@memoryrelay/mcp-server
npm
v0.4.1
Published by @memoryrelay — 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.
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 "memory_store_async" takes a URL/host parameter "webhook_url" with no allowlist/pattern. An outbound-request tool with an unbounded destination enables SSRF and cloud-metadata access (e.g. 169.254.169.254).
Fix: Allowlist destinations or constrain the parameter; block private/link-local addresses server-side.
Location: tool memory_store_async · inputSchema.properties.webhook_url
Each tool and what it can reach — statically extracted from the published source.
memory_store_asyncnetwork egressagent_createno sensitive capabilityagent_getno sensitive capabilityagent_listno sensitive capabilitycontext_buildno sensitive capabilitydecision_checkno sensitive capabilitydecision_listno sensitive capabilitydecision_recordno sensitive capabilitydecision_supersedeno sensitive capabilityentity_createno sensitive capabilityentity_graphno sensitive capabilityentity_linkno sensitive capabilityentity_listno sensitive capabilitymemory_batch_storeno sensitive capabilitymemory_contextno sensitive capabilitymemory_deleteno sensitive capabilitymemory_forgetno sensitive capabilitymemory_getno sensitive capabilitymemory_healthno sensitive capabilitymemory_listno sensitive capabilitymemory_promoteno sensitive capabilitymemory_recallno sensitive capabilitymemory_searchno sensitive capabilitymemory_statusno sensitive capabilitymemory_storeno sensitive capabilitymemory_updateno sensitive capabilitypattern_adoptno sensitive capabilitypattern_createno sensitive capabilitypattern_searchno sensitive capabilitypattern_suggestno sensitive capabilityproject_add_relationshipno sensitive capabilityproject_contextno sensitive capabilityproject_dependenciesno sensitive capabilityproject_dependentsno sensitive capabilityproject_impactno sensitive capabilityproject_infono sensitive capabilityproject_listno sensitive capabilityproject_registerno sensitive capabilityproject_relatedno sensitive capabilityproject_shared_patternsno sensitive capabilitysession_endno sensitive capabilitysession_listno sensitive capabilitysession_recallno sensitive capabilitysession_startno 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 |
|---|---|---|---|---|
v0.4.1 latest |
A 96/100 | 1 | 1.9.0 | 2026-07-24 |
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.
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