A comprehensive Node.js client bundle offering CLI, SDK, and MCP server access to search podcasts and fetch high-quality transcripts via the Podfetcher API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install podfetcher-tools
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install podfetcher-tools using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Podfetcher Tools?
Podfetcher Tools is a robust developer utility designed to bridge the gap between podcast content and AI workflows. As a featured part of the Openclaw Skills ecosystem, it provides a unified interface to the Podfetcher API, enabling users to explore podcast catalogs, list episodes, and retrieve full transcripts. Whether you are building an automated content research pipeline or integrating audio data into an LLM, this tool provides the necessary infrastructure through its flexible entry points.
The package is built for modern development environments, supporting Node.js 20+ and offering multiple modes of operation. By utilizing this within your Openclaw Skills collection, you can empower AI agents to navigate the podcasting world, turning audio content into searchable, actionable text data with minimal configuration.
Podfetcher Tools Use Cases
- Automating the collection of podcast transcripts for research and data analysis.
- Enhancing AI agents with the ability to search and reference specific podcast episodes.
- Building custom podcast discovery applications using the integrated SDK.
- Streamlining content creation by retrieving transcripts for summarization or social media repurposing using Openclaw Skills.
How Podfetcher Tools Works
- Configure the environment by setting the PODFETCHER_API_KEY obtained from the Podfetcher dashboard.
- Utilize the search functionality to find podcast shows based on specific keywords or queries.
- Browse through a show's episode catalog, filtering by date or ordering by publication time to find specific segments.
- Request a transcript for a specific episode ID, with the option to wait for processing to complete via automated polling.
- Integrate the resulting JSON or text data into your application or AI agent workflow.
Podfetcher Tools Setup
To get started with Podfetcher Tools in your Openclaw Skills environment, ensure you have Node.js 20+ installed and follow these steps:
- Get an API key from podfetcher.com.
- Export your API key in your terminal:
export PODFETCHER_API_KEY="pk_live_your_key_here"
- Install the package globally to use the CLI and MCP server:
npm install -g podfetcher-tools
Podfetcher Tools Data Schema & Taxonomy
The skill interacts with the Podfetcher API using structured data models to ensure consistency across the Openclaw Skills library:
| Object | Fields | Description |
|---|---|---|
| Show | showId, title, author | Represents a podcast series. |
| Episode | episodeId, title, publishedAt, transcriptStatus | Represents an individual audio entry. |
| Transcript | jobId, status, content | The text data and its processing state. |
| API Response | items[], nextCursor | Standardized pagination for large catalogs. |
Podfetcher Tools Advanced Features
- Model Context Protocol (MCP) support for direct integration with AI agents like Claude.
- Built-in polling mechanism using the --wait flag to handle asynchronous transcription jobs.
- Idempotency key support to prevent redundant API requests and manage costs.
- Comprehensive CLI with JSON output mode for easy piping into other developer tools.
- Flexible configuration for non-production environments using custom base URLs and header overrides.
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