AI security layer: code scanning, PII detection, prompt injection, secrets, CVEs
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Universal AI security layer β an open-source MCP server for code scanning, PII detection, prompt injection defense, secret detection, dependency auditing, and audit logging.
Zero dependencies Β· 27 MCP tools Β· 5 safety profiles Β· 108+ detection patterns
| Tool | Description |
|---|---|
scan_code | Scan source code for vulnerabilities and hardcoded secrets |
scan_file | Scan a single file (auto-detects language from extension) |
scan_directory | Recursively scan a directory with filtering and progress streaming |
scan_input | Check user/agent input for prompt injection attempts |
scan_output | Check AI output for PII leaks and content violations |
check_secrets | Detect hardcoded secrets and credentials |
scan_files | Scan multiple files in one call |
scan_diff | Parse unified diff and scan only added lines |
| Tool | Description |
|---|---|
check_dependencies | Check packages for known CVEs via OSV.dev (PyPI, npm, Go, Packagist) |
sync_vulnerabilities | Sync the local OSV vulnerability database |
parse_manifest | Parse any supported manifest file (11 formats) into dependency objects |
scan_dependencies | Scan a directory for manifest files and check all deps for vulnerabilities |
| Tool | Description |
|---|---|
mark_false_positive | Mark a finding as false positive (flags future matches) |
list_false_positives | List active false positive records with optional filter |
unmark_false_positive | Remove a false positive record by fingerprint |
| Tool | Description |
|---|---|
list_engines | List available analysis engines with capabilities |
set_engine | Set active analysis engines for code scanning |
Three engines ship built-in: regex (line-by-line pattern matching, enabled by default), deep (cross-line taint tracking), and semantic (structure-aware confidence adjustment).
| Tool | Description |
|---|---|
export_sarif | Export findings as SARIF 2.1.0 JSON for GitHub Code Scanning and CI |
save_baseline | Save current findings as a baseline for delta scanning |
scan_with_baseline | Scan code and report only new findings vs. baseline |
check_quality_gate | Evaluate findings against severity thresholds (pass/fail/warn) |
scan_files | Scan multiple files in one call |
scan_diff | Parse unified diff and scan only added lines |
| Tool | Description |
|---|---|
get_profile | Get current safety profile configuration |
set_profile | Switch safety profile (general, education, healthcare, finance, children) |
test_pattern | Test a regex pattern against sample code for custom pattern development |
audit_log | Query the security audit log |
get_findings | Retrieve past findings with filters |
shield_status | Get health, configuration, and OSV cache statistics |
Set environment variables to customize behavior:
| Variable | Description | Default |
|---|---|---|
GUARDIANSHIELD_PROFILE | Default safety profile | general |
GUARDIANSHIELD_AUDIT_PATH | Path to SQLite audit database | ~/.guardianshield/audit.db |
GUARDIANSHIELD_DEBUG | Enable debug logging (1) | disabled |
Full documentation: sparkvibe-io.github.io/GuardianShield
Apache 2.0
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