tube-bridge

YouTube MCP server for AI agents — search, discovery, transcripts, comments, semantic corpus.

16 tools. 13 without API key. 3 with optional YouTube Data API v3 key.

Quick Start

# 1. Install the published package
pip install tube-bridge

# 2. Run (no API key needed for 13 of 16 tools)
tube-bridge                    # stdio mode (local MCP clients)
tube-bridge --http             # HTTP mode (remote, port 8080)

# 3. Or run the published container
docker run --rm -p 8080:8080 ghcr.io/thewhitewater/tube-bridge:latest

# MCP endpoints: stdio via `tube-bridge`, HTTP at http://localhost:8080/mcp

16 tools: 13 callable without any setup. 3 unlock with a Data API v3 key. 5 corpus tools use local embeddings.

Tools (16)

Tool	API Key	Description
youtube_search	❌→✅	Search videos. Data API v3 primary when key set, yt-dlp fallback. Rich filters: date, channel, duration, order
youtube_get_video_info	❌→✅	Full metadata: title, views, channel, tags, description. Dual-source, cached
youtube_get_trending	❌→✅	Trending videos. API v3 primary, yt-dlp fallback
youtube_get_channel_videos	❌	Recent uploads from any channel (@handle or URL)
youtube_get_playlist	❌	All videos in a playlist
youtube_get_transcript	❌	Transcript/subtitles. Plain text or [MM:SS] timestamps. Manual > ASR
youtube_get_available_languages	❌	Subtitle languages with manual/auto-generated flags
youtube_get_comments	✅	Top-level comments with likes and reply counts
youtube_search_channels	✅	Channel search with subscriber counts and filters
youtube_get_channel_info	✅	Detailed channel stats: subscribers, views, country, keywords
tube_bridge_help	❌	Server documentation accessible via MCP
corpus_create	❌	Create a named corpus for semantic transcript search
corpus_add	❌	Add video transcript to a corpus. Auto-fetches (network), chunks, embeds locally
corpus_search	❌	Semantic search within a corpus. Returns chunks with scores, timestamps, video IDs
corpus_list	❌	List all corpora with chunk and video counts
corpus_delete	❌	Delete a corpus and all its chunks/vectors permanently

Key: ❌ = no key needed; ✅ = key required; ❌→✅ = works without key, upgrades with key.

Transport Endpoints

• /mcp — Streamable HTTP (recommended for remote deployments)
• /sse — SSE (legacy; deprecated)
• /health — Health check (always open)
• stdio — Direct child process for local MCP clients

Optional Auth

Set TUBE_BRIDGE_AUTH_KEY to protect /mcp, /sse, and /messages. Header-capable clients send Authorization: Bearer <key>. /health remains public. Without the variable, self-hosted HTTP is open.

Client config:

{
  "mcpServers": {
    "tube-bridge": {
      "type": "http",
      "url": "https://your-app.example.com/mcp",
      "headers": {
        "Authorization": "Bearer your-secret-key"
      }
    }
  }
}

YouTube Data API v3 (Optional)

For comments, channel search, channel info, and higher-quality search results, obtain your own YouTube Data API key from Google Cloud Console and set it as an environment variable:

export YOUTUBE_API_KEY="your-key-here"

3 tools unlock with a key. Search and video_info also upgrade to higher-quality Data API v3 results. With the key present, yt-dlp is used as a fallback when quota is exhausted.

Bridge Corpus — Semantic Search

Semantic search over YouTube transcripts using local embeddings. Useful for research workflows — build a corpus of videos on a topic and search across them.

corpus_create("ai-agents", "AI Agents Research")     # Named corpus
corpus_add("ai-agents", "dQw4w9WgXcQ")               # Auto-chunks + embeds (transcript fetched over network)
corpus_search("ai-agents", "memory systems")          # Semantic search with scores
corpus_list()                                          # List all corpora
corpus_delete("ai-agents")                             # Delete permanently

• Chunking: by transcript segments, 80-second windows with 20-second overlap
• Embeddings: fastembed (BGE-small-en-v1.5, 384-dim); local inference after model assets are available; initial model acquisition may require network; no embedding API setup
• Storage: corpus.db — separate SQLite file from cache.db, same directory (~/.tube_bridge)

Architecture

tube_bridge/
├── server.py          # MCP wiring: tool registration + dispatch
├── tools.py           # All tool implementations (async, cached, retry)
├── cli.py             # Runtime selection: stdio or HTTP
├── transport.py       # Streamable HTTP + SSE routes, optional Bearer auth, health
├── cache.py           # Persistent SQLite cache (cache.db) for transcripts + video metadata
├── corpus.py          # Semantic search (corpus.db, sqlite-vec + fastembed)
└── youtube/
    ├── client.py      # yt-dlp subprocess client (retry + backoff + proxy)
    ├── api.py         # YouTube Data API v3 client (stdlib urllib, no third-party Google SDK)
    ├── transcript.py  # youtube-transcript-api wrapper (manual > ASR, proxy)
    └── models.py      # VideoInfo dataclass

• Dual-source: Data API v3 primary → yt-dlp fallback for search, video_info, trending
• Cache: SQLite cache.db (persistent, survives restarts) + lru_cache hot layer
• Corpus: SQLite corpus.db (separate database) with sqlite-vec vectors
• Data API client: Python stdlib urllib only; no google-api-python-client dependency
• Retry: 2 retries with exponential backoff for yt-dlp subprocess
• Proxy: TUBE_BRIDGE_PROXY env var routes both yt-dlp and transcript API through a proxy
• Graceful: quota exceeded → falls through to yt-dlp; stderr captured in _warning field

Self-Hosting

tube-bridge is an MIT self-hosted individual MCP — not a hosted demo, SaaS, or managed transcript service. Each user installs and operates their own instance, credentials, storage, quotas, and retention.

Docker

docker build -t tube-bridge .
docker run -p 8080:8080 -e YOUTUBE_API_KEY=... tube-bridge

Any Host

pip install mcp==1.28.1 yt-dlp youtube-transcript-api starlette uvicorn sqlite-vec fastembed
python3 server.py --http --port 8080 --host 0.0.0.0

MCP Client Config

stdio (local):

{
  "mcpServers": {
    "tube-bridge": {
      "command": "python3",
      "args": ["/path/to/tube-bridge/server.py"]
    }
  }
}

Streamable HTTP (recommended for remote):

{
  "mcpServers": {
    "tube-bridge": {
      "type": "http",
      "url": "https://your-app.example.com/mcp"
    }
  }
}

SSE (legacy):

{
  "mcpServers": {
    "tube-bridge": {
      "type": "sse",
      "url": "https://your-app.example.com/sse"
    }
  }
}

Product Boundary

Current State

• MIT self-hosted library — 16 MCP tools, all transports, cache/corpus logic.
• Published core — GitHub Release, PyPI package, and public GHCR image are live. Frozen 125-test core acceptance, clean install, installed CLI/MCP, Docker handshake, wheel+sdist, twine, and hosted CI pass.
• No hosted demo — the project does not provide public hosted access, tester invites, accounts, managed storage, or an SLA. Install it yourself to evaluate it.

Full Publication Scope

The self-hosted core is fully published through GitHub Release, PyPI, and GHCR. That is the complete public product surface.

What tube-bridge Is NOT

• Not a SaaS or managed transcript-hosting product.
• No commercial extension, product gateway, billing, entitlement, or managed higher-quota tier.
• Grabbit MCP is a completely separate companion MCP (live endpoint). There is no connector, dependency, shared service, bundled workflow, or code integration: an agent may use tube-bridge to find videos and independently use Grabbit to save links.
• Browser extension is outside this project's release gate and must not be architected here.

Decision Sources

• PROJECT_VISION.md — product boundaries, tool baseline, open-core scope.
• docs/planning/PUBLICATION_READINESS.md — readiness checklist (P0/P1/P2 items, no-go gates).
• docs/adr/003-self-hosted-only-private-operator-railway.md — active self-hosted-only product decision.
• ADR-001's hosted-demo clauses and ADR-002 are historical and superseded.

Testing

python3 test_tools.py

This remains an optional live smoke against YouTube. Formal acceptance uses python3 -m pytest tests -q; the active suite contains 137 deterministic tests: the original 125-test core freeze, the 5-test self-hosted-only retirement contract, the 2-test private-endpoint help remediation, and the 5-test v1.0.3 release-artifact contract. Hosted GitHub Actions CI runs on Python 3.12 and 3.13.

Known Limitations

• Datacenter IPs (Railway, AWS, etc.): YouTube may block anonymous requests from cloud IP ranges. youtube_search and youtube_get_video_info are unaffected with a Data API v3 key. youtube_get_transcript may fail with bot detection — set TUBE_BRIDGE_PROXY to a residential proxy to work around this.
• yt-dlp anonymous search: degraded by YouTube in recent months. Prefer Data API v3 when available.

License

MIT — see LICENSE file.