Plainsignal MCP Server Overview

The Plainsignal MCP Server bridges the gap between AI assistants and the rich analytics data provided by PlainSignal. By exposing a set of well‑defined tools over the Model Context Protocol, it lets Claude and other MCP‑compatible assistants query domain metrics, generate reports, and drill down into sub‑reports without leaving the conversational context. This capability is essential for data scientists, product managers, and marketing analysts who rely on real‑time insights while interacting with an AI.

At its core, the server acts as a lightweight gateway that translates MCP tool calls into authenticated HTTP requests against PlainSignal’s REST API. Developers simply supply an access token, and the server handles authentication, request construction, and response parsing. The result is a clean, stateless interface that can be invoked from any MCP client over STDIO. This design keeps the server lightweight while ensuring secure, token‑based access to sensitive analytics data.

Key features include:

• Report Retrieval (): Fetches aggregate metrics for a chosen domain and time window, supporting month, year, or day selections. Users can specify aggregation granularity (hourly or daily) and apply custom filters, enabling tailored views of traffic, conversions, or engagement.
• Sub‑Report Exploration (): Delivers deeper insights into specific aspects such as page performance or entry pages. Pagination support allows handling large result sets efficiently.
• Flexible Configuration: The API base URL can be overridden via command‑line flags, environment variables, or programmatic constructors, making the server adaptable to on‑premises deployments or custom endpoints.
• MCP SDK Integration: Built on the official MCP SDK, it guarantees compatibility with a wide range of AI assistants and ensures adherence to protocol standards.

Typical use cases span from automated reporting pipelines—where an assistant can pull the latest quarterly traffic data into a dashboard—to interactive troubleshooting, where a user asks for “show me pages with the lowest conversion rate in March 2024” and receives a filtered sub‑report instantly. In product analytics, teams can quickly iterate on hypotheses by querying historical trends directly from the conversation.

Because the server operates over STDIO, it can be embedded in existing development workflows or launched as a standalone service. Developers can integrate it into CI/CD pipelines, trigger it from chat interfaces, or combine it with other MCP servers to build composite analytical workflows. The combination of secure token handling, flexible configuration, and concise tool definitions makes Plainsignal MCP Server a powerful ally for any team looking to fuse AI-driven dialogue with actionable analytics.