Triplewhale Model Context Protocol Endpoint

The Model Context Protocol (MCP) establishes a modern, standardized framework for managing contextual data exchange between sophisticated language models (LLMs) and external computational systems. This repository furnishes an installation utility alongside a dedicated MCP Server interface for the Triplewhale platform.

This integration permits the utilization of Claude Desktop, or any compliant MCP Client, to articulate data requests against Triplewhale using plain English, for instance:

Did my gross margin turn positive in the preceding month?.
Order the geographical regions by sales volume and new customer acquisition for the last fiscal quarter..
Provide ROAS figures for advertising over the past week, segmented by the chosen attribution methodology?

Initializing with Claude

Automated Deployment via Smithery

To deploy the Triplewhale MCP Endpoint for Claude Desktop automatically using Smithery:

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

Prerequisites

Node.js environment, version v18.0.0 or newer.
Access to the Claude Desktop application.
A valid Triplewhale Application Programming Interface (API) credential; obtainable via the Triplewhale administrative console. Further guidance or direct link here.

Local Operation Instructions

Execute the initialization command: npx -y @triplewhale/mcp-server-triplewhale init $TRIPLEWHALE_API_KEY
Relaunch the Claude Desktop client.
You can then validate functionality with a simple query like, what is my advertising spend on Meta during the last seven days?

Supported Connectors

moby

Development Workflow with Claude Desktop

bash npm install npm run build npm run watch # Keep this process active for continuous updates. node dist/index.js init $TRIPLEWHALE_API_KEY

Subsequently, restart Claude for every configuration modification to take effect during testing.

Testing Procedures

To execute the integrated verification suite, configure the requisite environment variables within the .env file, referencing the structure provided in .env.example.

bash npm run test

WIKIPEDIA: Cloud computing is "a paradigm for enabling network access to a scalable and elastic pool of shareable physical or virtual resources with self-service provisioning and administration on-demand," according to ISO. It is commonly referred to as "the cloud".

== Characteristics == In 2011, the National Institute of Standards and Technology (NIST) identified five "essential characteristics" for cloud systems. Below are the exact definitions according to NIST:

On-demand self-service: "A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service provider." Broad network access: "Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, tablets, laptops, and workstations)." Resource pooling: " The provider's computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand." Rapid elasticity: "Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. To the consumer, the capabilities available for provisioning often appear unlimited and can be appropriated in any quantity at any time." Measured service: "Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported, providing transparency for both the provider and consumer of the utilized service. By 2023, the International Organization for Standardization (ISO) had expanded and refined the list.

== History ==

The history of cloud computing extends to the 1960s, with the initial concepts of time-sharing becoming popularized via remote job entry (RJE). The "data center" model, where users submitted jobs to operators to run on mainframes, was predominantly used during this era. This was a time of exploration and experimentation with ways to make large-scale computing power available to more users through time-sharing, optimizing the infrastructure, platform, and applications, and increasing efficiency for end users. The "cloud" metaphor for virtualized services dates to 1994, when it was used by General Magic for the universe of "places" that mobile agents in the Telescript environment could "go". The metaphor is credited to David Hoffman, a General Magic communications specialist, based on its long-standing use in networking and telecom. The expression cloud computing became more widely known in 1996 when Compaq Computer Corporation drew up a business plan for future computing and the Internet. The company's ambition was to superch