Baseline MCP Server

The Baseline MCP Server fills a niche that many AI‑assistant developers have encountered: the need for reliable, up‑to‑date browser support data when generating or validating web code. By tapping into the Web Platform Dashboard API, it exposes a concise set of baseline status values—, , , and —that succinctly communicate whether a particular web feature is ready for production use across major browsers. This abstraction allows an assistant to answer questions like “Is the API safe for all modern browsers?” without the user having to manually look up compatibility tables.

For developers, the server offers a lightweight MCP interface that can be called from any AI client. The core capabilities include: searching for features by keyword, retrieving the baseline status, providing detailed implementation dates per browser version, and filtering results to exclude specific browsers such as Chrome or Safari. These functions are packaged in a single, well‑documented MCP endpoint that can be invoked with simple JSON queries. Because the server runs on Deno or Docker, it can be integrated into a local development environment, CI pipelines, or cloud‑based AI workflows without significant overhead.

Typical use cases span from code generation tools that automatically add polyfills based on real‑world support, to documentation assistants that surface the latest compatibility notes within README files. In a web‑development IDE, an AI helper could prompt the user when they attempt to use a feature that is only in certain browsers, suggesting alternative APIs or fallback strategies. For educational platforms, the server can power interactive lessons that show live browser support charts as learners experiment with new web standards.

What sets this MCP server apart is its focus on the baseline concept, which aligns closely with MDN’s compatibility terminology. By providing a single source of truth that mirrors the Web Platform Dashboard, it eliminates ambiguity between different data providers and ensures consistency across AI‑generated content. The server’s ability to filter by browser also gives developers fine control over the scope of compatibility checks, making it ideal for projects targeting specific user bases or legacy environments.

In short, the Baseline MCP Server gives AI assistants a dependable, API‑driven gateway to current web platform support data. It empowers developers to write safer, more inclusive code with confidence that the underlying browser compatibility information is accurate and up‑to‑date.