AI-Powered MCP server for KQL query execution with Natural Language to KQL (NL2KQL) conversion, intelligent schema memory, RAG-enhanced context assistance, and semantic search capabilities
- capability exposure inferred + 26
- recent drift inferred + 12
- tool safety inferred + 5
- trust mitigators mixed − 8
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.
graded 8m ago · see ecosystem CVEs →
- B · 18 → C · 35
- A · 0 → B · 18
No known CVEs for this server.
- medium dangerous code
dynamic exec: __import__()
analyzed commit d014cb8 · analyzer v28 · 2d ago
danger signals1
- dynamic code execution __import__() 4R9UN-mcp-kql-server-d014cb8/tests/test_package.py :45
__import__(module_name)
- recent drift +12 capability drift →
[](https://mcpobservatory.com/servers/github:4R9UN/mcp-kql-server/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 4R9UN.