AIM-Intelligence/AIM-Guard-MCP
by Various
AIM MCP Server :: Guard and Protect your MCPs & AI Chatting
MCP
AIM-Intelligence/AIM-Guard-MCP
Added 1 June 2026
Overview
AIM-Guard-MCP is an open-source server that provides guard and protection for Model Context Protocol (MCP) endpoints and AI chat interactions. Built in TypeScript, it acts as a middleware layer to filter or monitor messages between clients and AI models.
Best for
Best for
Developers building MCP-based AI systems that require basic content safety guards
Use cases
- Securing MCP endpoints against malicious inputs
- Filtering inappropriate content in AI chatbot sessions
- Enforcing safety policies on AI model interactions
How to use
Install
npx aim-guard-mcp Tools exposed
ai-safety-guardaim-text-guardaim-security-prompt-toolprompt-injection-detectorcredential-scannerurl-security-validator
Tested with
Claude Desktop
Example client config
{\n "servers": {\n "aim-guard": {\n "type": "stdio",\n "command": "npx",\n "args": ["aim-guard-mcp"]\n }\n }\n} Notes
AIM-Guard-MCP is an open-source server that provides guard and protection for Model Context Protocol (MCP) endpoints and AI chat interactions. Built in TypeScript, it acts as a middleware layer to filter or monitor messages between clients and AI models.
20 stars on GitHub. Last updated 2025-10-13. Licensed ISC.
Use cases
- Securing MCP endpoints against malicious inputs
- Filtering inappropriate content in AI chatbot sessions
- Enforcing safety policies on AI model interactions
Pros
- Open source and free to use
- Written in TypeScript for easy integration with Node.js projects
- Lightweight server designed for MCP compatibility
Cons
- Low community adoption with only 20 stars
- Limited documentation and examples
- May lack advanced features found in commercial alternatives
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Open source and free to use
- Written in TypeScript for easy integration with Node.js projects
- Lightweight server designed for MCP compatibility
Cons
- Low community adoption with only 20 stars
- Limited documentation and examples
- May lack advanced features found in commercial alternatives
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