MCP.Market

Is Memory for AI MCP server safe?

Probably. Read the findings first.

C69/100grade C

Use with care. Some checks failed or could not be verified.

How Memory for AI compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
69/100
higher than 33% of 48,255 servers

Release history: 2 versions in the registry since 2026-09-12, latest 2026-09-18, typically one every 6 days.

Public scan report

scanner v0.1.10 · 2026-10-02 · same rubric, same numbers if you re-run it

3 medium
  • Code scan3 source files scanned; 4 source files scanned10/25
  • –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 5 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10

Findings (3)

  • mediumnpm install lifecycle script presentinstall.script
  • mediumnpm install lifecycle script presentinstall.script
    package.json: …est": "node --test test/*.test.js", "postinstall": "node install.js" }, "engines": { …
  • mediumsubprocess with shell=Trueexec.shell-true
    memory_for_ai-0.11.0/src/memory_for_ai/_cli.py: …run(args) # noqa: S603 — list form, no shell=True sys.exit(result.returncode) d…
Overall 69/100. 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 Memory for AI does

  • 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
  • Trace
    Code graph MCP: 81 languages, 91 frameworks, 72.7% fewer PR-review tokens, comprehension at parity
    A

Memory for AI reviews, tools and install