MCP For Claude Marketplace
Speechnotes

Speechnotes MCP Connector for Claude

A+

Transcribe audio files, manage transcription jobs, and export text on Speechnotes with AI agents.

12 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

Connect your Speechnotes account to any AI agent to automate your professional audio transcription and speech-to-text orchestration. Speechnotes provides a high-accuracy AI engine for converting audio files into text, and this integration allows you to initiate transcription jobs from URLs, monitor progress, and export results through natural conversation.

What you can do

  • Transcription Orchestration — Initiate new transcription jobs from audio URLs and retrieve real-time status updates programmatically.
  • Job & History Lifecycle Management — List all past transcription jobs and retrieve detailed metadata, including timestamps and speaker counts directly from the AI interface.
  • Export & Format Control — Retrieve transcribed text in multiple formats (TXT, DOCX, SRT) and manage file exports via simple AI commands.
  • Language & Model Intelligence — Access available transcription languages and AI models to ensure your results are optimized for your specific content.
  • Operational Monitoring — Check your account credits, monitor usage statistics, and manage webhooks to ensure your transcription pipeline is always synchronized.

How it works

  1. Subscribe to this server
  2. Enter your Speechnotes API Key and API Secret from your developer dashboard
  3. Start generating high-accuracy transcriptions from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Journalists & Content Creators — quickly transcribe interviews and podcasts without switching apps.
  • Researchers — automate the retrieval of meeting transcriptions and monitor processing progress via natural conversation.
  • Operations Teams — streamline the export of transcribed text and monitor account credits directly within the chat.
transcriptionspeech-to-textaudio-processingtext-exportai-transcription

12 tools expose this connector's capabilities to your AI agent.

remove_transcription_job

Delete job record

get_remaining_credits

Check account balance

get_transcription_export

Export result format

list_transcription_models

Get engine models

generate_webhook_signature

Sign payload

get_transcription_status

Check job progress

get_usage_statistics

Check usage logs

list_transcription_history

List past jobs

list_supported_languages

Get language codes

list_configured_webhooks

Get delivery endpoints

test_speechnotes_auth

Check connection

transcribe_audio_url

Transcribe remote file

See how to talk to your AI agent using Speechnotes.

Transcribe the audio file at this URL: 'https://example.com/interview.mp3'.

Transcription job started! I've triggered the process for your audio file. You can check the status using the provided Job ID: SN-789.

Transcribe the latest team meeting recording and generate a summary with action items.

Transcription complete. Meeting: "Engineering Weekly" (47 minutes, 6 participants). Accuracy: 96.2%. Summary: Sprint 13 review (8 stories completed, 2 carried over), API performance discussion (latency reduced 30%), new hire onboarding plan, Q3 roadmap preview. Action items: 1) Sarah: fix authentication bug by Friday. 2) James: prepare load testing plan by Monday. 3) Alex: schedule architecture review for database migration. 4) Lisa: update API documentation for v3 endpoints. 5) David: onboard new engineer (start date May 19). Word count: 5,670. Speakers identified: 6.

Show me all transcriptions from the past week with their word counts and language detection.

12 transcriptions last week. Total audio processed: 8.4 hours. Languages: English (9), Spanish (2), Portuguese (1). Longest: "Board Meeting" (2h 15m, 14,500 words). Shortest: "Quick Standup" (8 min, 890 words). Average accuracy: 95.8%. "Sales Call - Meridian" (45 min, 4,200 words, EN). "Customer Interview" (30 min, 3,100 words, EN). "Marketing Brainstorm" (1h, 6,800 words, EN). "Team Retrospective" (35 min, 3,600 words, EN). 5 additional transcriptions. Storage used: 234 MB. Export formats available: TXT, SRT, VTT, DOCX.

Log in to your Speechnotes account and navigate to the API or developer section in your dashboard to find your unique API Key and API Secret.

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