by triple-whale
Connect Triple Whale to analyze e-commerce sales, build actionable sales dashboards, and use marketing attribution tools
Connects Claude to Triple Whale's e-commerce analytics API, letting you query sales, marketing, and profit data using natural language commands.
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.
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.
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.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Useful MCP listing: Triple Whale is the kind of server we cite when onboarding engineers to host + tool permissions.
I recommend Triple Whale for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Triple Whale is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Triple Whale has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, Triple Whale benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We evaluated Triple Whale against two servers with overlapping tools; this profile had the clearer scope statement.
Strong directory entry: Triple Whale surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We wired Triple Whale into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Triple Whale reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Triple Whale is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
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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?To install Triplewhale MCP Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install triplewhale --client claude
npx -y @triplewhale/mcp-server-triplewhale init $TRIPLEWHALE_API_KEYwhat's my meta spend in the last 7 days?mobynpm 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.
To run the tests you need to setup the .env file according to the .env.example file.
npm run test
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.