@goldhold/mcp-server
npm
v1.6.0
Published by @goldhold — 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.
GoldHold MCP server -- persistent memory for AI agents. Search, store, and recall across sessions. https://goldhold.ai
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.
Each tool and what it can reach — statically extracted from the published source.
goldhold_summaryingests untrusted inputgoldhold_agentsno sensitive capabilitygoldhold_batchno sensitive capabilitygoldhold_channelsno sensitive capabilitygoldhold_checkpointno sensitive capabilitygoldhold_classifyno sensitive capabilitygoldhold_closeno sensitive capabilitygoldhold_discoverno sensitive capabilitygoldhold_focusno sensitive capabilitygoldhold_inboxno sensitive capabilitygoldhold_memory_namespacesno sensitive capabilitygoldhold_memory_readno sensitive capabilitygoldhold_plan_checkpointno sensitive capabilitygoldhold_plan_closeno sensitive capabilitygoldhold_plan_createno sensitive capabilitygoldhold_plan_decisionno sensitive capabilitygoldhold_plan_factno sensitive capabilitygoldhold_plan_restoreno sensitive capabilitygoldhold_plan_taskno sensitive capabilitygoldhold_preflightno sensitive capabilitygoldhold_profileno sensitive capabilitygoldhold_restoreno sensitive capabilitygoldhold_resumeno sensitive capabilitygoldhold_rt_conversationno sensitive capabilitygoldhold_rt_messagesno sensitive capabilitygoldhold_rt_presenceno sensitive capabilitygoldhold_rt_sendno sensitive capabilitygoldhold_rt_thread_createno sensitive capabilitygoldhold_rt_threadsno sensitive capabilitygoldhold_searchno sensitive capabilitygoldhold_sendno sensitive capabilitygoldhold_statusno sensitive capabilitygoldhold_storeno sensitive capabilitygoldhold_task_completeno sensitive capabilitygoldhold_task_createno sensitive capabilitygoldhold_task_listno sensitive capabilitygoldhold_task_updateno sensitive capabilitygoldhold_turnno 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 |
|---|---|---|---|---|
v1.6.0 latest |
A 96/100 | 0 | 1.13.0 | 2026-09-08 |
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 @goldhold/mcp-server --online
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