MCP Interviewer is Microsoft's open-source pre-flight tool for MCP servers, bundling constraint checking, optional functional testing, experimental LLM evaluation, and report generation into one CLI (also usable as a Python library). It helps developers find configuration and behavior issues earlier and can gate CI/CD via --fail-on-warnings. However, it executes arbitrary server commands, invokes tools during testing, and is explicitly labeled research-and-experimental with output that needs manual review, so it is not suitable for production use without isolation and scrutiny.
MCP Interviewer is a Python CLI tool from Microsoft that inspects an MCP server before LLM agents rely on it. It offers three layers: constraint checking (for example OpenAI's limits on tool count, name length, name pattern, and token length), optional functional testing (a specified LLM builds a test plan from the server's capabilities and executes it by calling tools, collecting statistics on observed behavior), and experimental LLM evaluation (structured and natural-language assessments of the server's features). Results are written as a Markdown report plus a companion raw-data JSON file. The tool executes the MCP server command you provide, so Microsoft recommends running servers inside containers; it is described as developed for research and experimental purposes and needs further validation before commercial or real-world use.