Is SMRITI Memory MCP server safe?
Yes, with the usual care.
Safe to use. Minor gaps such as a missing repository or slower maintenance.
No critical or high findings in the latest scan.
How SMRITI Memory compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 78/100
- higher than 57% of 48,243 servers
- Tools that change things
- 11%
- typical: 0%. Fewer write tools means less an agent can break
What its tools let an agent do: 17 read · 2 change
Public scan report
scanner v0.1.10 · 2026-10-29 · same rubric, same numbers if you re-run it
1 medium
- Code scan23 source files scanned20/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 6 days ago15/15
- Maintainer identitynamespace and repository owner differ4/10
Findings (1)
- mediumsubprocess with shell=True
exec.shell-truesmriti_memcore-1.4.17/smriti_memcore/integrations/install.py: …| bash" subprocess.run(cmd, shell=True, check=True) except Exception a…
Overall 78/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON
Other servers that do what SMRITI Memory does
- Nautilus Compass MemoryLocal-first long-term memory for AI agents, with byte-recomputable signed verification receipts.not reviewedEstablishedB
- Codebase MemoryCodebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.not reviewedWidely usedC
- Neo4j MemoryMCP Neo4j Knowledge Graph Memory Servernot reviewedEstablishedA