Testomat.io MCP Server

Overview

The Testomat.io MCP server bridges the gap between AI assistants and the rich test management capabilities of Testomat.io. By exposing a set of well‑structured tools over the Model Context Protocol, it allows assistants such as Cursor to query, create, and update tests, test suites, and labels directly from the conversational interface. This eliminates the need to switch between a browser or CLI tool, streamlining test lifecycle management and enabling rapid iteration during development.

At its core, the server runs as a lightweight Node.js process that authenticates with Testomat.io using an API token and project identifier. Once running, it listens for MCP requests and forwards them to the corresponding Testomat.io REST endpoints. The mapping between MCP tools (e.g., , ) and HTTP methods is transparent to the user, letting developers focus on the intent of their queries rather than the underlying API mechanics. This abstraction is particularly valuable when integrating test data into larger AI workflows—such as automatically generating test cases from user stories or summarizing test coverage in natural language.

Key capabilities include:

• Comprehensive Test Operations: Retrieve all tests, search with flexible filters (TQL, labels, state), and manage test lifecycle events such as creation or updates.
• Suite Management: Organize tests hierarchically by creating suites and folders, searching suites, and retrieving root or specific suite details.
• Label Handling: Create and manage labels with custom fields, enabling fine‑grained categorization of tests.
• Seamless AI Integration: The MCP interface can be hooked into any AI assistant that supports the protocol, allowing developers to embed test queries into code reviews, documentation generation, or continuous integration pipelines.

Typical use cases span the software development spectrum. QA engineers can ask an assistant to list all failing tests in a particular suite, or to create a new test case based on an issue description. Product owners might generate reports summarizing test coverage across multiple projects, while CI/CD pipelines can trigger automated test creation or updates in response to code changes. Because the server operates over a standard protocol, it fits naturally into existing developer workflows without imposing new tooling or learning curves.

What sets this MCP server apart is its focus on the Testomat.io ecosystem—a platform already familiar to many teams—and its ability to expose that functionality through a unified, AI‑friendly interface. By turning complex REST interactions into simple conversational commands, it empowers developers to leverage the full power of Testomat.io while keeping their focus on code and collaboration.