About
A Model Context Protocol server that equips AI assistants with safety tools—contextual security instructions, harmful content detection, prompt injection defense, credential scanning, and URL validation—to protect agents during interactions with external services.
Capabilities
Overview
The AIM Guard MCP server is a dedicated security layer for AI assistants that interact with Model Context Protocol (MCP) services. It addresses a critical gap in modern AI workflows: the need for real‑time, context‑aware safety and compliance checks when an assistant calls external APIs, databases, or web resources. By intercepting every MCP request and response, the server injects protective guidance, scans for malicious content, and validates credentials—ensuring that agents do not inadvertently leak sensitive data or perform unsafe operations.
At its core, the server offers a suite of six tools that cover the full spectrum of security concerns. The AI Safety Guard supplies dynamic, operation‑specific safety instructions based on the MCP type and sensitivity level. Text Guard Analysis leverages AIM Intelligence’s content‑moderation engine to flag harmful language before it reaches downstream systems. Security Prompt Enhancement augments user prompts with hardening directives, while the Prompt Injection Detector applies OWASP LLM01:2025 rules to catch injection attempts. A Credential Scanner inspects outbound traffic for exposed API keys or secrets, and the URL Security Validator checks links against phishing, malware, and HTTPS compliance.
Complementing these tools are nine resources that provide ready‑made security checklists for common MCP targets (database, email, Slack, file, web) and comprehensive policies covering data classification, access control, and incident response. Two prompts—Security Review and Threat Analysis—enable multi‑step workflows for audit and risk assessment, integrating STRIDE threat modeling directly into the assistant’s reasoning loop.
Developers can embed AIM Guard MCP in any MCP‑compatible AI workflow with minimal friction. Whether the assistant runs on Claude Desktop, a custom server, or a cloud‑hosted agent, the lightweight TypeScript implementation validates inputs with Zod and delegates advanced analysis to the AIM Intelligence API. The result is a seamless, low‑latency safety net that scales with the complexity of the assistant’s tasks.
Real‑world scenarios where AIM Guard MCP shines include compliance‑heavy industries (finance, healthcare) that must enforce strict data handling policies, internal tooling where developers want to sandbox experiments without exposing credentials, and public‑facing chatbots that need instant content moderation. By providing a single entry point for security checks, the server eliminates fragmented guardrails and empowers teams to build trustworthy AI agents that respect privacy, legality, and operational integrity.
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