AI-powered desktop tool for test automation and security testing, built on the Model Context Protocol (MCP). Free and open-source.
- capability exposure inferred + 35
- recent drift inferred + 20
- tool safety inferred + 12
- trust mitigators mixed − 3
inferred mixed
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 3d ago · see ecosystem CVEs →
- B · 29 → D · 64
- B · 32 → B · 29
- B · 24 → B · 32
No known CVEs for this server.
- high dangerous code
committed secret: Anthropic key · dynamic exec: __import__()
analyzed commit b4abba3 · analyzer v33 · 3d ago
skills & prompt files 2
danger signals4
- dynamic code execution __import__() LJCGJ-T2M_Security_Manager-b4abba3/T2M_Security_Manager/agente_mcp.py :1421
__import__(modulo) - dynamic code execution __import__() LJCGJ-T2M_Security_Manager-b4abba3/T2M_Security_Manager/gerador_ia.py :877
__import__(modulo) - dynamic code execution __import__() LJCGJ-T2M_Security_Manager-b4abba3/plugin_claude/t2m-security-manager-5.0.0.mcpb!/server/agente_mcp.py :1421
__import__(modulo) - committed secret Anthropic key LJCGJ-T2M_Security_Manager-b4abba3/testar_regressao.py :365
sk-ant…(32 chars, redacted)
- recent drift +20 capability drift →
[](https://mcpobservatory.com/servers/github:LJCGJ/T2M_Security_Manager/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 LJCGJ.