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  1. Home
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  3. Braintube MCP
Braintube MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 10:16:10 PM

Braintube MCP

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Provides a persistent, semantically searchable personal knowledge base from saved media and notes accessible via MCP.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON ā–¾

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "lildaddyo-braintube-mcp": {
      "url": "https://mcp.brain-tube.com/mcp"
    }
  }
}

šŸ’” Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Overview

This MCP server compiles YouTube videos, podcasts, articles, PDFs, and notes into a unified, searchable knowledge base that AI clients can query. It supports semantic and keyword search with citations, knowledge graph traversal, and session context management. Access is per-user isolated using OAuth 2.0 or API keys, ensuring users only see their own data. Use it to enable AI agents to reference your personal corpus rather than starting conversations without context.

Use cases

•Search and cite personal multimedia and notes from AI agents
•Ingest articles, web content, and notes directly from MCP clients
•Traverse related items and knowledge graph connections in your corpus
•Maintain session context with expertise profiles and recent activity

Key features

•Semantic and keyword search with source citations including video timestamps
•Supports ingestion of diverse content types: videos, podcasts, articles, PDFs, notes
•Per-user data isolation with JWT-scoped access
•OAuth 2.0 and API key authentication
•Unified HTTP endpoint compatible with any MCP client

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Braintube MCP.

Extracted Tool Capabilities
Semantic and keyword search with source citations including video timestamps
Supports ingestion of diverse content types: videos, podcasts, articles, PDFs, notes
Per-user data isolation with JWT-scoped access
OAuth 2.0 and API key authentication
Unified HTTP endpoint compatible with any MCP client

Documentation Overview

BrainTube MCP Server

Save once. Query anywhere. BrainTube compiles what you watch, read and listen to — YouTube videos, podcasts, articles, PDFs — into a persistent, searchable knowledge base, and this MCP server exposes it to every MCP-capable AI client over one endpoint.

  • Endpoint: https://mcp.brain-tube.com/mcp (Streamable HTTP)
  • Version: 3.12.4
  • Auth: OAuth 2.0 (authorization code + PKCE) or a BrainTube API key via X-BrainTube-Token header
  • Discovery: /.well-known/oauth-protected-resource Ā· /.well-known/oauth-authorization-server

What it does

Your AI can search and cite your own corpus instead of starting every conversation cold:

  • Semantic + keyword search over everything you've saved, with citations back to the source (down to video timestamps)
  • Ingest notes, articles and web content directly from any MCP client
  • Knowledge graph & related-item traversal across your corpus
  • Session context — expertise profile, recent activity, and resurfacing tools
  • Per-user isolation — JWT-scoped access; you only ever see your own corpus

Quickstart

  1. Create an account at brain-tube.com and get an API key (or use OAuth from a compatible client).
  2. Add the server to your MCP client:
config.json
{
  "mcpServers": {
    "braintube": {
      "type": "http",
      "url": "https://mcp.brain-tube.com/mcp",
      "headers": { "X-BrainTube-Token": "bt_..." }
    }
  }
}

Works with any MCP-capable client (Claude, Cursor, and others). In clients with OAuth support, just add the endpoint URL and sign in when prompted.

Links

  • Website: brain-tube.com
  • MCP setup guide: brain-tube.com/connect
  • Official MCP registry: io.github.lildaddyo/braintube-mcp
  • Support: brain-tube.com/contact

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

Last commit
5d ago
Most recent push to the default branch.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Braintube MCP

It supports OAuth 2.0 (authorization code with PKCE) and API key authentication via the X-BrainTube-Token header.

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Technical Specs & Signals

Category🧠Knowledge & Memory
More technical detailsExpand ā–¾
TransportSSE (Remote)
Last updatedSep 7, 2026
11/11 checks healthy over the last 32d
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit5d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 7, 2026
48Quality signal: Fair Ā· 48/100How this signal is calculated ā–¾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools22/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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More in 🧠 Knowledge & Memory →Best MCP servers for Memory & Knowledge →Alternatives to Braintube MCP →Install in Claude DesktopInstall in CursorInstall in VS Code