mcp-knowledge-graph
npm
v1.3.2
Published by shaneholloman — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.
Provides persistent memory for AI models through a local knowledge graph.
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 − 4 = 96. 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 |
|---|---|
| −3 | capability blast radius (moderate) — client exposure if the model is manipulated |
| −1 | publisher verification (public source) — no provenance, but the source is public and inspectable |
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.
Tool "aim_memory_unlink" can write, overwrite or delete files (keyword "unlink" in tool name). Verify it is scoped to a safe directory.
Fix: Constrain file operations to an explicit, non-sensitive root; reject path traversal.
Location: tool aim_memory_unlink
Tool "aim_memory_unlink" can mutate/egress but declares no destructiveHint. Clients that don't default to spec-safe behavior may not prompt before running it.
Fix: Declare accurate annotations, and gate destructive tools on user confirmation regardless.
Location: tool aim_memory_unlink
Each tool and what it can reach — statically extracted from the published source.
aim_memory_unlinkwrites filesaim_memory_add_factsno sensitive capabilityaim_memory_forgetno sensitive capabilityaim_memory_getno sensitive capabilityaim_memory_linkno sensitive capabilityaim_memory_list_storesno sensitive capabilityaim_memory_read_allno sensitive capabilityaim_memory_remove_factsno sensitive capabilityaim_memory_searchno sensitive capabilityQ4_Projectno sensitive capabilityScan 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 |
|---|---|---|---|---|
v1.3.2 latest |
A 96/100 | 2 | 1.13.0 | 2026-08-25 |
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.
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 mcp-knowledge-graph --online
Independent packages implementing the same tool, scanned with the same engine. Compare all 8 side by side →
Persistent memory for Claude through a local knowledge graph.
MCP server enabling persistent memory for Claude through a local knowledge graph with refactored observation handling
MCP server enabling persistent memory for Claude through a local knowledge graph
MCP server for enabling project memory through a Kuzu-powered knowledge graph
MCP Knowledge Graph Server
A Model Context Protocol (MCP) service for managing and visualizing knowledge graphs
FDA device & vehicle recall risk for AI agents: recall history, MAUDE trend, risk score.
Open-source MCP server exposing Agent402.Tools' catalog — 500+ strong: 400+ self-hostable tools + 100 multi-tool skill packs (security-audit, trend-analysis, structured-scrape, decode-blob, forecasting-bake-off) for AI agents — browser, web search & answe
Zero-dependency MCP server that gives AI agents a self-updating project memory in AGENTS.md. Returns merge instructions instead of mutating state, so every change is a reviewable diff.
MCP Apps UI resources and server helpers for n8n
MCP server providing comprehensive access to BookStack knowledge management system
MCP server for tracking achievements with STAR methodology