Podchaser API MCP. Audit entire podcast episode histories and metadata.
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Podchaser Podcast API connects your AI agent directly to a global database of podcast metadata. Use it to search for thousands of shows by keyword, audit full episode lists, and retrieve deep data on hosts and ratings.
It moves audio research from manual directory browsing into natural conversation.
What your AI agents can do
Check api status
Confirms if the Podchaser API is currently online and accepting requests.
Get podcast details
Retrieves all metadata—including descriptions, unique IDs, and social links—for one specific podcast show ID.
List podcast episodes
Gets a complete record of every episode published for a single given podcast ID.
Your agent runs search_podcasts and returns a list of podcast IDs, full descriptions, and community ratings matching the provided term.
Using an ID, your agent executes get_podcast_details to get all available information on one specific show, including social media links.
Your agent runs list_podcast_episodes with an ID and gets a complete chronological list of every published episode for that series.
The system executes check_api_status, confirming the server is currently running and ready to accept requests.
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Supported MCP Clients
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Podchaser Podcast API: 4 Tools for Media Auditing
These four tools allow your agent to perform deep searches on podcast titles, list entire episode histories, and retrieve detailed host information from the global metadata database.
019d846echeck api status
Confirms if the Podchaser API is currently online and accepting requests.
019d846eget podcast details
Retrieves all metadata—including descriptions, unique IDs, and social links—for one specific podcast show ID.
019d846elist podcast episodes
Gets a complete record of every episode published for a single given podcast ID.
019d846esearch podcasts
Finds multiple podcasts across the platform using keywords or titles.
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Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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What you can do with this MCP connector
Podchaser Podcast API hooks your AI agent up right into a massive, live database of podcast metadata. You skip the whole headache of clicking through directory pages; you just talk to the data and get what you need. This server lets your agent run deep media audits by calling specific tools on demand.
First off, before you start any research, it’s smart to check_api_status. Running this tool confirms if the Podchaser API is up and running and ready to accept requests—you don't wanna waste time sending queries to a dead endpoint.
When you need to find new content, your agent runs search_podcasts. You just toss in keywords or titles, and it spits back a list of podcast IDs, full descriptions, and community ratings that match the term you gave it.
Once you've found a promising show, you use get_podcast_details with its unique ID. This tool pulls every bit of metadata available for that specific show, including their official descriptions, dedicated unique identifiers, and all their social media links so you know where to find 'em online.
Need the full history of a series? Running list_podcast_episodes requires just one thing: the podcast ID. This tool then gets you a complete, chronological record—every single episode published for that show's entire run. You see the whole timeline and all the details on each release.
This setup means your agent can handle everything from initial discovery to deep archival research without needing manual intervention. It lets you audit full podcast lists by grabbing every episode associated with a given ID, pulling together the complete content history for an entire series at once. You're not just reading titles; your agent is getting structured data that includes descriptions and community ratings across thousands of shows.
When you combine these tools, your AI client doesn't just search—it performs complex operations. It searches for podcasts by keyword using search_podcasts, then takes one of the resulting IDs to pull all available information on it with get_podcast_details. From there, you can run list_podcast_episodes to get a full episode list or you might just want to verify that your entire research pipeline is working by running check_api_status.
You're moving audio research out of the manual directory browsing nightmare and right into a natural conversation with your agent. It’s direct, it’s fast, and every piece of data comes from this single source.
How Podchaser API MCP Works
- 1 First, subscribe to this server on Vinkius and input your unique Podchaser API Key.
- 2 Next, you prompt your AI client (e.g., Claude or Cursor) with a natural language query like: 'Find me all podcasts about space travel.'
- 3 Your agent identifies the need for
search_podcasts, calls the tool, and presents the retrieved metadata list directly in the conversation.
The bottom line is that your AI client handles the API calls. You just ask it what you want to know about podcasts, and it runs the necessary tools automatically.
Who Is Podchaser API MCP For?
Anyone whose job involves deep media analysis or content tracking needs this. Specifically, journalists who need reliable metadata for stories, marketing teams auditing competitor audio reach, or researchers building knowledge graphs of niche topics.
Uses search_podcasts to find sources related to a specific event and then uses list_podcast_episodes on those IDs to track the timeline of coverage.
Runs audits using get_podcast_details and reviews to verify if a niche topic has sufficient audience interest before creating a new content vertical.
Uses the full suite of tools to build reports comparing podcast ratings across different genres or competitors, quantifying industry trends.
What Changes When You Connect
- Full Episode History: Stop guessing how old the content is. By running
list_podcast_episodes, you get a complete, chronological list of every single piece of audio published for any given show ID. - Deep Metadata Retrieval: When you find a podcast via
search_podcasts, useget_podcast_detailsto grab all the supplementary data—like unique IDs and social links—you need for your database. - Targeted Discovery: Don't waste time browsing. Use
search_podcaststo narrow down thousands of shows instantly using a simple keyword or phrase. - Reliability Check: Before starting any big audit, run
check_api_status. This quick check ensures your entire research workflow won't fail mid-task due to service degradation. - Actionable Insight: Your agent doesn't just list titles; it brings back community ratings and descriptions. You get the context needed to decide if a show is worth following.
Real-World Use Cases
Tracking competitor coverage
A marketing team needs to know how many times a specific topic was covered by industry podcasts last quarter. They start by using search_podcasts with the core topic keyword. Then, for the top 5 results, they use list_podcast_episodes on each one to count total episodes and track content volume over time.
Building a knowledge base of niche topics
A researcher needs metadata for all podcasts in the 'quantum physics' space. They run search_podcasts with 'quantum.' The agent then uses get_podcast_details on each result to pull out unique IDs and full descriptions, creating structured records for their database.
Auditing a long-running series
A journalist is writing about the history of a specific show. They input the podcast ID into list_podcast_episodes. This action immediately gives them all air dates and titles, letting them structure their article around the show's entire timeline.
Verifying data integrity before publication
An operations lead runs a quick check_api_status first. If the service is green, they know that when they run complex queries like searching for 'AI ethics,' their agent won't hit an outage and lose valuable research time.
The Tradeoffs
Treating search results as episode lists
A user sees a podcast ID from search_podcasts and assumes the metadata returned includes recent episodes. They get descriptions, but no dates or titles of specific episodes.
→
If you need to see what was aired, do not rely on search results alone. You must run list_podcast_episodes and feed it the exact podcast ID you found first.
Trying to gather all data in one prompt
The user asks: 'Give me everything about this show.' The agent can't know if you want episode lists or just basic details, so it fails or returns only generic info.
→
Break the task into steps. First, use get_podcast_details for general context. Then, run a separate call using list_podcast_episodes to get the full history.
Ignoring service health
Running a massive audit query right before a major release or update, only to have the process fail because the API is temporarily down.
→
Always start by calling check_api_status. This confirms the platform's operational state before you commit to long-running data retrieval jobs.
When It Fits, When It Doesn't
Use this MCP Server if your goal is deep, structured media intelligence—specifically auditing podcast metadata. You need a database of shows, their hosts, and every episode they’ve ever released.
Don't use it if you just want to know what kind of podcasts exist; simple web searches suffice for general ideas. Don't use it if your data is unstructured text or images—this API only handles structured audio metadata.
If you are building an audit workflow, always remember the sequence: Start with search_podcasts (to find IDs), then run get_podcast_details (for context), and finally use list_podcast_episodes (for history). If any stage fails, check check_api_status before retrying.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Podchaser. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 4 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Manually tracking podcast metadata is a nightmare of clicks.
Right now, if you want to know the full scope of coverage for a niche topic, you have to open dozens of directory sites. You copy a title into one search, check the results, then manually note down IDs, and repeat that process five different times just to get episode counts. It's tedious, slow, and prone to human error.
With this MCP Server, your agent handles all those steps automatically. Instead of copying and pasting IDs across a dozen tabs, you simply tell the agent what you want. It runs `search_podcasts` for keywords, gets the details via `get_podcast_details`, and lists every single episode with one call to `list_podcast_episodes`. You get data—not clicks.
The Podchaser Podcast API MCP Server: Get complete podcast audit data.
Before, tracking a show's history meant guessing if you found all the episodes. You might see titles on one page, but miss the corresponding air dates or struggle to find host details. It was piecing together information from half a dozen different sources.
Now, your agent treats it like a single database query. By using `list_podcast_episodes` and pairing that with `get_podcast_details`, you get the definitive, structured record—all episode data, all host metadata, all in one flow.
Common Questions About Podchaser API MCP
How do I find a podcast by keyword using search_podcasts? +
Just tell your agent to run search_podcasts and give it the keywords. The API returns multiple results, each with metadata like descriptions and ratings, so you can choose which ID you want to audit next.
What is the difference between search_podcasts and get_podcast_details? +
search_podcasts finds multiple potential shows based on a broad query. get_podcast_details, however, requires you to already have a specific podcast ID before it can retrieve all the depth data for that single show.
Can I list episodes using just the title? +
No. You must first use search_podcasts or get_podcast_details to get a unique podcast ID. Then, you pass that specific ID into list_podcast_episodes.
Do I need to check the API status before running an audit? +
Yes. Always start by calling check_api_status. This confirms the server is live and ready, preventing your agent from failing mid-task due to a temporary connection issue.
What kind of metadata can I retrieve using get_podcast_details? +
It returns comprehensive data, including unique IDs, full descriptions, social media links, and host information. You get everything you need to reference the podcast in a structured workflow.
If I run list_podcast_episodes with an incorrect ID, what error message should I expect? +
The API will return a specific status code and error payload confirming that the provided podcast ID does not exist. You must verify the ID first before attempting to list episodes.
What are the typical usage limits or rate limits for search_podcasts? +
The service enforces standard API rate limiting to ensure stability. If you run high-volume audits, monitor your requests per minute and plan batching accordingly.
How easy is it to parse and use the results generated by search_podcasts with my agent? +
The data comes back in a structured, machine-readable format. Your AI client can easily process the list of titles, keywords, and metadata for immediate follow-up tasks.
How do I find my Podchaser API Key? +
Log in to your Podchaser developer portal, create an application, and you will find your API Token in your dashboard. Copy and paste it below.
Can I search for podcasts by host? +
Yes. The search tools allow you to use host names as keywords to retrieve podcasts and creators from the Podchaser database.
Does it support episode descriptions? +
Yes. The get_podcast_details and list_podcast_episodes tools retrieve detailed descriptions and show notes for podcasts and episodes.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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