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Search a private podcast archive and answer questions with timestamped citations.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "The Librarian MCP Server" yet — see the docs or source repo.
Search my private podcast archive for discussions about "declining remote work productivity". Return the top 5 most relevant passages with timestamps and citations.
Ranked relevant passages with quoted excerpts, timestamps, and citation details.
Using my private podcast archive, answer: How did the host compare open-source and closed-source models? Include supporting passages and timestamps.
A concise answer supported by podcast passages, timestamps, and citations.
Summarize the main discussions about "product pricing strategy" in my private podcast archive, listing key passages by relevance with time markers.
Multiple highly relevant passages that help quickly locate and review past discussions.
When researchers need to locate a specific idea in a large podcast or interview archive, they can use it for retrieval-based Q&A and review timestamped evidence passages.
When organizing podcast material, writers can quickly find relevant quotes and obtain timestamps and citations for verification and attribution.
With a set of private lectures or podcast recordings, students can ask questions and quickly locate relevant passages instead of manually listening through everything.
It performs retrieval-augmented question answering over a private podcast archive. It uses hybrid search and returns ranked passages with timestamps and citations.
The description states that it uses hybrid search combining BM25 and dense embeddings. This allows both keyword matching and semantic similarity retrieval.
The provided material does not include installation steps or prerequisite details. For setup, runtime, or dependency information, see the source repository.
Search, extract, and manage arXiv paper metadata and collections.
Search archived conversations semantically to quickly recover relevant past context.
Search and cross-reference prior art across papers, patents, books, and standards.
Search and retrieve arXiv papers by topic, author, category, or ID.
Turn research questions into evidence-backed answers from Hacker News and arXiv.
Search podcasts, episodes, appearances, trends, and feed health data.