SpeechWeave

Name: SpeechWeave
Author: speechweave

by speechweaveversion 1.10.0i★ –iRuns on your computer

Registry nameio.github.speechweave/mcp

Install

Overview

Description from the maker (original English)

Transcribe local files and URLs with SpeechWeave's OpenAI-compatible Speech-to-Text API.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Design, images & audio
You need to fill in: SPEECHWEAVE_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: SPEECHWEAVE_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "speechweave": {
      "command": "npx",
      "args": [
        "-y",
        "@speechweave/mcp"
      ],
      "env": {
        "SPEECHWEAVE_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add speechweave --env SPEECHWEAVE_API_KEY=your-value -- npx -y @speechweave/mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "speechweave": {
      "command": "npx",
      "args": [
        "-y",
        "@speechweave/mcp"
      ],
      "env": {
        "SPEECHWEAVE_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "speechweave": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@speechweave/mcp"
      ],
      "env": {
        "SPEECHWEAVE_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

SPEECHWEAVE_API_KEY secret required env
SpeechWeave API key (sk_live_...)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account speechweave, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

More stars than 0% of the other 2180 servers in this category
Published to the registry more recently than 67% of the other 2180 servers in this category
Basic checks equal to or better than 100% of the other 2180 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is SpeechWeave safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: SPEECHWEAVE_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.10.0) reached the registry 16 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

@speechweave/mcp

Official Model Context Protocol server for SpeechWeave. Use to transcribe local files and URLs from Cursor, Claude Desktop, Claude Code, Windsurf, and other MCP clients.

SpeechWeave handles short clips and long-form audio without client-side chunking. This MCP server exposes both sync tools (the transcript comes back in the same tool call) and async tools (start a job, then poll for status).

Docs: speechweave.com/docs/mcp · API reference

Install / run

Requires Node.js 18+ and a SpeechWeave API key (sk_live_…).

export SPEECHWEAVE_API_KEY="sk_live_..."

npx -y @speechweave/mcp

Cursor / Claude Desktop

Add to your MCP config (e.g. .cursor/mcp.json, claude_desktop_config.json):

"mcpServers": { "speechweave": { "command": "npx", "args": ["-y", "@speechweave/mcp"], "env": { "SPEECHWEAVE_API_KEY": "sk_live_..." } } } }

Claude Code

claude mcp add speechweave --env SPEECHWEAVE_API_KEY=sk_live_... -- npx -y @speechweave/mcp

Tools

Tool	Delivery	When to use
`transcribe_file`	sync	Absolute local path. Returns the transcript in this call
`transcribe_url`	sync	Public HTTPS URL. Returns the transcript in this call
`start_job_file`	async	Absolute local path. Returns `job_id` immediately
`start_job_url`	async	Public HTTPS URL. Returns `job_id` immediately
`get_job_status`	async	Poll status / transcript for a job id
`cancel_job`	n/a	Cancel a queued or processing job
`get_limits`	n/a	Upload size ceilings for your API key
`fetch_doc`	n/a	Public docs by slug (bundled pages + live OpenAPI)

Delivery (sync or async) is separate from service_mode (standard or deferred). Either service mode works with either delivery.

Never pass raw audio bytes over MCP. Use absolute file paths (local clients) or HTTPS URLs.

Configuration & Arguments

All transcription and job-start tools accept the following optional arguments:

model: Choose core (default) or max.
service_mode: Choose standard (default) or deferred (lower cost, lower priority).
language: Optional ISO language code to force language detection.
task: Choose transcribe (default) or translate to produce an English translation instead. language is ignored when translating.
prompt: Optional custom vocabulary hint (proper nouns, acronyms, product names) for the first ~30s of audio.

Formatted transcripts: transcribe_file, transcribe_url, and get_job_status also accept an optional response_format (text, srt, vtt, or verbose_json) to return the transcript in that shape instead of the default plain text.

Saving to a file: transcribe_file, transcribe_url, and get_job_status accept output_file (an absolute path). The transcript is written there instead of being returned, so long transcripts stay out of the conversation. The result includes output_file and bytes_written. The path must end in .txt, .md, .json, .srt, or .vtt and cannot be inside a hidden folder. The parent folder must exist, and an existing file is only replaced when overwrite is true. With response_format: "verbose_json" the file holds the text plus segment timings as JSON.

Billing errors: a 402 comes back as a tool error with code and a hint. USER_SPEND_CAP_REACHED (raise your spend cap), PLATFORM_SPEND_CAP_REACHED (monthly account limit, request an increase), and INSUFFICIENT_BALANCE or WALLET_EMPTY (top up) all need a change on the account first, so the hint tells the assistant not to retry.

Timeout behavior: Sync tools accept an optional timeout_ms. If the transcription exceeds the timeout, the tool gracefully returns a job_id and instructs the client to switch to get_job_status polling.

Account limits and docs

get_limits: Returns GET /v1/limits for the calling key, with MB equivalents. Use before uploading large local files.
fetch_doc: Returns public documentation. Slug list shows the catalog. Bundled pages include quickstart, mcp, models, billing, and data_retention. Slug api fetches a live OpenAPI overview, and api/ returns one endpoint (e.g. api/get_v1_limits).

Example Prompts

After adding the server and restarting your client, try asking your AI assistant:

Short clip (sync)

"Use SpeechWeave to transcribe /Users/me/recordings/standup.mp3 and summarize action items."

*The assistant will call transcribe_file with the absolute path and summarize the returned transcript.*

Long podcast (async)

"Start a SpeechWeave job for https://cdn.example.com/three_hour_podcast.mp3, then check back until it completes."

*The assistant will call start_job_url, then periodically call get_job_status until the status reaches completed.*

Translate to subtitles (sync)

"Translate /Users/me/recordings/spanish_interview.mp3 into English SRT subtitles using SpeechWeave."

*The assistant will call transcribe_file with task: "translate" and response_format: "srt".*

SpeechWeave

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Design, images & audioi

Common questions

Alternatives

Figma Context MCP

Claude Real Video

Figma MCP Server

README from the maker

@speechweave/mcp

Install / run

Cursor / Claude Desktop

Claude Code

Tools

Configuration & Arguments

Account limits and docs

Example Prompts

Short clip (sync)

Long podcast (async)

Translate to subtitles (sync)