financeanalytics-data

TripleWhale MCP Server

by triple-whale

TripleWhale MCP Server — use Model Context Protocol to query TripleWhale ecommerce analytics via natural-language conver

An implementation of Model Context Protocol (MCP) that allows users to interact with TripleWhale's e-commerce analytics platform using natural language queries through Claude Desktop.

github stars

6

Natural language queries for business metricsRequires TripleWhale API key

best for

  • / E-commerce business owners tracking performance
  • / Marketing teams analyzing ad campaign ROI
  • / Analysts creating revenue and profit reports

capabilities

  • / Query net profit and revenue metrics
  • / Analyze advertising ROAS by attribution model
  • / Rank countries by order revenue and user acquisition
  • / Track Meta and other ad platform spending
  • / Generate business performance reports
  • / Access TripleWhale analytics through natural language

what it does

Connects Claude Desktop to TripleWhale's e-commerce analytics platform, enabling natural language queries about profit, revenue, ad performance, and other business metrics.

about

TripleWhale MCP Server is an official MCP server published by triple-whale that provides AI assistants with tools and capabilities via the Model Context Protocol. TripleWhale MCP Server — use Model Context Protocol to query TripleWhale ecommerce analytics via natural-language conver It is categorized under finance, analytics data.

how to install

You can install TripleWhale MCP Server 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

TripleWhale MCP Server 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 TripleWhale MCP Server MCP server?
TripleWhale MCP Server 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 TripleWhale MCP Server?
This profile displays 35 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.4 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.435 reviews
  • Daniel Anderson· Dec 24, 2024

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

  • Chen Gonzalez· Dec 12, 2024

    We evaluated TripleWhale MCP Server against two servers with overlapping tools; this profile had the clearer scope statement.

  • Amelia Srinivasan· Dec 8, 2024

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

  • Ishan Mehta· Nov 27, 2024

    TripleWhale MCP Server reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Neel Singh· Nov 15, 2024

    Strong directory entry: TripleWhale MCP Server surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Amelia Sharma· Nov 3, 2024

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

  • Daniel Thomas· Oct 22, 2024

    Strong directory entry: TripleWhale MCP Server surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Ira Anderson· Oct 18, 2024

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

  • Xiao Thomas· Oct 6, 2024

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

  • Chen Ramirez· Sep 25, 2024

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

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