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Transcribe local files and URLs with SpeechWeave's OpenAI-compatible API.
About
Transcribe local files and URLs with SpeechWeave's OpenAI-compatible API.
Security Report
This is a well-structured MCP server for SpeechWeave transcription with solid security practices. The code implements proper authentication via API keys, validates input (paths, URLs, schemas), and avoids dangerous patterns. Permissions are appropriately scoped to the server's purpose (network calls to SpeechWeave API, local file reading, environment variable access). Minor code quality observations around error handling and logging do not meaningfully impact security. Supply chain analysis found 2 known vulnerabilities in dependencies (2 critical, 0 high severity). Package verification found 1 issue.
7 files analyzed · 6 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: SPEECHWEAVE_API_KEY
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-speechweave-mcp": {
"env": {
"SPEECHWEAVE_API_KEY": "your-speechweave-api-key-here"
},
"args": [
"-y",
"@speechweave/mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
@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 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/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 |
|---|---|---|
transcribe_file | Wait-first | Absolute local path; wait until transcript is ready |
transcribe_url | Wait-first | Public HTTPS URL; wait until transcript is ready |
start_job_file | Async | Absolute local path; return job_id immediately |
start_job_url | Async | Public HTTPS URL; return job_id immediately |
get_job_status | Poll | Fetch status / transcript for a job id |
cancel_job | Control | Cancel a queued or processing job |
get_limits | Info | Upload size ceilings for your API key |
fetch_doc | Info | Public docs by slug (bundled pages + live OpenAPI) |
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: Choosecore(default) ormax.service_mode: Choosestandard(default) ordeferredfor the background queue.synchronousis accepted as an alias forstandard.language: Optional ISO language code to force language detection.task: Choosetranscribe(default) ortranslateto produce an English translation instead;languageis 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.
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.
Account limits and docs
get_limits: ReturnsGET /v1/limitsfor the calling key, with MB equivalents. Use before uploading large local files.fetch_doc: Returns public documentation. Sluglistshows the catalog. Bundled pages includequickstart,mcp,models,billing, anddata_retention. Slugapifetches a live OpenAPI overview;api/<operation_slug>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 (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.
Translate to subtitles (wait-first)
"Translate
/Users/me/recordings/spanish_interview.mp3into English SRT subtitles using SpeechWeave."
The assistant will call transcribe_file with task: "translate" and response_format: "srt".
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