Node.js/TypeScript MCP server for Atlassian Confluence. Provides tools enabling AI systems (LLMs) to list/get spaces & pages (content
Speakeroo speaking coach is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
AI speaking coach: feedback on speeches from text or audio, plus topics, pronunciation and rubrics.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http speakeroo-speaking-coach-mcp https://mcp.speakeroo.app/mcp
# 2 — ask your agent for something these tools do
# analyze_transcript, refine_transcript, analyze_speech and 4 more
Speakeroo speaking coach costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http speakeroo-speaking-coach-mcp https://mcp.speakeroo.app/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
7 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
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 analyse
| Parameter | Type | Required | Notes |
|---|---|---|---|
| transcript | string | yes | What was said, as plain text: 30-1500 words. Paste a speech transcript or a draft you plan to say out loud. |
| context | string | no | What the speech is for, so the feedback is calibrated to it. Defaults to general. |
| topic | string | no | The question or prompt being answered, e.g. an IELTS cue card or interview question |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| transcript | string | yes | What was said, as plain text: 30-1500 words. Paste a speech transcript or a draft you plan to say out loud. |
| context | string | no | What the speech is for, so the feedback is calibrated to it. Defaults to general. |
| topic | string | no | The question or prompt being answered, e.g. an IELTS cue card or interview question |
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 audi
| Parameter | Type | Required | Notes |
|---|---|---|---|
| audioBase64 | string | no | The recording as base64 (a data: URL prefix is fine). Use this or audioUrl. |
| audioUrl | string | no | A public https link to the recording. Use this or audioBase64. |
| mimeType | string | no | The audio type when it cannot be sniffed from the bytes, e.g. audio/mpeg |
| context | string | no | What the speech is for, so the feedback is calibrated to it. Defaults to general. |
| topic | string | no | The question or prompt being answered, e.g. an IELTS cue card or interview question |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| category | string | yes | — |
| count | integer | no | How many topics, default 10 |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| word | string | yes | — |
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.
No parameter schema on file.
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.
No parameter schema on file.
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Speakeroo speaking coach or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.0.0.
No release note was published with this version.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish Speakeroo speaking coach can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.