Triplewhale MCP Server

Overview

Triplewhale MCP Server bridges the gap between Claude Desktop (or any Model Context Protocol client) and the Triplewhale marketing analytics platform. By exposing a set of MCP‑compatible tools, it lets developers and marketers ask natural‑language questions that translate directly into API calls against Triplewhale, eliminating the need to write custom SDK code or manually craft HTTP requests. This integration is particularly valuable for teams that want to harness the conversational power of LLMs while still accessing real‑time campaign data, revenue metrics, and attribution insights from Triplewhale.

At its core, the server implements a single MCP tool named moby. When invoked, it forwards user queries to the Triplewhale API using an authenticated key supplied during initialization. The server then parses the response and presents it in a format that Claude can render as a natural‑language answer. This workflow allows users to ask questions such as “Was my net profit positive last month?” or “Rank countries by order revenue and new users for the last quarter,” and receive concise, context‑aware replies without leaving their conversational interface.

Key capabilities of the Triplewhale MCP Server include:

• Seamless authentication: A one‑time initialization step captures the Triplewhale API key, after which all subsequent requests are automatically signed.
• Real‑time analytics: Queries can span a wide range of metrics—net profit, ROAS, attribution models, spend by channel—reflecting the latest data in Triplewhale.
• Declarative prompts: By leveraging MCP’s prompt and sampling features, developers can fine‑tune how the LLM interprets and formats responses, ensuring consistency across different use cases.
• Extensibility: Although the current release ships with a single tool, the MCP framework allows additional tools to be added for more specialized reporting or data manipulation.

In practice, marketers can use this server to generate ad‑performance dashboards on demand, perform quick “what‑if” analyses, or surface actionable insights during strategy meetings—all through a conversational interface. Developers can integrate the MCP server into larger workflow orchestration systems, enabling automated reporting pipelines where an LLM triggers data pulls and formats summaries for downstream consumption.

The Triplewhale MCP Server stands out because it marries the conversational flexibility of Claude with the robust, enterprise‑grade analytics of Triplewhale in a plug‑and‑play package. By abstracting away API intricacies and providing a natural language gateway, it empowers teams to focus on decision‑making rather than code maintenance.