MCP Observatory
github analyzed 1064544

ryojerryyu/mcp-server-memos-py

github

A Python package enabling LLM models to interact with the Memos server via the MCP interface for searching, creating, retrieving, and managing memos.

maintainer
ryojerryyu
license
MIT
first seen
2026-05-22
last seen
2026-06-14
releases · 30d
0
short id
risk6/100 · heuristic grade
A minimal
  • abandonmentinferred+6

inferred

The A–E grade is our heuristic synthesis — a "review this" prompt, not a verdict. Each factor is tagged by what backs it: attested (a verifiable record), reported (a third party's claim), or inferred (our own heuristic, e.g. permissions). See methodology.

graded 14m ago · see ecosystem CVEs →

risk trajectory1 movements
  • A · 12 → A · 6
vulnerabilities0 CVEs

no known CVEs for this server.

tool safetyall quiet

No tool-safety findings — heuristic detectors run on the compute-risk cadence; a finding appears when a tool trips a rule.

other grade factorsevidence elsewhere
embed badgereadme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/mcpso:RyoJerryYu/mcp-server-memos-py/badge.svg)](https://mcpobservatory.com/servers/mcpso:RyoJerryYu/mcp-server-memos-py/security)

Heuristic, inferred signals — false positives (legitimately powerful tools, forks, language ports) are expected. Treat each as "review this", not a verdict. See the ecosystem-wide picture on the security hub, or the fleet security of ryojerryyu.