Compatible with every major AI agent and IDE
What is the Hanko (Passkey Auth) MCP Server?
Connect your Hanko instance to any AI agent to streamline passkey-based authentication and user management. This server provides a comprehensive interface for WebAuthn flows and administrative user operations.
What you can do
- Passkey Lifecycle — Initialize and finalize WebAuthn registration and login flows for secure, passwordless access.
- Credential Management — List and delete registered WebAuthn credentials for specific users.
- User Administration — Create, retrieve, and list users and their associated credentials via admin tools.
- Transaction Security — Initialize and finalize passkey-signed transactions for sensitive operations like payments.
- Session Validation — Publicly validate sessions and retrieve JWKS for token verification.
How it works
- Subscribe to this server
- Enter your Hanko Tenant ID and API Key
- Start managing identity flows from your MCP-compatible client
Who is this for?
- Developers — quickly test and debug WebAuthn registration and login flows without manual API calls.
- Security Engineers — audit user credentials and manage identity access policies through a conversational interface.
- Product Teams — simulate and verify user onboarding and transaction signing workflows.
Built-in capabilities (15)
Create a new user via Admin API
Get a user by ID via Admin API
List WebAuthn credentials for a user via Admin API
List users via Admin API
Execute a Hanko Flow action
Delete a WebAuthn credential
List WebAuthn credentials for a user
Finalize a passkey login
Returns publicKey options for navigator.credentials.get(). Initialize a passkey login
Finalize a passkey registration
Returns publicKey options for navigator.credentials.create(). Initialize a passkey registration
Finalize a passkey transaction
g., payment confirmation) for an existing user. Initialize a passkey transaction
Get JSON Web Key Set (JWKS)
Validate a Hanko session token
Why CrewAI?
When paired with CrewAI, Hanko (Passkey Auth) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Hanko (Passkey Auth) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
- —
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Hanko (Passkey Auth) in CrewAI
Hanko (Passkey Auth) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Hanko (Passkey Auth) to CrewAI 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 Hanko (Passkey Auth) in CrewAI
The Hanko (Passkey Auth) 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 15 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI 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
Hanko (Passkey Auth) for CrewAI
Every tool call from CrewAI to the Hanko (Passkey Auth) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I start a new passkey registration for a user?
Use the passkey_registration_init tool with the user's ID and username. This will return the necessary WebAuthn options to be used on the client side.
Can I view all WebAuthn credentials associated with a specific user?
Yes, you can use the passkey_list_credentials tool (or admin_list_user_credentials for admin access) to retrieve a list of all registered passkeys for any user ID.
Is it possible to create a user directly through the AI agent?
Absolutely. Use the admin_create_user tool to provision a new user in your Hanko project by providing a unique user ID.
How does CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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