AI-Powered Feature Management with Harness MCP Server and Claude Code | Blog

Harness has introduced support for the Model Context Protocol (MCP) within its Feature Management and Experimentation (FME) platform, which facilitates managing feature flags using AI-powered IDEs like Claude Code and Windsurf. This integration allows developers to use natural language prompts to explore, understand, and manage feature flags directly within their development environment, thereby reducing context switching and simplifying workflows. The tools enable teams to audit, compare, and inspect feature flags across different projects and environments, aligning with best practices for governance and risk mitigation. With a user-friendly interface, non-technical stakeholders can also query and understand feature flags without needing deep technical expertise. The approach aims to streamline feature management, making it more conversational and integrated into the development workflow, ultimately helping teams make faster, data-driven decisions.

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