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aguara

by garagon·77·Score 49

Security scanner for AI agent skills and MCP servers that detects prompt injection, data exfiltration, and supply-chain attacks before deployment.

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Overview

Aguara is a comprehensive security scanner specifically designed for AI agent skills and MCP servers. It performs static analysis without requiring API keys, cloud services, or LLM access. The tool includes 193 detection rules across 13 categories, 7 different scan analyzers working together, and 8 decoders for encoded evasion techniques. It offers cross-file toxic flow analysis, aggregate risk scoring, context-aware scanning, and is highly extensible with custom YAML rules. Aguara supports multiple output formats including JSON, SARIF, and Markdown, making it suitable for both development workflows and CI/CD pipelines.

Try asking AI

After installing, here are 3 things you can ask your AI assistant:

you:Scan MCP server directories for security vulnerabilities before deployment
you:Validate AI agent skills for prompt injection and data exfiltration risks
you:Integrate security scanning into CI/CD pipelines with fail-on thresholds

When to choose this

Choose Aguara when you need to secure your AI applications by scanning MCP servers and agent skills for vulnerabilities before deployment.

When NOT to choose this

Don't choose Aguara if you're looking for an MCP server itself rather than a security tool for scanning MCP servers.

Comparable tools

llm-security-scannerai-threat-detectmcp-audit-tool

Installation

Install Aguara with the following methods:

# Quick install
curl -fsSL https://raw.githubusercontent.com/garagon/aguara/main/install.sh | sh

# Homebrew
brew install garagon/tap/aguara

# Docker
# Scan current directory
docker run --rm -v "$(pwd)":/scan ghcr.io/garagon/aguara scan /scan

# From source
go install github.com/garagon/aguara/cmd/aguara@latest

To use Aguara MCP server (referenced in the README but not fully specified):

Note: MCP server configuration appears to be through Aguara's scanning capabilities rather than exposing MCP tools/resources itself.

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Last updated · Auto-generated from public README + GitHub signals.