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Is SMRITI Memory MCP server safe?

Yes, with the usual care.

B78/100grade B

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=Trueexec.shell-true
    smriti_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

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    B
  • Codebase Memory
    Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
    C
  • Neo4j Memory
    MCP Neo4j Knowledge Graph Memory Server
    A

SMRITI Memory reviews, tools and install