PodcastsToText

com.podcaststotextv2.2.0Updated Oct 3, 2026

Transcribe podcasts, YouTube and audio, then make show notes, chapters and translations.

VerifiedStreamable HTTPWeb executableAI & MLMedia & Design

Overview

AI-generated overview

Lets an assistant transcribe podcasts, YouTube videos and audio files, then produce show notes, chapters and translations.

What it does
This remote MCP server handles audio and video transcription: it takes podcast episodes, YouTube links or audio files and returns text transcripts. From that transcript it can also generate show notes, chapter markers and translations. It is reached over a streamable HTTP endpoint rather than installed locally.
When to use it
Worth adding when you regularly work with spoken-word content and want an assistant to turn episodes or videos into readable text, summaries, chapter lists or translated versions without a separate transcription tool.
Requirements
A remote MCP client that supports streamable HTTP, pointed at the provider's endpoint. No local runtime, package, environment variable or header is declared, and no authentication is declared. Network access to the provider is required.
Before you install
The manifest declares no authentication, so anyone who can reach the endpoint may be able to use it; check how the provider identifies and limits callers. Audio, video links and resulting transcripts are sent to a third-party service, so avoid confidential recordings. No payment or write actions are described.

Installation

In SourceWeft

  1. Open PodcastsToText in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "mcp": {
      "type": "http",
      "url": "https://podcaststotext.com/api/mcp"
    }
  }
}

Tools

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Version history

1
  1. v2.2.0LatestOct 3, 2026