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  1. Home
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  3. AIM Guard MCP
AIM Guard MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 12:15:57 PM

AIM Guard MCP

User RatingsBe the first to rate and review this MCP server!
View Repository21 GitHub StarsTotal stargazers on GitHub for the source repository (21 stars).Visit Website
securitycontent-analysisprompt-injectioncredential-scanningmcp

Security-focused MCP server offering AI-powered content analysis, prompt injection detection, and safety guidelines for AI agents.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
We couldn’t automatically confirm this listing starts correctly

We ran the install command below but it didn't respond within our test window β€” this can mean a slow first-time install rather than a real problem.

npx -y @smithery/cli

No response to initialize.

This is an experimental automated check and can have false negatives β€” missing environment variables, a slow cold install, etc. It doesn’t necessarily mean something’s wrong. Last checked 1mo ago.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "aim-intelligence-aim-guard-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ”’ More in Security

Overview

This MCP server provides tools to enhance AI agent security by analyzing content for harmful or sensitive data, detecting prompt injection attacks, and supplying contextual safety instructions. It integrates with the AIM Intelligence API for advanced content analysis and supports multiple security-related workflows including credential scanning and URL validation. Use this server when you need to enforce security policies and protect AI interactions across various MCP types.

Use cases

β€’Analyze text for harmful or inappropriate content
β€’Detect prompt injection attempts in user inputs
β€’Scan for exposed credentials in text data
β€’Generate contextual security instructions for MCP operations
β€’Validate URLs for phishing and malware risks

Key features

β€’AI Safety Guard with context-aware security instructions
β€’Harmful content detection via AIM Intelligence API
β€’Prompt injection detection compliant with OWASP LLM01:2025
β€’Credential scanning for API keys, passwords, and tokens
β€’URL security validation for phishing and HTTPS enforcement
β€’Security prompt enhancement with multi-level protection

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by AIM Guard MCP.

Extracted Tool Capabilities
AI Safety Guard with context-aware security instructions
Harmful content detection via AIM Intelligence API
Prompt injection detection compliant with OWASP LLM01:2025
Credential scanning for API keys, passwords, and tokens
URL security validation for phishing and HTTPS enforcement
Security prompt enhancement with multi-level protection

Documentation Overview

en ko

AIM Guard MCP

Trust Score smithery badge

NPM Version Smithery Server

πŸ›‘οΈ AIM MCP Server :: Guard and Protect your MCPs & AI Agents

A Model Context Protocol (MCP) server that provides AI-powered security analysis and safety instruction tools. This server helps protect AI agents by providing security guidelines, content analysis, and cautionary instructions when interacting with various MCPs and external services.

AIM-Guard-MCP MCP server

Features

πŸ”§ Tools (6 total)

  • πŸ›‘οΈ AI Safety Guard: Contextual security instructions for MCP interactions
  • πŸ” Text Guard Analysis: Harmful content detection using AIM Intelligence API
  • πŸ”’ Security Prompt Enhancement: Add security layers to user prompts
  • 🚨 Prompt Injection Detector: OWASP LLM01:2025 compliant injection detection
  • πŸ” Credential Scanner: Scan for exposed API keys, passwords, tokens, and secrets
  • 🌐 URL Security Validator: Validate URLs for phishing, malware, and HTTPS enforcement

πŸ“š Resources (9 total)

  • πŸ“‹ Security Checklists: MCP-specific security checklists (database, email, slack, file, web, general)
  • πŸ“– Security Policies: Comprehensive policies (data classification, access control, incident response)

πŸ’¬ Prompts (2 total)

  • πŸ” Security Review: Multi-step security review workflow
  • ⚠️ Threat Analysis: STRIDE-based threat modeling and risk assessment

🎯 General

  • ⚑ Fast & Lightweight: Built with TypeScript and Zod validation
  • πŸ”§ Easy Integration: Works with any MCP-compatible AI assistant
  • πŸ”— API Integration: Connects to AIM Intelligence API for advanced analysis
  • πŸ“š Comprehensive Documentation: Detailed guide for Tools, Resources, and Prompts

Installation

Installing via Smithery

To install aim-mcp for Claude Desktop automatically via Smithery:

Terminal
npx -y @smithery/cli install @AIM-Intelligence/aim-mcp --client claude

NPX (Recommended)

Terminal
npx aim-guard-mcp

Global Installation

Terminal
npm install -g aim-guard-mcp
aim-guard-mcp

Local Installation

Terminal
npm install aim-guard-mcp

Usage

As MCP Server

Add to your MCP client configuration:

config.json
{
  "servers": {
    "aim-guard": {
      "type": "stdio",
      "command": "npx",
      "args": ["aim-guard-mcp"]
    }
  }
}

Testing the Tools

Test AI Safety Guard

bash
# Get safety instructions for database operations
{
  "name": "ai-safety-guard",
  "arguments": {
    "mcp_type": "database",
    "operation_type": "query",
    "sensitivity_level": "confidential"
  }
}

Test Text Guard

bash
# This will analyze the text for harmful content
{
  "name": "aim-text-guard",
  "arguments": {
    "text": "This is a sample text to analyze for safety."
  }
}

Test Security Prompt Enhancement

bash
# Enhance a user prompt with security instructions
{
  "name": "aim-security-prompt-tool",
  "arguments": {
    "user_prompt": "Please help me with this task",
    "security_level": "strict"
  }
}

Available Tools

1. ai-safety-guard

Provides contextual security instructions and precautions for AI Agents before they interact with other MCPs.

config.json
{
  "name": "ai-safety-guard",
  "arguments": {
    "mcp_type": "email|slack|database|file|web|general",
    "operation_type": "read|write|execute|delete|send|query",
    "sensitivity_level": "public|internal|confidential|restricted"
  }
}

Features: Context-aware guidelines, operation-specific warnings, red flag detection

2. aim-text-guard

Analyze text content for harmful or inappropriate content using AIM Intelligence API.

config.json
{
  "name": "aim-text-guard",
  "arguments": {
    "text": "Text content to analyze"
  }
}

Features: Real-time analysis, harmful content detection, detailed JSON results

3. aim-security-prompt-tool

Enhance user prompts with security instructions for safer AI interactions.

config.json
{
  "name": "aim-security-prompt-tool",
  "arguments": {
    "user_prompt": "Original user prompt",
    "security_level": "basic|standard|strict"
  }
}

Features: Multi-level enhancement, threat analysis, social engineering protection

4. prompt-injection-detector πŸ†•

Detect prompt injection attempts based on OWASP LLM01:2025 patterns.

config.json
{
  "name": "prompt-injection-detector",
  "arguments": {
    "text": "Text to analyze for injection patterns",
    "sensitivity": "low|medium|high"
  }
}

Features:

  • 15+ injection pattern detection (instruction override, role manipulation, jailbreak attempts)
  • Risk scoring (0-100) with severity assessment
  • OWASP LLM01:2025 compliant
  • Configurable sensitivity levels
  • Detailed threat reporting

5. credential-scanner πŸ†•

Scan text for exposed credentials including API keys, passwords, tokens, and SSH keys.

config.json
{
  "name": "credential-scanner",
  "arguments": {
    "text": "Text to scan for credentials",
    "mask_findings": true
  }
}

Features:

  • 50+ credential patterns (AWS, GitHub, Google, OpenAI, Stripe, JWT, SSH keys)
  • Automatic credential masking
  • Risk level assessment
  • Platform-specific detection (AWS, GitHub, Slack, databases)
  • Actionable security recommendations

6. url-security-validator πŸ†•

Validate URL safety for phishing, malware, and security issues.

config.json
{
  "name": "url-security-validator",
  "arguments": {
    "url": "URL to validate",
    "strict_mode": false
  }
}

Features:

  • 10+ security checks (protocol, TLD, IP address, homograph attacks)
  • Phishing domain detection
  • URL shortener identification
  • Suspicious parameter detection
  • HTTPS enforcement validation

Available Resources πŸ†•

Resources provide read-only security documentation and policies accessible via URI schemes.

Security Checklists

Access via security-checklist://[type]

  • security-checklist://database - Database operations checklist
  • security-checklist://email - Email operations checklist
  • security-checklist://slack - Chat/messaging operations checklist
  • security-checklist://file - File operations checklist
  • security-checklist://web - Web request checklist
  • security-checklist://general - General MCP operations checklist

Each checklist includes:

  • Pre-operation checks
  • During-operation guidelines
  • Post-operation verification
  • Red flags to abort operations

Security Policies

Access via security-policy://[type]

  • security-policy://data-classification - Data classification levels and handling requirements
  • security-policy://access-control - Access control principles and authentication requirements
  • security-policy://incident-response - Incident response procedures and severity levels

Available Prompts πŸ†•

Prompts provide reusable workflow templates for complex security operations.

1. security-review

Comprehensive security review workflow for code, data, or configuration.

config.json
{
  "name": "security-review",
  "arguments": {
    "target_type": "code|data|configuration",
    "context": "Additional context (optional)"
  }
}

Workflow:

  1. Credential scanning
  2. Prompt injection detection (if applicable)
  3. Security checklist consultation
  4. Policy compliance review
  5. Threat analysis
  6. Risk assessment and recommendations
  7. Summary table - Visual overview of all findings by severity

Summary Output Example:

Code
πŸ“Š μš”μ•½

| 심각도         | 개수  | 파일/μœ„μΉ˜                  |
|-------------|-----|------------------------|
| πŸ”΄ CRITICAL | 1   | resources/handler.ts   |
| 🟠 HIGH     | 2   | textGuard.ts           |
| 🟑 MEDIUM   | 3   | prompts/handler.ts     |
| 🟒 LOW      | 5   | credentialScanner.ts   |

2. threat-analysis

Analyze potential security threats using STRIDE methodology.

config.json
{
  "name": "threat-analysis",
  "arguments": {
    "scenario": "Security scenario to analyze",
    "sensitivity_level": "public|internal|confidential|restricted"
  }
}

Framework:

  1. Asset identification
  2. STRIDE threat modeling (Spoofing, Tampering, Repudiation, Information Disclosure, DoS, Elevation of Privilege)
  3. Risk assessment (likelihood Γ— impact)
  4. Attack vector analysis
  5. Control gap identification
  6. Mitigation strategies
  7. Compliance considerations
  8. Incident response planning
  9. Summary table - Visual overview of all threats by severity

Summary Output Example:

Code
πŸ“Š μš”μ•½

| 심각도         | 개수  | μœ„ν˜‘ μœ ν˜•                           |
|-------------|-----|---------------------------------|
| πŸ”΄ CRITICAL | 2   | Information Disclosure, Spoofing |
| 🟠 HIGH     | 1   | Elevation of Privilege           |
| 🟑 MEDIUM   | 3   | Tampering, DoS                   |
| 🟒 LOW      | 1   | Repudiation                      |

Security Features

πŸ›‘οΈ AI Agent Protection

  • MCP Interaction Safety: Contextual guidelines for different MCP types
  • Operation Validation: Specific precautions for read/write/execute operations
  • Data Sensitivity Handling: Protocols based on data classification levels

πŸ” Content Analysis

Read the full README β†’View source on GitHub β†’

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View all in Security View all alternatives
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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
21
Stargazers on the source repository.
Last commit
11mo ago
Most recent push to the default branch.
Install check
Inconclusive
Didn't respond in our test window β€” often a slow first install.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about AIM Guard MCP

It supports operations like read, write, execute, delete, send, and query across MCP types such as email, slack, database, file, web, and general.

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Technical Specs & Signals

CategoryπŸ”’Security
PricingFree
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
AuthNo auth required
ClientsClaude Desktop
Last updatedAug 9, 2026
10/10 checks healthy over the last 32d
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars21
GitHub Star CountTotal stargazers on GitHub representing community popularity (21 stars).
Last commit11mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 13, 2025
40Quality signal: Fair Β· 40/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools17/30
Adoption & activity3/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 24d ago via OSV.dev Β· @smithery/cli (npm)

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