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financeanalytics-data

Triple Whale▌

by triple-whale

Connect Triple Whale to analyze e-commerce sales, build actionable sales dashboards, and use marketing attribution tools

Integrates with Triple Whale's API to enable querying and analysis of e-commerce performance metrics for sales reporting and marketing strategy optimization.

github stars

★ 6

GitHubnpm
Natural language queriesRequires Triple Whale API key

best for

  • / E-commerce business owners tracking performance
  • / Marketing managers analyzing ad spend ROI
  • / Analysts creating sales reports
  • / Teams monitoring profit margins

capabilities

  • / Query net profit and revenue metrics
  • / Analyze ad ROAS by attribution model
  • / Rank countries by revenue and user acquisition
  • / Check Meta advertising spend data
  • / Generate sales performance reports
  • / Compare metrics across time periods

what it does

Connects Claude to Triple Whale's e-commerce analytics API, letting you query sales, marketing, and profit data using natural language commands.

about

Triple Whale is an official MCP server published by triple-whale that provides AI assistants with tools and capabilities via the Model Context Protocol. Connect Triple Whale to analyze e-commerce sales, build actionable sales dashboards, and use marketing attribution tools It is categorized under finance, analytics data.

how to install

You can install Triple Whale in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Triple Whale is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Triplewhale MCP Server

npm version npm downloads License: MIT smithery badge

Model Context Protocol (MCP) is a new, standardized protocol for managing context between large language models (LLMs) and external systems. In this repository, we provide an installer as well as an MCP Server for Triplewhale.

This lets you use Claude Desktop, or any MCP Client, to use natural language to accomplish things with Triplewhale, e.g.:

  • Was my net profit positive last month?.
  • Rank countries by order revenue and new users for the last quarter..
  • Give me ads ROAS over the last 7 days and break it out by attribution model?

Claude Setup

Installing via Smithery

To install Triplewhale MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install triplewhale --client claude

Requirements

  • Node.js >= v18.0.0
  • Claude Desktop
  • Triplewhale API key - you can generate one through the Triplewhale console. Learn more or click here for quick access.

How to use locally

  1. Run npx -y @triplewhale/mcp-server-triplewhale init $TRIPLEWHALE_API_KEY
  2. Restart Claude Desktop
  3. You should now be able to try a simple command such as what's my meta spend in the last 7 days?

Supported Tools

  • moby

Development with Claude Desktop

npm install
npm run build
npm run watch # You can keep this open.
node dist/index.js init $TRIPLEWHALE_API_KEY

Then, restart Claude each time you want to test changes.

Testing

To run the tests you need to setup the .env file according to the .env.example file.

npm run test

FAQ

What is the Triple Whale MCP server?
Triple Whale is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Triple Whale?
This profile displays 56 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.6★★★★★56 reviews
  • ★★★★★Chaitanya Patil· Dec 28, 2024

    Useful MCP listing: Triple Whale is the kind of server we cite when onboarding engineers to host + tool permissions.

  • ★★★★★Alexander Agarwal· Dec 24, 2024

    I recommend Triple Whale for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • ★★★★★Hiroshi Garcia· Dec 24, 2024

    Triple Whale is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • ★★★★★Kaira Brown· Dec 24, 2024

    Triple Whale has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • ★★★★★Kofi Taylor· Dec 4, 2024

    According to our notes, Triple Whale benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • ★★★★★Piyush G· Nov 19, 2024

    We evaluated Triple Whale against two servers with overlapping tools; this profile had the clearer scope statement.

  • ★★★★★Kiara Garcia· Nov 15, 2024

    Strong directory entry: Triple Whale surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • ★★★★★Hiroshi Flores· Nov 15, 2024

    We wired Triple Whale into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • ★★★★★Alexander Bansal· Nov 15, 2024

    Triple Whale reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • ★★★★★Nia Huang· Nov 11, 2024

    Triple Whale is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

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