Model Context Protocol (MCP) server for automated test heal, Playwright orchestration, and AI-assisted QA workflows.
- capability exposure inferred + 35
- tool safety inferred + 5
inferred
The A–E grade is our heuristic synthesis — a "review this" prompt, not a verdict. Each factor is tagged by what backs it: attested (a verifiable record), reported (a third party's claim), or inferred (our own heuristic, e.g. permissions). See methodology.
grade last moved 1w ago · see ecosystem CVEs →
No known CVEs for this server.
- medium dangerous code
dynamic exec: eval()/exec()
- low dangerous code
env-secret-flows-to-network-py: An environment value reaches a network call. Review whether it is a credential leaving the process; the ordinary API-wrapper shape (read a key, call
- low dangerous code
env-secret-flows-to-network-py: An environment value reaches a network call. Review whether it is a credential leaving the process; the ordinary API-wrapper shape (read a key, call
analyzed commit 3161cc9 · analyzer v33 · 10h ago
danger signals2
- dynamic code execution eval()/exec() awarselabs-awarse-mcp-3161cc9/examples/healwright_locator.py :73
healed_locator = eval(resolved_call, {"page": self._page}) - dynamic code execution eval()/exec() awarselabs-awarse-mcp-3161cc9/src/sandbox/verifier.py :96
locator = eval(py_expression, {"page": page})
[](https://mcpobservatory.com/servers/github:awarselabs/awarse-mcp/security) Heuristic, inferred signals — false positives (legitimately powerful tools, forks, language ports) are expected. Treat each as "review this", not a verdict. See the ecosystem-wide picture on the security hub, or the fleet security of awarselabs.