate, pitch (median and range) and vocal expression, and pacing, pronunciation and engagement scores. Limits: up to 120 seconds and 10 MB; mp3, m4a/mp4, wav, webm, ogg or flac; at least 30 spoken words. Pass audioUrl (public https) or audioBase64. Free: 1 analysis a day per network; a try that fails on our side does not count, up to 3 tries a day. Audio is deleted once the response is sent.
analyze_transcript
Coach a speech from its text. Returns weak and filler words with firmer alternatives, rhetorical devices, delivery and rhetoric feedback, grammar/vocabulary/coherence scores (1-10) on the Speakeroo rubric, and word-level issues with the excerpt and a fix. Input: 30-1500 words. Text cannot show pace, pauses, pitch or pronunciation; use analyze_speech with a recording for those. Free, 5 text analyses a day per network, shared with refine_transcript.
filler
list_filler_words
The common filler words in spoken English grouped by what they do, and the steps to stop using them. Links to the guide on speakeroo.app, which has a free filler word tracker.
how
how_to_pronounce
How to pronounce an English word Speakeroo has a guide for: IPA, a plain respelling, syllables with the stressed one, sound tips, a note on the usual mistake and two example sentences. Links to the guide, where you can record yourself and get a pronunciation check.
refine
refine_transcript
Rewrite a speech into a clear structure (PREP, STAR, problem-solution, rule of three and others) chosen to fit it. Returns the rewritten sections, the structure with a 1-10 score for how well the original already followed it, a summary of what changed and one delivery tip. Input: 30-1500 words. Shares the daily text allowance with analyze_transcript.
speaking
get_speaking_rubric
A four-level speaking rubric teachers use for speaking homework: fluency, pronunciation, vocabulary range and task completion, with a descriptor for every level. Links to the page with a CSV download. analyze_transcript and analyze_speech score on Speakeroo's own 1-10 rubric.
speech
get_speech_topics
Random speech topics to practise with: impromptu, persuasive, informative, presentation, IELTS Speaking Part 1 questions or Part 2 cue cards. Each result links to the full list on speakeroo.app, where every topic opens a timed practice session.

Endpoints

URLTransportStateLatencyChecked
https://mcp.speakeroo.app/mcp streamable-http answering 606 ms 3 min ago

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Speakeroo speaking coach — questions

Answers built from our own checks of this server.

What can Speakeroo speaking coach do?
It exposes 7 tools, read directly from the server on our last check. Among them: analyze_speech, analyze_transcript, get_speaking_rubric, get_speech_topics, how_to_pronounce, list_filler_words and 1 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 →
Is Speakeroo speaking coach working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 576 ms. The bar chart above shows every period we have measured.
How do I connect Speakeroo speaking coach?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Speakeroo speaking coach need an API key?
No. Speakeroo speaking coach completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 7 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Speakeroo speaking coach?
It answers our handshake in 576 ms on average, which is faster than 20% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Speakeroo speaking coach open source?
We cannot say either way: 0 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.