Guide to using Statsig's MCP Server

The Model Context Protocol (MCP) is a standard that facilitates the interaction between AI systems and software systems, crucial for accessing critical data and workflows, especially when using AI coding agents that operate outside the integrated development environment (IDE). The Statsig MCP server exemplifies this by integrating feature gates, experiments, and metrics directly into AI development workflows, enhancing visibility and control. This integration allows AI agents to interact seamlessly with Statsig tools, such as feature flags and experiment configurations, thereby reducing context-switching and enabling a streamlined development process. Through OAuth-based secure connections, AI coding assistants like Codex and Cursor can use the Statsig MCP server to manage configurations, retrieve data, and maintain consistent and informed development cycles. By embedding these capabilities into AI-driven workflows, developers can ensure that AI agents operate with necessary guardrails and measurement tools, thus supporting faster, more reliable, and data-driven coding practices without compromising on control or visibility.