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Enable AI agents to handle authentication, OTP verification, and token management.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "auth-mcp" yet — see the docs or source repo.
Use auth-mcp to design a user authentication flow for my AI assistant, including email sign-up, sign-in, sign-out, and token refresh. Explain which operation to call at each step.
A clear authentication flow showing the MCP operations for sign-up, sign-in, sign-out, and token refresh.
Help me plan an SMS OTP login flow with auth-mcp, including sending the code, verifying the OTP, retry handling, and returning an access token after success.
A complete OTP verification plan covering code delivery, validation, error handling, and token issuance.
Based on auth-mcp, outline how my AI client should securely manage access and refresh tokens, including storage, renewal, expiration handling, and revocation on logout.
A token lifecycle management checklist for handling authentication state more securely.
Add OAuth 2.1 auth, middleware, and token verification to MCP servers.
Enable enterprise auth, token validation, and access control for AI agents.
Add OAuth 2.1 and token verification to Python MCP servers.
Deploy a secure MCP OAuth 2.1 server with monitoring and analytics.
Securely manage OAuth 2.0 tokens for MCP applications.
Manage Authlete services and clients, and search API specs with natural language.