# Announcing the Matterfact Podcast MCP Server

> Matterfact's podcast MCP server brings sentiment and whispers from a million investor podcasts into Claude and ChatGPT. Ask, and get sourced answers.


```tldr
- Matterfact's podcast corpus is now available over MCP (Model Context Protocol)
- If you run research inside Claude or ChatGPT, you can pull sentiment and whispers about hundreds of tickers from millions of investor podcasts
- No new tab, no new login: ask in plain English and get sourced answers without leaving the Claude window you are in
```

## Research podcasts from your favorite AI tool with Matterfact Podcast MCP

Most investors already work inside an AI tool. You probably draft your thesis in Claude and pressure-test it in ChatGPT, asking follow-ups until you are comfortable enough to pitch the idea. The limiting factor has always been what those tools know and the data they can access. They know the public internet up to a training cutoff. And even though they can scan the news, they still have no idea what a chip supplier let slip on a podcast three days ago, or how sentiment on GLP-1 manufacturers has turned over the past month.

That gap is full of [alpha opportunities](/blog/why-podcasts-why-now) for investors who know how to harvest it, and it is the reason Matterfact exists. Today we are closing that gap inside the tools you already have open. We are releasing the Matterfact Podcast MCP server for Claude, ChatGPT, and any other client that speaks the protocol.

## Chat with 120 million podcast episodes right inside Claude

A podcast MCP server is a governed connection between an AI tool and a podcast intelligence corpus. MCP, or Model Context Protocol, lets you set it up once so the model can call Matterfact directly. You ask a question in plain English, the tool reaches into our podcast corpus, and the answer comes back with the real quotes, the speaker, the date, and the sentiment behind them. There is no new tab to open, no new login, and no pasting raw transcripts into a prompt to summarize a single show. You can see every mention of your ticker or industry at once and get answers synthesized across thousands of episodes in real time.

```request-access
heading: Put a million podcasts inside your AI assistant.
description: Connect the Matterfact Podcast MCP server to Claude or ChatGPT and query sentiment, whispers, and themes in plain English.
buttonText: Request access
```

## One more interface to hone your edge

Investors are not going to consolidate work into a single app. In fact, the opposite is happening. Your research now spills across Claude, ChatGPT, a terminal, a few browser tabs, and a Slack channel, and the number of those touchpoints keeps climbing. Rather than fight that, we want Matterfact available at every one of them. The MCP server means our podcast intelligence is no longer a destination you have to visit. It is a tool your existing assistant can reach for the moment a question comes up, whether that is during a morning idea screen or halfway through writing a memo.

## What you can ask from podcast MCP

A handful of queries that work from day one:

- What are the current whispers on NVIDIA's moat, and which operators are voicing them?
- How has sentiment toward GLP-1 weight-loss drugs shifted across healthcare podcasts over the last 90 days?
- Pull every mention of high-NA EUV adoption timelines from the past eight quarters of semiconductor podcasts.
- Find me the most contrarian take on [Chipotle's unit economics](/blog/chipotle-dashboard-for-investors).
- Summarize what a company's management has said in interviews that never made it into the filings.

Each answer is grounded in actual episodes with attribution, not the model's best guess from training data.

## AI agents surface signal faster than transcripts alone

Plenty of tools will hand you a transcript, but the value is in the intelligence layer on top of it. Our [podcast agent](/blog/financial-podcast-agent) surfaces actionable signals across the entire corpus and sorts them by who said it and how the sentiment is shifting.

The server is live for Claude and ChatGPT now. Connect it, then ask a million podcasts the question you have been saving for an expert network. What would you ask first?

```request-access
heading: Ask a million podcasts your next question.
description: The Matterfact Podcast MCP server is live for Claude and ChatGPT. Request access to connect it to your workflow.
buttonText: Request access
```

```faq
heading: Frequently asked questions
eyebrow: FAQ

What is the Matterfact Podcast MCP server?
It is a Model Context Protocol connection that lets AI tools like Claude and ChatGPT query Matterfact's podcast intelligence directly. You ask about sentiment, themes, or whispers in plain English and get answers grounded in real episodes, with speaker and date attribution.

Which AI tools does it work with?
We are starting with Claude, and any client that supports MCP, like ChatGPT, will be supported soon. More clients are expected as the protocol spreads across the AI ecosystem.

What kind of questions can I ask?
Sentiment shifts on a sector or ticker, contrarian takes, emerging whispers, management commentary from interviews, and thematic trends across thousands of episodes. Anything that lives in investor and industry podcasts.

How is this different from a podcast transcript tool?
Transcripts give you raw text. The MCP server gives you the analysis layer on top: who said it, when, how sentiment is moving, and which signals are early. It surfaces whispers before they reach the mainstream instead of leaving you to read for hours.

Is podcast data reliable enough for investment decisions?
Treat it as a leading indicator, not a terminal-grade dataset. It is the input you check before an expert call to shape your questions, not a replacement for verified fundamentals. Used as an early-signal layer, it is one of the cheapest edges available.
```