MCP server for AI dialogue across multiple LLM models via Ace Data Cloud.
- trust mitigators mixed − 11
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 56s ago · see ecosystem CVEs →
No known CVEs for this server.
No tool-safety findings — heuristic detectors run on the compute-risk cadence; a finding appears when a tool trips a rule.
analyzed commit 970d32d · analyzer v27 · 1w ago
skills & prompt files 1
- agent-rules AceDataCloud-AiChatMCP-970d32d/CLAUDE.md
[](https://mcpobservatory.com/servers/github:AceDataCloud/AiChatMCP/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 AceDataCloud.