HR MCP Server

The HR MCP Server is a dedicated Model Context Protocol (MCP) endpoint that bridges Claude Desktop with an internal Human Resources information system. By exposing a set of well‑defined tools, the server allows AI assistants to query employee records, perform complex searches, manage global leave requests, and translate HR‑specific text—all while preserving data privacy and compliance constraints. For developers building conversational agents that need instant, structured access to workforce information, this server eliminates the need for custom API wrappers or manual data pipelines.

At its core, the server implements four primary capabilities. First, retrieves a single employee’s profile by ID, returning personal details, employment history, skills, benefits, and optional sensitive fields. Second, offers a flexible search engine that supports multi‑field queries, sorting, and output formatting, enabling users to find staff by department, location, performance rating, or even salary thresholds. Third, streamlines the global travel leave workflow by allowing agents to submit requests that automatically trigger approval chains and compliance reminders. Finally, the prompt provides contextual translation for HR terminology, ensuring that phrases like “benefits” or “period” retain their precise meaning across languages.

These features unlock a range of practical use cases. HR chatbots can quickly pull up an employee’s leave balance or benefit eligibility, answer onboarding questions with accurate data, and guide managers through the global travel approval process—all within a single conversation. Developers can also embed the server in internal tools, creating voice‑enabled assistants that pull real‑time HR data without exposing raw APIs. Because the MCP protocol handles authentication, rate limiting, and payload validation automatically, teams can focus on business logic rather than security plumbing.

The server’s integration is straightforward for MCP‑aware clients. Claude Desktop connects via a local tool configuration, launching the server process and exchanging structured JSON messages over stdio. Once connected, Claude can invoke any of the four tools using natural language prompts, and the server responds with validated data or actionable results. The architecture is documented in a dedicated file, detailing how the TypeScript code interacts with the underlying data store and the MCP SDK.

In summary, the HR MCP Server offers a clean, type‑safe bridge between AI assistants and enterprise HR systems. By providing ready‑made tools for employee lookup, search, leave management, and translation—all wrapped in the MCP framework—it empowers developers to build intelligent, compliant, and user‑friendly HR applications with minimal effort.