Cuba Memorys (PyPI) MCP Server
cuba-memorys
PyPI
v1.26.0
Published by an unidentified publisher — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.
Persistent memory MCP server for AI agents (v0.15). 29 tools: bitemporal facts, sqlx-migrate, BM25+MMR+OOD hybrid retrieval, graph metrics, conformal prediction, Hebbian/BCM, project scoping, CFR-21 audit chain, tree-sitter codegraph, git-native sync hooks. Rust + PostgreSQL + pgvector.
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 13 = 87. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −5 | publisher verification (unlocatable) — no provenance and no public repository to inspect |
| −8 | inspection depth (metadata) — how much of the target the scan could see |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Findings 0
What this scan could not see
- No tools were enumerated, so prompt-injection, capability and toxic-flow analysis had no tool surface to inspect. To grade a package’s real runtime tools, scan the running server: --command "npx -y <package>".
- The implementation source was not read — this reflects registry metadata only. Add --online to fetch and analyze the published package source.
Versions 7
Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v1.26.0 latest |
B 87/100 | 0 | 1.13.0 | 2026-08-25 |
v1.25.0 |
B 87/100 | 0 | 1.12.1 | 2026-08-14 |
v1.24.0 |
B 87/100 | 0 | 1.12.1 | 2026-08-13 |
v1.23.0 |
B 87/100 | 0 | 1.12.1 | 2026-08-04 |
v1.22.0 |
B 87/100 | 0 | 1.12.1 | 2026-07-31 |
Show 2 more versions ↓
v1.20.0 |
B 87/100 | 0 | 1.12.1 | 2026-07-29 |
v1.17.0 |
B 87/100 | 0 | 1.12.1 | 2026-07-27 |
Embed this score
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
Verify this score yourself
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
npx mcptrustchecker scan cuba-memorys --online --registry pypiOther implementations of Cuba Memorys 1
Independent packages implementing the same tool, scanned with the same engine. Compare all 2 side by side →
More in Web, Search & Scraping
Agent IP: MCP server with patents search tools
MCP server for searching the Agent Almanac — the public catalog of 9,000+ Model Context Protocol servers. Find, install, and discover MCP servers from inside Claude Desktop, Cursor, Continue, Zed, or any MCP-aware agent.
Search agents & MCP servers by capability, with daily-observed pricing, liveness and market data.
Verified merchants accepting agentic payments on Lightning/L402/BOLT12/USDT — search, verify, pay.
Airframe MCP Client - Connect agents to Airframe's product intelligence
Amazon product search demand over time, with growth for any keyword. Free key at trendsmcp.ai