{"id":"microsoft-mcp-interviewer","name":"mcp-interviewer","af_score":47.5,"security_score":48.5,"reliability_score":26.2,"what_it_does":"mcp-interviewer is a Python CLI (and library) that interviews an MCP server by running it (typically via an external command), performing constraint checking on tool metadata/capabilities, optionally running functional tests by invoking tools using an OpenAI-compatible chat completions client, optionally performing experimental LLM-based evaluations/judging, and generating a Markdown + JSON report with collected statistics and results.","best_when":"You can run the target MCP server in an isolated environment (e.g., container), and you want repeatable inspection/testing with generated reports, optionally including LLM-assisted evaluations.","avoid_when":"You cannot isolate/sandbox the server command, you need a stable programmatic HTTP API for agents, or you cannot tolerate experimental LLM evaluation being non-deterministic and requiring manual inspection.","last_evaluated":"2026-03-30T13:41:43.569640+00:00","has_mcp":false,"has_api":false,"auth_methods":["OpenAI-compatible chat completions credentials passed via OpenAI client (e.g., api_key) through --model client configuration"],"has_free_tier":false,"known_gotchas":["Runs the provided MCP server command in a child process; for remote servers (e.g., SSE URL), behavior may differ and requires network access.","Using --test/--judge* causes tool invocation; tools may have side effects or access host resources depending on how the server is sandboxed.","LLM-generated plans/evaluations are experimental and may require manual inspection."],"error_quality":0.0}