mcp-perf-suite

The project adheres to good practices by using environment variables for API keys and secrets. No 'eval' or direct arbitrary code execution functions are observed. However, several MCPs (JMeter, PerfReport) use `subprocess.Popen` or `pypandoc.convert_file` (which internally calls `pandoc`) for external command execution. While arguments are constructed with path joining and appear well-formed, a risk exists if user-supplied input to `test_run_id` or `jmx_path` were maliciously crafted to inject commands, though current implementations mitigate this by using argument lists for subprocess. The optional 'ssl_verification: disabled' setting in various `config.yaml` files presents a critical risk if enabled in production environments, as it allows insecure network connections. The Datadog MCP's 'custom_query' feature allows arbitrary Datadog query strings, which, if misused, could lead to excessive API resource consumption or unexpected data retrieval, though it's not a code execution vulnerability.