Recall (joseairosa) MCP Server
@joseairosa/recall
npm
v1.10.1
Published by @joseairosa — 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 cross-session memory for Claude and AI agents. Self-host on Redis/Valkey, or use the managed cloud at recallmcp.com.
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 − 7 = 93. 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 |
|---|---|
| −6 | capability blast radius (high) — 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.
Findings 3
high Shell/command execution in server code (dist/chunk-52J47SPM.js)MTC-SRC-002
In the server's implementation (`dist/chunk-52J47SPM.js:753`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: art, stop); } async exec() { await this.valkeyClient.exec(this.pipeline, false); } }; var ValkeyAdapter = clas
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/chunk-52J47SPM.js
low Shell/command execution in packaging/dev tooling (tests/__mocks__/storage-client.mock.ts)MTC-SRC-002
In a packaging/dev/install script (shipped, but not the server runtime) (`tests/__mocks__/storage-client.mock.ts:247`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: ); }, async exec() { for (const op of operations) { await op(); } }, };
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 tests/__mocks__/storage-client.mock.ts
low Shell/command execution in packaging/dev tooling (tests/test-runtime.js)MTC-SRC-002
In a packaging/dev/install script (shipped, but not the server runtime) (`tests/test-runtime.js:7`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: import { spawn } from 'child_process'; import { setTimeout as sleep } from 'timers/promises'; const colors = { green
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 tests/test-runtime.js
Tools 10
Each tool and what it can reach — statically extracted from the published source.
All Sessionsno sensitive capabilityget_workspaceno sensitive capabilityImportant Memoriesno sensitive capabilityMemories by Tagno sensitive capabilityMemories by Typeno sensitive capabilityMemory Summaryno sensitive capabilityRecent Memoriesno sensitive capabilitySearch Memoriesno sensitive capabilitySession Memoriesno sensitive capabilityset_workspaceno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (10 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, scan the running server: --command "npx -y <package>".
Versions 1
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 |
|---|---|---|---|---|
v1.10.1 latest |
A 93/100 | 3 | 1.13.0 | 2026-09-07 |
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 @joseairosa/recall --onlineOther implementations of Recall 4
Independent packages implementing the same tool, scanned with the same engine. Compare all 5 side by side →
Shared persistent memory for Claude Code, Gemini CLI, Cursor, and any MCP-aware AI client. Local-first, brain-swappable.
MCP server for Recall — self-hosted AI memory system. Gives Claude access to recall_store, recall_search, recall_get, recall_timeline, recall_rehydrate, recall_health, and recall_profile_proposals.
Context compression and persistent retrieval for Claude Code
Recall MCP server - Team memory for AI coding tools
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