BrunoSan ArXiv Intelligence
AI research intelligence for AI, ML, NLP, vision and robotics with citations and entity graphs.
endpoint: https://arxiv.mcp.brunosan.de/mcp
registry: de.brunosan/arxiv
A
recent success 100% (30 probes) ·
MCP handshake OK
· protocol 2025-06-18
TLS valid (80d left) · latency 151.0 ms ·
HTTP 406 · auth open ·
tools 16
manifest f794bbd2211309db
· drift events seen here: 0
Embed this grade
<a href="https://golemreach.com/trust/s/19720"> <img src="https://golemreach.com/trust/badge/19720.svg" alt="golemreach trust grade"></a>
Recent probes
| time (UTC) | ok | grade | mcp | latency | tls | tools | hash |
|---|---|---|---|---|---|---|---|
| 2026-10-12T15:10:09Z | ✓ | A | ✓ | 151.0 ms | 80d | 16 | f794bbd2211309db |
| 2026-10-12T09:08:31Z | ✓ | A | ✓ | 169.0 ms | 81d | 16 | f794bbd2211309db |
| 2026-10-12T03:06:56Z | ✓ | A | ✓ | 161.0 ms | 81d | 16 | f794bbd2211309db |
| 2026-10-11T21:05:33Z | ✓ | A | ✓ | 155.0 ms | 81d | 16 | f794bbd2211309db |
| 2026-10-11T15:04:59Z | ✓ | A | ✓ | 78.0 ms | 81d | 16 | f794bbd2211309db |
| 2026-10-11T09:04:08Z | ✓ | A | ✓ | 145.0 ms | 82d | 16 | f794bbd2211309db |
| 2026-10-11T03:01:33Z | ✓ | A | ✓ | 148.0 ms | 82d | 16 | f794bbd2211309db |
| 2026-10-10T20:59:42Z | ✓ | A | ✓ | 142.0 ms | 82d | 16 | f794bbd2211309db |
| 2026-10-10T14:58:29Z | ✓ | A | ✓ | 148.0 ms | 82d | 16 | f794bbd2211309db |
| 2026-10-10T08:56:42Z | ✓ | A | ✓ | 179.0 ms | 83d | 16 | f794bbd2211309db |
| 2026-10-10T02:55:26Z | ✓ | A | ✓ | 150.0 ms | 83d | 16 | f794bbd2211309db |
| 2026-10-09T20:55:04Z | ✓ | A | ✓ | 373.0 ms | 83d | 16 | f794bbd2211309db |
| 2026-10-09T14:54:29Z | ✓ | A | ✓ | 102.0 ms | 83d | 16 | f794bbd2211309db |
| 2026-10-09T08:52:38Z | ✓ | A | ✓ | 104.0 ms | 84d | 16 | f794bbd2211309db |
| 2026-10-09T02:51:29Z | ✓ | A | ✓ | 119.0 ms | 84d | 16 | f794bbd2211309db |
| 2026-10-08T20:49:56Z | ✓ | A | ✓ | 98.0 ms | 84d | 16 | f794bbd2211309db |
| 2026-10-08T14:49:25Z | ✓ | A | ✓ | 137.0 ms | 84d | 16 | f794bbd2211309db |
| 2026-10-08T08:47:23Z | ✓ | A | ✓ | 114.0 ms | 85d | 16 | f794bbd2211309db |
| 2026-10-08T02:45:53Z | ✓ | A | ✓ | 119.0 ms | 85d | 16 | f794bbd2211309db |
| 2026-10-07T20:44:45Z | ✓ | A | ✓ | 109.0 ms | 85d | 16 | f794bbd2211309db |
| 2026-10-07T14:44:24Z | ✓ | A | ✓ | 162.0 ms | 85d | 16 | f794bbd2211309db |
| 2026-10-07T08:43:23Z | ✓ | A | ✓ | 151.0 ms | 86d | 16 | f794bbd2211309db |
| 2026-10-07T02:42:57Z | ✓ | A | ✓ | 124.0 ms | 86d | 16 | f794bbd2211309db |
| 2026-10-06T20:42:39Z | ✓ | A | ✓ | 131.0 ms | 86d | 16 | f794bbd2211309db |
| 2026-10-06T14:42:14Z | ✓ | A | ✓ | 205.0 ms | 86d | 16 | f794bbd2211309db |
| 2026-10-06T08:41:42Z | ✓ | A | ✓ | 116.0 ms | 87d | 16 | f794bbd2211309db |
| 2026-10-06T02:41:11Z | ✓ | A | ✓ | 263.0 ms | 87d | 16 | f794bbd2211309db |
| 2026-10-05T20:39:13Z | ✓ | A | ✓ | 75.0 ms | 87d | 16 | f794bbd2211309db |
| 2026-10-05T14:37:43Z | ✓ | A | ✓ | 73.0 ms | 87d | 16 | f794bbd2211309db |
| 2026-10-05T08:36:50Z | ✓ | A | ✓ | 100.0 ms | 88d | 16 | f794bbd2211309db |