Model Context Protocol (MCP) Server: io.usefulapi/hypertune

The io.usefulapi/hypertune MCP server evaluates and inspects Hypertune feature flags from your AI assistant. It exposes functionality focused on analyzing feature-flag configurations so they can be understood and verified during assistant-driven workflows.

🛠️ Key Features

• Evaluate and inspect Hypertune feature flags
• Designed for use from an AI assistant context

🚀 Use Cases

• Checking Hypertune feature-flag behavior while an assistant is running
• Inspecting feature-flag state to support decision-making in assistant interactions

⚡ Developer Benefits

• Centralizes Hypertune feature-flag evaluation and inspection for assistants
• Helps developers understand which feature flags apply during assistant flows

⚠️ Limitations

• Limited information is available beyond feature-flag evaluation and inspection from an AI assistant