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Search YouTube transcripts semantically to find relevant concepts and passages fast.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "RAG MCP Claude" yet — see the docs or source repo.
Please semantically search the indexed YouTube transcripts for “reward shaping in reinforcement learning” and return the 5 most relevant passages with video titles and timestamps.
A ranked list of highly relevant transcript passages with source video titles and timestamps.
Help me search the indexed video transcripts for “how product managers conduct user interviews,” then select the most useful content and summarize it by theme.
A theme-based summary of relevant content with references to the original passages for review.
Don’t rely on keyword matching only. Semantically search YouTube transcripts for content similar to “team knowledge retention” and find relevant examples or frameworks.
Relevant passages that are semantically close to the target concept, surfacing related but non-obvious information.
Search custom knowledge bases in Claude Desktop with RAG via MCP.
Ingest documents and query them with natural-language semantic search.
Fetch YouTube transcripts with timestamps for AI-powered search, analysis, and quoting.
Fetch and process YouTube transcripts securely for search, analysis, and content extraction.
Create a shared multilingual team memory with semantic search for MCP clients.
Fetch YouTube metadata and transcripts for natural-language search and analysis.