About tubemind-secure-mcp
tubemind-secure-mcp is an MCP server for YouTube research, analytics, and content planning, aimed at channel operators and their AI clients. It combines official YouTube APIs with analysis tools and token-focused security controls.
Key features
- 01YouTube topic, keyword, and tag research
- 02Video and channel metadata operations
- 03Channel analytics and peer benchmarking
- 04Content gap, title, and CTR analysis
- 05Competitor discovery and calendar planning
- 06Encrypted OAuth tokens and security controls
Use cases
- 01Find rising topics and keywords for a channel
- 02Review retention, views, and publishing windows
- 03Compare channel performance with competitors
- 04Plan content using gaps, hooks, and calendar tools
MCP support
Exposes 18 YouTube research, analytics, metadata, benchmarking, and planning tools to MCP clients, including Claude Desktop. Uses OAuth2 and encrypts stored tokens with AES-256-GCM.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
npx -y tubemind-secure-mcpYOUTUBE_CLIENT_IDGoogle OAuth2 Client ID for YouTube Data API v3 + Analytics APIYOUTUBE_CLIENT_SECRETSecretGoogle OAuth2 Client SecretYOUTUBE_REDIRECT_URIOAuth2 redirect URI (must match Google Cloud Console)TOKEN_ENCRYPTION_KEYSecret64-char hex key for AES-256-GCM token encryption at rest. Generate with: openssl rand -hex 32RATE_LIMIT_PER_MINUTEMax tool invocations per minuteREQUEST_TIMEOUT_MSHTTP request timeout (ms)AUDIT_LOG_PATHPath to the audit log fileNODE_ENVproduction | developmentLocal servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
18Saved tool list · updated 2w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| order | string | No | Sort order: relevance, viewCount, date, rating |
| query | string | Yes | Topic or keyword to search |
| maxResults | number | No | Number of results (1-50) |
| regionCode | string | No | Region code: BR, US, PT, ES, AR |
Details
From the project READMEtubemind-secure-mcp
YouTube intelligence, powered by Claude. Secure by design.
Model Context Protocol server with 18 tools for YouTube research, analytics, benchmarking and content strategy.
📦 18 tools · 🔐 OAuth2 + AES-256-GCM · 🛡️ OWASP Top 10 · 🤖 Claude Desktop ready
🎯 Why tubemind-secure-mcp?
Turn Claude into a YouTube growth strategist — without ever handing it your raw OAuth tokens.
- ⚡ Plug-and-play with Claude Desktop — drop one config block, get 18 production tools.
- 🔐 Secure by default — tokens encrypted at rest (AES-256-GCM), SSRF guard, rate limiting, audit log, Zod-validated inputs. OWASP Top 10 mapped end-to-end.
- 📊 Real data, not scraping — official YouTube Data API v3 + YouTube Analytics API. Brand Accounts supported.
- 🧠 Beyond raw API — built-in heuristics for CTR, retention, keyword difficulty, content gaps, hook angles and N-day content calendars.
- 🪶 Tiny footprint — 3 runtime deps (
@modelcontextprotocol/sdk,googleapis,zod). Node ≥ 20.
✨ Overview
tubemind-secure-mcp is a Model Context Protocol (MCP) server that gives Claude Desktop (and any MCP client) 18 production-grade tools for working with YouTube:
- 🔍 Search & SEO — trending topics, keyword stats, tag suggestions
- 📺 Video & Channel — list videos, read/update metadata, get tags
- 📊 Analytics — channel analytics (views, watch time, retention) via YouTube Analytics API
- 🏆 Benchmark — compare your channel against competitors
- 🧠 Heuristics — keyword difficulty, title patterns, content gaps, hook angles, CTR potential, retention signals, content calendar
- 🕵️ Competitor research — competitor video discovery
Built secure by design: OAuth2 (Brand Account ready), AES-256-GCM token encryption at rest, SSRF guard, rate limiting, audit logging, Zod input validation — mapped to OWASP Top 10.
📦 Installation
# Global install
npm install -g tubemind-secure-mcp
# Or run on demand
npx tubemind-secure-mcp
Requires Node.js ≥ 20.
🔐 OAuth Setup (one-time)
YouTube APIs need an OAuth2 token. The package ships with an auth server that walks you through it.
1) Create OAuth credentials in Google Cloud
- Go to Google Cloud Console → APIs & Services → Credentials
- Enable YouTube Data API v3 and YouTube Analytics API
- Create OAuth 2.0 Client ID → Web application
- Authorized redirect URI:
http://localhost:4000/oauth/callback - Copy the Client ID and Client Secret
2) Configure environment
Copy .env.example to .env and fill in:
YOUTUBE_CLIENT_ID=your-client-id.apps.googleusercontent.com
YOUTUBE_CLIENT_SECRET=your-client-secret
YOUTUBE_REDIRECT_URI=http://localhost:4000/oauth/callback
# Generate with: openssl rand -hex 32
TOKEN_ENCRYPTION_KEY=your-64-char-hex-key
RATE_LIMIT_PER_MINUTE=60
REQUEST_TIMEOUT_MS=10000
AUDIT_LOG_PATH=./logs/audit.log
NODE_ENV=production
3) Run the OAuth flow
pnpm auth
# or: npx tsx --env-file=.env src/auth-server.ts
Open http://localhost:4000, sign in with the Google account that owns the channel (Brand Accounts supported), authorize, and the encrypted token is saved to ./tokens/youtube.token.json.
🤖 Use with Claude Desktop
Add to claude_desktop_config.json:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"tubemind": {
"command": "npx",
"args": ["-y", "tubemind-secure-mcp"],
"env": {
"YOUTUBE_CLIENT_ID": "your-client-id.apps.googleusercontent.com",
"YOUTUBE_CLIENT_SECRET": "your-client-secret",
"YOUTUBE_REDIRECT_URI": "http://localhost:4000/oauth/callback",
"TOKEN_ENCRYPTION_KEY": "your-64-char-hex-key",
"RATE_LIMIT_PER_MINUTE": "60",
"REQUEST_TIMEOUT_MS": "10000",
"AUDIT_LOG_PATH": "./logs/audit.log",
"NODE_ENV": "production"
}
}
}
}
Restart Claude Desktop. The 18 tools will appear automatically.
🛠️ Tools
| Category | Tool | Description |
|---|---|---|
| Search | search_trending_topics | Discover trending topics by region/category |
get_keyword_stats | Search volume signals for keywords | |
suggest_tags | Tag recommendations from a seed | |
| Video | get_video_tags | Read tags from a video |
update_video_metadata | Update title/description/tags (write scope) | |
list_channel_videos | Paginate channel uploads | |
| Analytics | get_channel_analytics | Views, watch time, retention (Analytics API) |
score_best_publish_window | Best day/hour heatmap to publish | |
| Benchmark | benchmark_channel | Compare channel vs. peers |
| Heuristics | estimate_keyword_difficulty | Difficulty score 0–100 |
analyze_title_patterns | Common patterns in top videos | |
detect_content_gaps | Topics competitors cover that you don't | |
| Heuristics+ | estimate_ctr_potential | CTR estimate from title/thumbnail signals |
suggest_hook_angles | Hook angles for a topic | |
find_trending_keywords | Rising-momentum keywords | |
analyze_retention_signals | Retention-shaping factors | |
generate_content_calendar | N-day content plan | |
| Competitor | get_competitor_videos | Top videos from a competitor channel |
All inputs are validated with Zod. All errors return safe messages (stack traces only when NODE_ENV=development).
🔒 Security
tubemind-secure-mcp is built secure-by-default. See SECURITY.md for the full posture mapped to OWASP Top 10.
| Control | Implementation |
|---|---|
| A01 — Broken Access Control | OAuth2 scopes least-privilege, audit log per call |
| A02 — Cryptographic Failures | AES-256-GCM at rest for tokens, secrets via env only |
| A03 — Injection | Zod schemas on every tool input |
| A04 — Insecure Design | Rate limit, request timeout, SSRF guard (host whitelist) |
| A05 — Misconfiguration | .env.example template, no defaults that leak |
| A07 — AuthN Failures | OAuth2 PKCE-style flow, encrypted token storage |
| A08 — Software/Data Integrity | Pinned deps, pnpm audit in CI, dependabot |
| A09 — Logging Failures | Audit log of every tool call (timestamp, tool, success) |
| A10 — SSRF | Outbound calls restricted to googleapis.com family |
Found a vulnerability? Email [email protected] — 72h response.
🧰 Local development
pnpm install
pnpm dev # tsx watch on src/index.ts
pnpm build # tsc → dist/
pnpm typecheck
pnpm test
pnpm audit:security
📜 License
MIT © Wanderson Leandro de Oliveira / Dewtech
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.