- DATA
- TRENDS
- TOPICS
- HUMAN
Short answer
How can I audit a podcast's episode history using AI?
Your agent pulls every episode from a show via Podchaser to find gaps in publishing and seasonal trends. You get a full breakdown of content patterns and release frequency.
The audit outcomes.
Where the data lands.
The agent turns raw episode lists into actionable insights.
DATA
Complete episode lists
The agent pulls every episode title and date for a show. You get a clean, chronological history of the entire series.
TRENDS
Publishing frequency
The AI calculates the time between releases. It identifies if a show follows a weekly schedule or has long seasonal gaps.
TOPICS
Content themes
The agent scans episode titles to group content into categories. This shows you which subjects the show covers most often.
HUMAN
Strategic planning
The AI flags the patterns, but you decide how to use them to pitch guests or plan your own content strategy.
The workflow
What your AI does when the request arrives.
The agent handles the heavy lifting of data retrieval and pattern recognition.
Fetch episode data
The agent pulls the full list of episodes for the specific podcast you named.
list_podcast_episodesIdentify gaps
The AI looks at the release dates to find where the show went silent for long periods.
list_podcast_episodesCategorize content
The agent reads through titles to find recurring themes and topics.
list_podcast_episodesReport findings
The agent summarizes the publishing cadence and content focus for your review.
list_podcast_episodes
Try it
Copy these to start.
Use these prompts to begin your analysis.
Starting points
Replace the podcast names in these prompts with the actual shows you want to audit.
Podchaser Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_MwberSMhN4NroU73TILFqv7N7u1RvFYzgpwRzWIo/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Podchaser capabilities are ready to use.
{
"mcpServers": {
"podchaser-podcast-api-mcp": {
"url": "https://edge.vinkius.com/vk_preview_MwberSMhN4NroU73TILFqv7N7u1RvFYzgpwRzWIo/mcp"
}
}
}List all episodes for the [Podcast Name] podcast and tell me how often they publish.
Analyze the publishing patterns for [Podcast Name] to see if they have seasonal breaks.
Look at the episode history for [Podcast Name] and group the topics by theme.
Check the [Podcast Name] episode list and find the longest gap between two releases.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Podchaser Podcast API once, then ask.
Connect the API to your agent in one click. Your credentials stay encrypted on our side, and you can start auditing immediately.
Connect Podchaser Podcast API to your AIFAQ
How this task behaves
- 01
Can the AI download the audio files?
No. The agent only accesses episode metadata and lists.
- 02
Can the AI edit podcast information on Podchaser?
No. This tool is read-only. It cannot change any data on the platform.
- 03
Does the AI need me to upload a CSV of episodes?
No. The agent uses the tool to fetch the list directly from the API.
- 04
Can the AI find podcasts that aren't listed on Podchaser?
No. The agent is limited to the data available through the Podchaser API.
- 05
Can the AI delete episodes from a show?
No. The agent has no capability to delete or modify any podcast data.
More questions about Podchaser Podcast API? The Connector page answers them. See everything the Podchaser Podcast API Connector can do
Connect Podchaser to Claude, Cursor, ChatGPT & more
