Aegis (fuwasegu) MCP Server
@fuwasegu/aegis
npm
v1.7.0
Source verified
Published by fuwasegu — publish provenance cryptographically ties this package to that repository. That is proof of origin, not an official vendor package.
DAG-based deterministic context compiler for AI coding agents
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 − 6 = 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 |
|---|---|
| −6 | capability blast radius (high) — client exposure if the model is manipulated |
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/core/optimization/co-change-cache.js)MTC-SRC-002
In the server's implementation (`dist/core/optimization/co-change-cache.js:4`): 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: { execFile } from 'node:child_process'; import { createHash } from 'node:crypto'; import { normalize as normalizeFsPath,
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/core/optimization/co-change-cache.js
high Shell/command execution in server code (dist/core/store/database.js)MTC-SRC-002
In the server's implementation (`dist/core/store/database.js:277`): 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: , this, sql); } exec(sql) { if (this.inTransaction || this.bootstrapping) { this.sqlDb.run(s
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/core/store/database.js
medium Dynamic module load from a non-literal (dist/expansion/llama-engine.js)MTC-SRC-005
In the server's implementation (`dist/expansion/llama-engine.js:19`): Loading a module chosen at runtime (from a variable) can pull in and run attacker-influenced code paths. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: _nodeLlamaCpp = await import(NODE_LLAMA_CPP); return _nodeLlamaCpp; } catch { throw new LlamaE
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/expansion/llama-engine.js
Tools 24
Each tool and what it can reach — statically extracted from the published source.
aegis_analyze_docno sensitive capabilityaegis_analyze_import_batchno sensitive capabilityaegis_apply_upgradeno sensitive capabilityaegis_approve_proposalno sensitive capabilityaegis_approve_proposal_bundleno sensitive capabilityaegis_archive_observationsno sensitive capabilityaegis_check_upgradeno sensitive capabilityaegis_compile_contextno sensitive capabilityaegis_execute_import_planno sensitive capabilityaegis_get_compile_auditno sensitive capability
Show 14 more tools ↓
aegis_get_known_tagsno sensitive capabilityaegis_get_proposalno sensitive capabilityaegis_get_statsno sensitive capabilityaegis_import_docno sensitive capabilityaegis_init_confirmno sensitive capabilityaegis_init_detectno sensitive capabilityaegis_list_observationsno sensitive capabilityaegis_list_proposalsno sensitive capabilityaegis_observeno sensitive capabilityaegis_preflight_proposal_bundleno sensitive capabilityaegis_process_observationsno sensitive capabilityaegis_reject_proposalno sensitive capabilityaegis_sync_docsno sensitive capabilityaegis_workspace_statusno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (24 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 |
|---|---|---|---|---|
v1.7.0 latest |
A 94/100 | 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 @fuwasegu/aegis --onlineOther implementations of Aegis 3
Independent packages implementing the same tool, scanned with the same engine. Compare all 4 side by side →
Zero-Trust Security Layer for AI Agentic Workflows via the Model Context Protocol
MCP enforcement layer for the Aegis agent governance specification
A Node.js testing library for Model Context Protocol (MCP) servers
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