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Manage, proxy, and secure MCP servers with centralized access control.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-guardian" yet — see the docs or source repo.
Design a setup using mcp-guardian to centrally manage multiple MCP servers, including service registration, access routing, permission isolation, and basic audit logging recommendations.
A centralized architecture plan showing how to onboard, proxy, segment permissions, and log access behavior.
I have several MCP servers serving internal and external users. Explain how to use mcp-guardian for authentication, authorization, rate limiting, and security boundaries, with a step-by-step implementation checklist.
A security hardening plan and implementation checklist to reduce unauthorized access and abuse.
Create a troubleshooting checklist for mcp-guardian when proxying MCP servers with connection failures, permission errors, and routing issues, prioritized by urgency.
A prioritized troubleshooting checklist covering connectivity, auth, proxy configuration, and log-based diagnosis.
Aggregate multiple MCP resource servers behind one HTTP endpoint.
Manage and route MCP servers from one unified control app.
Securely create isolated test branches for AI agents without exposing production secrets.
Secure MCP servers with policy checks, redaction, access control, and audit logs
Securely proxy MCP services as OpenAPI endpoints for easier integration and deployment.
Analyze project architecture and detect similar code patterns for cross-language consistency.