Compatible with every major AI agent and IDE
What is the Logto (Auth Platform) MCP Server?
Connect your Logto authentication platform to any AI agent and take full control of your identity management and access control workflows.
What you can do
- User Management — List, fetch, update, or delete users from your tenant with full metadata access.
- RBAC & Permissions — Create and list global roles and API resources to manage granular access control.
- Organizations — Handle multi-tenant structures by creating organizations and managing their memberships.
- Security & Verification — Verify user passwords and manage account-level security settings.
- Account API — Access and update the current user's profile and MFA settings using end-user tokens.
How it works
- Subscribe to this server
- Provide your Logto Management API credentials (Endpoint, App ID, and App Secret)
- Start managing your auth infrastructure from Claude, Cursor, or any MCP-compatible client
Who is this for?
- DevOps & Security Engineers — Quickly audit user lists, roles, and resource permissions without leaving the terminal.
- Full-stack Developers — Manage test users and organization structures directly from the code editor.
- Support Teams — Inspect user metadata and account statuses to resolve identity-related tickets faster.
Built-in capabilities (23)
Bind a new MFA factor (TOTP, WebAuthn)
Create a new organization
Create a new API resource
Create a new role
Delete a Logto user
Retrieve current user profile (Account API)
Get details for a specific Logto user
List registered MFA factors for the current user
List members of an organization
List organizations in Logto
List API resources in Logto
List global roles in Logto
List roles assigned to a user
List Logto users
Remove an MFA factor
Send email/SMS code for verification
Update basic profile (username, name, avatar)
Update user password
Update or link primary email
Update extended profile (address, etc.)
Update an existing Logto user
Verify password to get a verification ID
Verify a user password (Management API)
Why Vercel AI SDK?
The Vercel AI SDK gives every Logto (Auth Platform) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 23 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
- —
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Logto (Auth Platform) integration everywhere
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Built-in streaming UI primitives let you display Logto (Auth Platform) tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Logto (Auth Platform) in Vercel AI SDK
Logto (Auth Platform) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Logto (Auth Platform) to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Logto (Auth Platform) in Vercel AI SDK
The Logto (Auth Platform) MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 23 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Logto (Auth Platform) for Vercel AI SDK
Every tool call from Vercel AI SDK to the Logto (Auth Platform) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I see which roles are assigned to a specific user?
Yes! Use the list_user_roles tool with the target User ID to retrieve all global roles associated with that account.
Is it possible to manage multi-tenant organizations through this server?
Absolutely. You can use list_organizations to see existing ones, create_organization to add new ones, and list_organization_users to audit membership.
Can I update user profiles or suspend accounts?
Yes, the update_user tool allows you to modify the username, name, avatar, and the isSuspended status of any user.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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