MCP server for AI dialogue using various LLM models via AceDataCloud
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Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Every successful check was an authentication response (401/403). The endpoint exists and enforces authentication; nothing behind that boundary — tools, behaviour, service health — has been observed. Latency here is time to authentication response. Tools: not measured — authentication required.
| when | check | result | http | latency | detail |
|---|---|---|---|---|---|
| 3 h ago | mcp initialize | ok | 401 | 192 ms | auth required |
| 10 h ago | mcp initialize | ok | 401 | 196 ms | auth required |
| 16 h ago | mcp initialize | ok | 401 | 192 ms | auth required |
| 23 h ago | mcp initialize | ok | 401 | 201 ms | auth required |
| 29 h ago | mcp initialize | ok | 401 | 210 ms | auth required |
| 35 h ago | mcp initialize | ok | 401 | 193 ms | auth required |
| 2 d ago | mcp initialize | ok | 401 | 192 ms | auth required |
| 2 d ago | mcp initialize | ok | 401 | 192 ms | auth required |
| 2 d ago | mcp initialize | ok | 401 | 192 ms | auth required |
| 3 d ago | mcp initialize | ok | 401 | 192 ms | auth required |
Attributed to the source that supplied each field. Treated as claims, not facts.
No long description beyond the summary.
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.