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An MCP tool for threat modeling, security review, and compliance governance.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Aribot" MCP server from askskill: Run: claude mcp add --transport http 'com-ayurak-aribot-mcp' 'https://mcp.aribot.ayurak.com/'
Developers or security owners can use it before launching new APIs or services to perform threat modeling and review code or API security. This helps surface high-risk issues earlier and prioritize fixes.
DevOps or platform teams can use it to examine cloud security and governance issues, focusing on access control, configuration risk, and compliance needs. It fits quick assessments before major changes or audits.
Product or governance teams can use it to identify risks related to shadow AI and compliance governance. It is useful after AI tools are introduced across the organization.
It is an MCP tool for threat modeling, code security, API security, cloud security, and shadow AI or compliance governance. It can be used for security reviews and risk identification.
Based on the description, it is best suited for developers, DevOps teams, and product or governance roles involved in security work. For exact integration details, see the source repository.
The provided material does not include installation steps, runtime requirements, or key configuration details. Please see the source repository for prerequisites.
Audit MCP configs for exposed access, secrets, models, and compliance AI-BOMs.
Continuously scan and monitor MCP operations for agent-tool security risks.
Analyze MCP tool security risks, detect malicious behavior, and provide risk scores.
Secure LLM and MCP tool interactions with zero-trust controls and policy enforcement.
Statically inspects MCP tool metadata for misleading instructions, hidden capabilities, and schema drift.
MCP tool for compliance automation, PII scanning, and audit tracking.