vturb-mcp
MCP server for the vTurb Analytics API that exposes 15 tools to query real-time and historical video analytics directly from Claude, with built-in rate limiting and smart player detection.
README
vturb-mcp
MCP server for the vTurb Analytics API — exposes 15 tools to query real-time and historical video analytics directly from Claude.
Features
- 15 analytics tools covering sessions, events, engagement, clicks, conversions, traffic origin and more
- Built-in rate limiter — token bucket enforcing the Pro tier limit of 120 req/min (no 429 errors)
- Smart player detection —
find_active_playersauto-discovers which video is live today - Per-client
.envfiles — clean credential management across multiple accounts
Requirements
- Node.js ≥ 18
- A vTurb account with Analytics API access
- Your API token from app.vturb.com/settings/analytics-api
- Claude Code (CLI or VSCode extension)
Installation
1. Clone the repository
git clone https://github.com/hiperbold/vturb-mcp.git
cd vturb-mcp
npm install
npm run build
2. Create your .env file for each client
The MCP uses a per-client .env file so you can manage multiple vTurb accounts cleanly. Name the file after the client:
# Copy the example
cp .env.example .env.customer-name
# Edit and paste your token
# .env.customer-name
VTURB_API_TOKEN=your_token_here
The file format is simple — one variable per line:
VTURB_API_TOKEN=eyJ...
Security: Never commit
.env.*files. They are already in.gitignore.
3. Register the MCP server in Claude Code
Open ~/.claude/mcp.json (create it if it doesn't exist) and add:
{
"mcpServers": {
"vturb-mcp": {
"command": "node",
"args": ["/absolute/path/to/vturb-mcp/dist/index.js"],
"env": {
"VTURB_ENV_FILE": "/absolute/path/to/vturb-mcp/.env.customer-name"
}
}
}
}
Windows example:
{
"mcpServers": {
"vturb-mcp": {
"command": "node",
"args": ["F:\\local-mcps\\vturb-mcp\\dist\\index.js"],
"env": {
"VTURB_ENV_FILE": "F:\\local-mcps\\vturb-mcp\\.env.customer-name"
}
}
}
}
4. Restart Claude Code
The MCP server starts automatically on the next session. You'll see it listed in your available tools.
Switching between clients
To switch accounts, just update VTURB_ENV_FILE in mcp.json to point to a different .env file and restart Claude:
"VTURB_ENV_FILE": "F:\\local-mcps\\vturb-mcp\\.env.other-customer"
Available Tools
Discovery & Monitoring
| Tool | Description |
|---|---|
list_players |
Lists all players in the account with id, name, duration, and pitch_time. Supports optional filters by name and date range. |
find_active_players |
Smart tool. Lists all players, checks which ones have activity today, and returns only the active ones with their metadata. Use this first to discover the correct player_id. |
get_quota_usage |
Returns the current API quota status: queries used, remaining, and reset time. Use this to monitor consumption and avoid hitting the 120 req/min limit. |
get_live_users |
Returns the number of users currently watching, broken down by domain. Configurable time window (1–720 minutes). |
Session Analytics
| Tool | Description |
|---|---|
get_session_stats |
Main analytics dashboard for a player: total views, plays, unique sessions/devices, engagement rate, clicks, conversions, and revenue in BRL/USD/EUR. |
get_session_stats_by_day |
Same metrics as get_session_stats but broken down day by day. Ideal for historical trend analysis. |
Events
| Tool | Description |
|---|---|
get_events_total |
Returns totals for started, finished, and/or viewed events with unique session and device counts. |
get_events_by_day |
Same event totals broken down by day for trend analysis. |
Engagement & Retention
| Tool | Description |
|---|---|
get_user_engagement |
Returns the video retention curve: how many users are still watching at each second. Also returns average_watched_time and engagement_rate. |
get_user_engagement_by_day |
Returns the engagement rate per day over the selected period. |
Clicks
| Tool | Description |
|---|---|
get_clicks_timed |
Returns CTA click counts grouped by video second. Identifies the moment in the video that drives the most intent. |
get_clicks_by_day |
CTA click totals broken down by day. |
Conversions
| Tool | Description |
|---|---|
get_conversions_by_day |
Conversion totals grouped by day, with unique session and device counts. |
Traffic Origin
| Tool | Description |
|---|---|
get_traffic_origin_stats |
Breaks down session metrics by traffic source. Supports utm_source, utm_medium, utm_campaign, utm_content, utm_term, src, sck. |
Dashboard Summary
| Tool | Description |
|---|---|
get_headlines_stats |
Returns a pre-computed summary (views, plays, engagement rate, clicks, and conversion rate) — the same numbers shown in the vTurb dashboard header. |
Typical Workflow
1. find_active_players → discover which player_id is in use today
2. get_session_stats → get the main KPIs for a date range
3. get_user_engagement → inspect the retention curve
4. get_clicks_timed → find when viewers click the CTA
5. get_conversions_by_day → track conversion trends
6. get_traffic_origin_stats → compare traffic sources
Rate Limiting
The client uses a token bucket algorithm configured for the Pro tier:
- Limit: 120 requests per minute
- Refill rate: 2 tokens per second
- Behavior: requests wait automatically if the bucket is empty — no errors thrown, no retries needed
Use get_quota_usage to check live consumption from vTurb's side.
Project Structure
vturb-mcp/
src/
env.ts — loads .env.* file at startup (via VTURB_ENV_FILE)
client.ts — rate-limited HTTP client (token bucket, 120 req/min)
index.ts — MCP server, registers all 15 tools
tools/ — one file per tool
list-players.ts
find-active-players.ts
get-quota-usage.ts
get-session-stats.ts
get-session-stats-by-day.ts
get-events-total.ts
get-events-by-day.ts
get-user-engagement.ts
get-user-engagement-by-day.ts
get-clicks-timed.ts
get-clicks-by-day.ts
get-conversions-by-day.ts
get-live-users.ts
get-headlines-stats.ts
get-traffic-origin-stats.ts
dist/ — compiled output (run npm run build)
.env.example — template for creating client-specific env files
API Reference
- vTurb Analytics API Docs
- Base URL:
https://analytics.vturb.net - Auth headers:
X-Api-Token+X-Api-Version: v1
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.