PodPast.ai
PulseGate's liveness check found it on 3 Oct 2026; it has been in the index since 23 Aug 2026. How this is checked
PodPast.ai imports podcast RSS feeds and YouTube channels, transcribes episodes, and builds a semantic knowledge vault. Users can search the library on the web or query it through Claude and ChatGPT via MCP, with citations and timestamp links for verification.
Inferred · not functionally tested
Overview
6 featuresPurpose: Finding and citing specific information buried in hours of podcast and YouTube content.
Inferred · not functionally tested
Audience: podcast listeners, researchers, journalists, and knowledge workers
Inferred · not functionally tested
Functions: rag, data_extraction
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: unknown · Self-hosting: unknown
Recorded constraints: pricing: freemium · license: Proprietary · platforms: WEB · deployment: browser, cloud_managed
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: podpast.ai. These links do not verify the individual claims.
PodPast.ai is a RAG, search & retrieval project. Inferred · not functionally tested: It focuses on finding and citing specific information buried in hours of podcast and YouTube content. Inferred · not functionally tested: PodPast.ai is a consumer product aimed at podcast listeners, researchers, journalists, and knowledge workers. Basis unknown · not verified: A free plan is available. Basis unknown · not verified: It runs on the web.
Behind PodPast.ai is Tom Does Work. Inferred · not functionally tested: Key capabilities include RSS feed import, youTube import, and episode transcription. Inferred · not functionally tested: Catalogued interfaces include an MCP server and a public API.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- RSS feed import
- YouTube import
- Episode transcription
- Semantic indexing
- Web search
- MCP access
Topics: Inferred · not functionally tested
Built with & integrations
- Next.js
- x-nextjs-prerender header · /_next/static/ in the HTML · __next_f in the HTML
- openai
- gpt-4 in the HTML
- Vercel
- x-vercel-id header · x-vercel-cache header
- anthropic
- bpowered in the HTML
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed23 Aug · 01:02 UTCio.github.tomdoeswork/podpast seen via MCP Registry (official)Source: MCP Registry (official) · Open
Frequently asked questions about PodPast.ai
- What does PodPast.ai do?
- Inferred · not functionally tested: PodPast.ai focuses on finding and citing specific information buried in hours of podcast and YouTube content. It is catalogued under RAG, search & retrieval on PulseGate.
- Who is PodPast.ai for?
- Inferred · not functionally tested: PodPast.ai is a consumer product built for podcast listeners, researchers, journalists, and knowledge workers.
- Is PodPast.ai free?
- Basis unknown · not verified: Yes — there is a free tier, with paid plans for advanced use.
- What platforms does PodPast.ai run on?
- Basis unknown · not verified: PodPast.ai runs on the web.
- Is PodPast.ai still active?
- PulseGate's liveness check found it on 3 Oct 2026.
- Who makes PodPast.ai?
- PodPast.ai is developed by Tom Does Work.
- Does PodPast.ai have an API or integrations?
- Inferred · not functionally tested: Yes — PodPast.ai exposes an MCP server and a public API.
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