Documentation Index
Fetch the complete documentation index at: https://mintlify.com/garagon/aguara/llms.txt
Use this file to discover all available pages before exploring further.
Overview
Aguara MCP is an MCP server that gives AI agents the ability to scan skills and configurations for security threats — before installing or running them. It imports Aguara as a Go library — onego install, no external binary needed.
Installation
Available Tools
Your agent gets 4 security scanning tools:scan_content
Scan inline content for security threats without writing to disk.
Parameters:
content(string): The content to scan (skill file, config, etc.)filename(string): Filename for context (e.g., “skill.md”)min_severity(optional): Minimum severity to report (info, low, medium, high, critical)
check_mcp_config
Scan MCP server configuration for security issues.
Parameters:
config_content(string): MCP config JSON contentmin_severity(optional): Minimum severity filter
list_rules
List all available detection rules, optionally filtered by category.
Parameters:
category(optional): Filter by category (prompt-injection, credential-leak, exfiltration, etc.)
explain_rule
Get detailed information about a specific rule including patterns, examples, and remediation.
Parameters:
rule_id(string): Rule identifier (e.g., “PROMPT_INJECTION_001”)
Features
No Network Required
All scanning happens locally with no external API calls
Millisecond Scans
Fast pattern matching and NLP analysis powered by Go
177+ Rules
Comprehensive detection across 13 security categories
No LLM Required
Deterministic static analysis without AI inference
Use Cases
Before Installing Skills
Ask your agent to scan a skill before adding it to your configuration:Before Running MCP Servers
Check MCP server configurations for security risks:Understanding Security Rules
Learn about specific security rules and how to fix them:Exploring Available Rules
Discover what security checks are available:How It Works
Aguara MCP imports the Aguara Go library directly, providing the full scanner capabilities through MCP tools. The agent can:- Scan first — Check content for threats before execution
- Decide intelligently — Review findings with severity and confidence scores
- Explain risks — Understand what each finding means and how to fix it
- Stay offline — No data leaves your machine
GitHub Repository
garagon/aguara-mcp
View source code, report issues, and contribute to Aguara MCP
Related
- Aguara Watch — Continuous monitoring of 28,000+ AI agent skills
- Go Library — Embed Aguara in your own tools
- Detection Rules — 177+ built-in security rules
