gitmem-mcp
npm
v1.8.0
Published by gitmem-dev — 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.
Persistent learning memory for AI coding agents. Memory that compounds.
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 − 2.1 = 98. What the published surface and source actually contain:
| Points | What was found | Category |
|---|---|---|
| −2.1 | Hardcoded JSON Web Token in server code ×3 MTC-SRC-008 | exfiltration |
2. Client adoption risk — 98 − 4 = 94. 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.
In the server's implementation (`dist/commands/activate.js:190`): A hardcoded outbound call to a fixed external host inside server code is a classic exfiltration/telemetry channel — especially paired with reads of local data. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: const response = await fetch(`https://api.supabase.com/v1/projects/${projectRef}/database/query`, { method:
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server dist/commands/activate.js
In the server's implementation (`dist/commands/check.js:158`): A hardcoded outbound call to a fixed external host inside server code is a classic exfiltration/telemetry channel — especially paired with reads of local data. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: const response = await fetch("https://api.openai.com/v1/models", { headers: {
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server dist/commands/check.js
A hardcoded JSON Web Token (a public-by-design (anon/publishable) key — RLS, not secrecy, protects it) appears in `dist/commands/deactivate.js:15`. Verify whether this is a real credential; if so, remove and rotate it.
Evidence: JSON Web Token: eyJh…(redacted)
Fix: Remove the secret, rotate it, and load credentials from the environment or a secret store.
Location: server dist/commands/deactivate.js
A hardcoded JSON Web Token (a public-by-design (anon/publishable) key — RLS, not secrecy, protects it) appears in `dist/services/feedback-remote.js:9`. Verify whether this is a real credential; if so, remove and rotate it.
Evidence: JSON Web Token: eyJh…(redacted)
Fix: Remove the secret, rotate it, and load credentials from the environment or a secret store.
Location: server dist/services/feedback-remote.js
A hardcoded JSON Web Token (a public-by-design (anon/publishable) key — RLS, not secrecy, protects it) appears in `dist/services/license.js:26`. Verify whether this is a real credential; if so, remove and rotate it.
Evidence: JSON Web Token: eyJh…(redacted)
Fix: Remove the secret, rotate it, and load credentials from the environment or a secret store.
Location: server dist/services/license.js
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 |
|---|---|---|---|---|
v1.8.0 latest |
A 94/100 | 5 | 1.13.0 | 2026-09-08 |
v1.7.0 |
A 94/100 | 5 | 1.12.1 | 2026-08-09 |
v1.6.6 |
A 94/100 | 5 | 1.12.1 | 2026-08-06 |
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 gitmem-mcp --online
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