aguara

Aguara is a local security scanner (CLI + library + Docker) that statically analyzes AI agent skills and MCP server/tool configurations to detect issues such as prompt injection, data exfiltration, credential leaks, and supply-chain/persistence/rug-pull patterns. It supports decoded/obfuscated content scanning, cross-file taint/risk flow analysis within an MCP server directory, and produces terminal/JSON/SARIF/Markdown outputs suitable for CI.

Evaluated Mar 30, 2026 (21d ago)
Homepage ↗ Repo ↗ Security security-scanner ai-agents mcp static-analysis prompt-injection data-exfiltration sast devsecops
⚙ Agent Friendliness
63
/ 100
Can an agent use this?
🔒 Security
87
/ 100
Is it safe for agents?
⚡ Reliability
38
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
0
Documentation
85
Error Messages
0
Auth Simplicity
100
Rate Limits
0

🔒 Security

TLS Enforcement
100
Auth Strength
100
Scope Granularity
100
Dep. Hygiene
55
Secret Handling
70

Security is primarily about static scanning rather than transport security. Authentication/authorization is not applicable for local use. The project emphasizes decoding, NFKC normalization, cross-file taint/rug-pull detection, and provides redaction of sensitive env values in JSON output (per README). Dependency hygiene and exact CVE posture cannot be confirmed from provided content. Ensure scanner outputs/reports are handled carefully since findings may include secrets/redacted-but-sometimes-sensitive context.

⚡ Reliability

Uptime/SLA
0
Version Stability
60
Breaking Changes
40
Error Recovery
50
AF Security Reliability

Best When

You have AI agent/MCP code (skills, tool descriptions, configs) in a repo or local directory and want reproducible, offline, CI-friendly static security checks before deployment.

Avoid When

You need real-time blocking, runtime sandboxing, or dynamic behavioral detection of executed code.

Use Cases

  • Pre-deployment scanning of MCP servers and AI agent skills for injection and exfiltration risks
  • CI security gate for detecting high/critical findings before merging or releasing
  • Auditing and generating SARIF reports for GitHub Code Scanning
  • Monitoring for potential tool-description/rug-pull changes across scans (hash tracking)
  • Offline/static verification without relying on API keys or LLMs

Not For

  • Runtime protection or mitigation of already-executing malicious code
  • Guaranteeing absence of vulnerabilities (static analysis can miss novel attack patterns)
  • Network-based scanning of arbitrary endpoints (it scans local files/configs rather than remote services)
  • A SaaS/hosted security platform with account-based management

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
No
SDK
Yes
Webhooks
No

Authentication

Methods: None (local/offline CLI scanning)
OAuth: No Scopes: No

Authentication is not required for local scanning. Optional CI action usage requires GitHub permissions for SARIF upload (e.g., security-events: write on public repos per README).

Pricing

Free tier: No
Requires CC: No

Appears to be open-source/local tooling; no usage-based pricing described in provided content.

Agent Metadata

Pagination
none
Idempotent
True
Retry Guidance
Not documented

Known Gotchas

  • This is a local static scanner; agents should not expect it to interact with running MCP servers or provide runtime guarantees.
  • Some rules can be context-dependent; use --tool-name or profiles to reduce false positives.
  • Inline ignore directives can suppress findings; ensure ignores are reviewed in security workflows.

Alternatives

Full Evaluation Report

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Scores are editorial opinions as of 2026-03-30.

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Packages Evaluated
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