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Transcribe audio files to text with speaker separation

MCP server connecting AI assistants to Transcribe.com for audio-to-text conversion and transcription management.

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Works with transcribeclaudewindsurfcursor
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69
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out of 100
Updated 7 months ago
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Source checked Oct 5, 2026
Version 1.0.5
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Why it matters

Convert audio recordings and voice notes into accurate text transcriptions with word-level timestamps and speaker identification across 100+ languages, enabling AI assistants to process and analyze spoken content automatically.

Outcomes

What it gets done

01

Upload local audio files or URLs and receive transcribed text in seconds

02

Separate speakers and add word-level timestamps to transcriptions

03

Search and retrieve existing transcriptions with filtering options

04

Manage transcription library by renaming or deleting files

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/mcp-transcribe | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

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Overview

A Model Context Protocol server connecting an AI assistant to Transcribe.com for audio-to-text conversion (local files or URLs) with timestamps and speaker separation, plus tools to check credit balance and manage existing transcriptions. Use it to transcribe audio and manage transcriptions from a Transcribe.com account; transcription consumes paid time credits, and the private integration URL should be kept secret.

What it does

Transcribe MCP connects an AI assistant to a Transcribe.com account for automated audio transcription, via a local server that can also transcribe local files (not just URLs) and return the result in seconds. It supports over 100 languages, word-level timestamps, and speaker separation, and handles noisy audio without requiring the caller to run or configure any ASR models locally. Four tools are exposed: convert-to-text converts audio to text and returns it immediately, consuming the account's time credits (the remote server requires a publicly accessible URL, while the local server also accepts a local file path); get-balance returns the account's remaining time-credit balance; read-transcriptions retrieves the content of already-completed transcriptions with optional filtering/search; and update-transcription renames or deletes a transcription in the account. Both a hosted (remote-URL) and local server mode exist, with team collaboration supported through Transcribe.com's teams feature, and cloud storage available for audio notes and records so transcriptions aren't tied to a single device.

When to use - and when NOT to

Use it when an AI assistant needs to transcribe audio - from a local file or a public URL - directly into a conversation, check remaining time-credit balance before running more transcriptions, or manage (search, rename, delete) previously completed transcriptions in a Transcribe.com account. It requires a Transcribe.com account and a private MCP integration URL, which should be kept secret since it grants automation access to the account; convert-to-text consumes paid time credits, so it is not free to run repeatedly.

Capabilities

  • convert-to-text - transcribe audio to text immediately (local file path or public URL; uses time credits)
  • get-balance - check remaining account time-credit balance
  • read-transcriptions - retrieve completed transcriptions with optional filtering/search
  • update-transcription - rename or delete a transcription
  • 100+ languages, word-level timestamps, speaker separation, cloud storage for audio notes

How to install

Get a private MCP integration URL from the Transcribe.com online editor's Automation popup. For Claude Desktop, download the pre-built MCPB bundle and double-click to install, or add it manually via Settings → Extensions, then paste the integration URL when prompted. For other assistants, add a local server entry:

{
  "command": "npx",
  "args": ["-y", "github:transcribe-app/mcp-transcribe"],
  "env": { "MCP_INTEGRATION_URL": "<your-MCP-integration-URL>" }
}

Requires Node.js and npx.

Who it's for

Users of Transcribe.com who want an AI assistant to transcribe local or remote audio files, check their credit balance, and manage existing transcriptions without leaving the chat.

Source README

Transcribe MCP

About

Transcribe MCP instantly connects your account to assistants like Claude, Windsurf, Cursor, and more so they can automate tasks on your behalf. The Local Server can add local files for transcription and return result to your Assistant in seconds.

Features

  • ⚡ Fast, lightweight and LLM-friendly. No special ASR models needed, no setup and fighting python packages, results in seconds.
  • 🏆 High-quality transcriptions. Works with noisy audio, over 100 languages supported, featuring word-level timestamps and speaker separation.
  • 🔋 Wide variety of formats out-of-the-box and Cloud storage for your audio notes and records.
  • 👥 Collaboration support via Transcribe.com teams feature

🚀 Local installation: Claude Desktop

🔹 Get your private MCP integration URL

  • Sign in to the Transcribe online editor
  • Copy your private URL from Automation popup

🔹 Download pre-built MCP Bundle (MCPB): Click Here

📦 The MCPB includes:

  • ✅ One-click installation in Claude Desktop
  • ✅ Secure environment variable configuration
  • ✅ Automatic dependency management
  • ✅ Built-in error handling and debugging
  • ✅ The MCPB file is automatically updated for the latest features and fixes
Option 1: Double-Click Installation (Recommended)
  • Double-click the .mcpb file
  • Claude Desktop will automatically install the extension
  • Follow the configuration prompts
Option 2: Manual Installation
  • Open Claude Desktop
  • Go to Settings → Extensions
  • Click "Install Extension" and select the .mcpb file
Configuration

During installation, you'll be prompted to configure MCP integration URL. Paste your private URL.

🚀 Local installation: Other assistants

🔹 Get your private MCP integration URL

  • Sign in to the Transcribe online editor
  • Copy your private URL from Automation popup

🔹 Before installing the server, ensure you have Node.js and Git

  • Download from: https://nodejs.org/
  • Verify Node with: node --version
  • Verify NPX with: npx --version

🔹 Add Local Server via your assistant settings and use this snippet for server setup:

{
  "key": "transcribe-local",
  "command": "npx",
  "args": [
    "args": ["-y", "github:transcribe-app/mcp-transcribe"],
  ],
  "env": {
    "MCP_INTEGRATION_URL": "<your-MCP-integration-URL>"
  }
}
Configuration

Replace <your-MCP-integration-URL> with your private URL.

⚡ Available Tools

List of tools is expanded with each new version.

1. convert-to-text: converts audio to text and returns the text immediately.

  • Note: This tool use your time credits.
  • Note: Remote server expect public-accessible URL, Local Server can use both URL and a path to local file in your file system.

2. get-balance: returns balance of your account.

3. read-transcriptions: returns content of ready transcriptions with optional filtering/search.

4. update-transcription: renames or deletes transcriptions in your account at Transcribe.com

💡 Security Notes

  • Private URL: Store your private URL securely, do not share it with others

⚠️ Troubleshooting

"MCP_INTEGRATION_URL environment variable is required"
  • Sign in to the Transcribe online editor
  • Copy your private URL from Automation popup
  • Add it as server's "MCP_INTEGRATION_URL" environment variable in your AI assistant settings
Extension Won't Install
  • Ensure you have the latest Claude Desktop version
  • Check that node is installed and in your PATH

FAQ

Common questions

Discussion

Questions & comments · 0

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