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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.
Enforce permissions, approvals, sanitization, and audit for AI agent MCP calls.
Combine multiple MCP backends into one interface with optional web-based management.
Aggregate multiple MCP servers into one endpoint for unified tool access.
Proxy multiple MCP servers while reducing token usage with on-demand tool loading.
Secure LLM and MCP tool interactions with zero-trust controls and policy enforcement.
Enforce policy checks on AI tool calls without exposing system credentials.