lildaddyo/braintube-mcp
by Various
[](https://glama.ai/mcp/servers/lildaddyo/braintube-mcp) π βοΈ - Compiles saved YouTube videos, podcasts, articles, PDFs, and Notion/Obsidian notes into a persistent, semantically
MCP
lildaddyo/braintube-mcp
Added 13 July 2026
Overview
Braintube-mcp compiles saved YouTube videos, podcasts, articles, PDFs, and notes from Notion or Obsidian into a persistent, semantically organized knowledge base. It runs as an MCP server built in TypeScript, enabling AI agents to query and retrieve from this unified repository.
Best for
Best for
Developers building AI agents that need access to a curated personal knowledge base from scattered online sources.
Use cases
- Aggregating bookmarks and notes from multiple sources into a single searchable store
- Enabling AI assistants to answer questions based on a user's curated content collection
- Building a personal knowledge graph from saved digital media and documents
Notes
Braintube-mcp compiles saved YouTube videos, podcasts, articles, PDFs, and notes from Notion or Obsidian into a persistent, semantically organized knowledge base. It runs as an MCP server built in TypeScript, enabling AI agents to query and retrieve from this unified repository.
0 stars on GitHub. Last updated 2026-07-09.
Use cases
- Aggregating bookmarks and notes from multiple sources into a single searchable store
- Enabling AI assistants to answer questions based on a userβs curated content collection
- Building a personal knowledge graph from saved digital media and documents
Pros
- Unifies diverse content types (video, audio, PDFs, notes) into one persistent store
- Leverages semantic organization for context-aware retrieval
- Open source and extendable via MCP protocol
Cons
- Zero GitHub stars suggests very early stage or limited adoption
- Requires self-hosting and setup of the MCP server
- Dependency on external services (YouTube, Notion, Obsidian) for content ingestion
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Unifies diverse content types (video, audio, PDFs, notes) into one persistent store
- Leverages semantic organization for context-aware retrieval
- Open source and extendable via MCP protocol
Cons
- Zero GitHub stars suggests very early stage or limited adoption
- Requires self-hosting and setup of the MCP server
- Dependency on external services (YouTube, Notion, Obsidian) for content ingestion
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
Get the free Developerβs Field Guide
A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.
Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.