@speechweave/mcp
OfficialClick on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@@speechweave/mcpTranscribe /Users/me/recordings/standup.mp3"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
@speechweave/mcp
Official Model Context Protocol server for SpeechWeave. Use to transcribe local files and URLs from Cursor, Claude Desktop, LM Studio, and other MCP clients.
SpeechWeave handles short clips and long-form audio without client-side chunking. This MCP server exposes both wait-first tools (get a transcript in one turn) and async create + poll tools (start a job, then check 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/mcpRelated MCP server: whisper-transcribe-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_..."
}
}
}
}Tools
Tool | Mode | When to use |
| Wait-first | Absolute local path; wait until transcript is ready |
| Wait-first | Public HTTPS URL; wait until transcript is ready |
| Async | Absolute local path; return |
| Async | Public HTTPS URL; return |
| Poll | Fetch status / transcript for a job id |
| Control | Cancel a queued or processing job |
Never pass raw audio bytes over MCP. Use absolute file paths (local clients) or HTTPS URLs.
Configuration & Arguments
All transcription tools accept the following optional arguments:
model: Choosecore(default) ormax.service_mode: Choosedeferred(default) orsynchronous.language: Optional ISO language code to force language detection.
Timeout behavior: Wait-first 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.
Example Prompts
After adding the server and restarting your client, try asking your AI assistant:
Short clip (wait-first)
"Use SpeechWeave to transcribe
/Users/me/recordings/standup.mp3and summarize action items."
The assistant will call transcribe_file with the absolute path and summarize the returned transcript.
Long podcast (async + poll)
"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.
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