Mcp Server Endoflife

The EOL MCP Server is a specialized Model Context Protocol service that empowers AI assistants—such as Claude—to retrieve real‑time information about software end‑of‑life (EOL) dates, support status, and security vulnerabilities. By tapping into the endoflife.date API, it bridges the gap between static knowledge bases and the dynamic lifecycle data that developers rely on to keep their stacks secure and compliant.

At its core, the server offers a suite of tools that answer common lifecycle queries in natural language. A single prompt can trigger the tool to fetch an EOL date, LTS status, and the latest patch version for any supported product. The newer tool expands this by returning the full release cycle, support timeline, and a calculation of remaining days before EOL. For teams that need to plan upgrades, provides side‑by‑side analysis of the current and latest releases, suggesting when an upgrade is critical. Security teams benefit from , which scans a specified version for known CVEs and verifies whether vendor patches are available.

These capabilities translate into tangible workflows: a DevOps engineer can ask the AI, “Is Node.js 14 still supported?” and receive an instant validation that includes both EOL timing and security posture. A product manager can compare two releases of a library to determine the safest upgrade path, while an auditor can generate a compliance report that lists all products in a repository that are past their support window. The server’s caching mechanism ensures repeated queries for the same product/version pair return instantly, reducing API call overhead.

What sets this MCP apart is its natural‑language friendliness combined with a comprehensive, up‑to‑date dataset. Developers can embed the server into CI pipelines, chat interfaces, or documentation generators without writing custom API wrappers. By exposing a consistent set of tools and prompts, the EOL MCP Server lets AI assistants act as knowledgeable lifecycle consultants—automatically flagging unsupported software, recommending upgrades, and highlighting security risks—all within the context of a single conversation.