# AI Transcription MCP Server (`szoni/apify-transcribe-mcp`) Actor

Transcribe speech to text from any audio or video URL via MCP — Whisper large-v3, Deepgram Nova 3, NVIDIA Parakeet and more. Pay per minute, no provider account or API key needed. Ready for Claude, Cursor and other AI agents.

- **URL**: https://apify.com/szoni/apify-transcribe-mcp.md
- **Developed by:** [Szoni](https://apify.com/szoni) (community)
- **Categories:** AI, Automation, MCP servers
- **Stats:** 2 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 transcription credits

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## 📝 AI Transcription MCP Server

An MCP server that gives AI agents (Claude, ChatGPT, Cursor, etc.) accurate speech-to-text —
transcribe any public audio or video URL. No transcription-provider account or API key required.

### Quick Start

1. Connect any MCP-compatible AI agent to this Actor (Standby mode).
2. Call `list_models` to see the available models.
3. Call `transcribe` with a public audio/video URL.

### MCP Tools

#### `transcribe`

Transcribe speech from a public audio or video URL.

**Parameters:**

- `audio_url` (required) — Public URL of the audio/video file
- `model` — Model ID (see `list_models`; a strong default is used if omitted)
- `language` — Optional ISO language code (e.g. `en`) to hint transcription

Returns the transcript text plus a stored transcript URL.

#### `list_models`

List available speech-to-text models with pricing.

### Pricing

Pay-per-event, per minute of audio. The price depends on the audio duration; see `list_models`
for the per-minute rate.

### Integration

Works with any MCP-compatible client: Claude Desktop, ChatGPT, Cursor, LangChain, OpenAI
Agents SDK, n8n, Make / Zapier — via the Apify MCP integration.

### Support

For issues or feature requests, contact the developer through Apify.

# Actor input Schema

## Actor input object example

```json
{}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("szoni/apify-transcribe-mcp").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("szoni/apify-transcribe-mcp").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call szoni/apify-transcribe-mcp --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=szoni/apify-transcribe-mcp",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/YhgSNMYwMaBlQw75M/builds/8H7sou7n6FUkl4S0R/openapi.json