Bring Authentication
to CrewAI
Learn how to connect SuperTokens to CrewAI and start using 18 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the SuperTokens MCP Server?
Connect your SuperTokens Core instance to any AI agent to manage user lifecycles, session security, and Role-Based Access Control (RBAC) through natural language.
What you can do
- User Management — Sign up new users, sign in existing ones, and retrieve detailed user profiles or link multiple accounts together.
- Session Control — Create, refresh, and revoke sessions (JWT or database-backed) to maintain tight security over user access.
- RBAC & Permissions — Create roles, define permissions, and assign them to users to manage authorization levels dynamically.
- User Metadata — Store and update custom JSON metadata for users to track preferences or application-specific data.
- Account Linking — Seamlessly link or unlink different recipe user IDs to a primary user identity.
How it works
- Subscribe to this server
- Enter your SuperTokens Core URL and API Key
- Start managing your authentication layer from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Backend Developers — quickly debug user sessions or update roles without writing manual scripts or using a CLI.
- Support Teams — inspect user metadata and account status to resolve login issues or permission errors instantly.
- Security Engineers — audit roles and revoke suspicious sessions directly through a conversational interface.
Built-in capabilities (18)
Assign a role to a user
Bulk import users
Create or update a user role
Create or update a tenant
Create a new session for a user
Delete metadata for a user
Get tenant details
Get user details by ID
Get metadata for a user
Link two user accounts together
List all roles
List roles assigned to a user
Refresh an existing session
Remove/revoke a session
Sign in a user
Sign up a new user
Unlink a user account
Update metadata for a user
Why CrewAI?
When paired with CrewAI, SuperTokens becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call SuperTokens 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
SuperTokens in CrewAI
SuperTokens and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect SuperTokens 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 SuperTokens in CrewAI
The SuperTokens 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 18 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
SuperTokens for CrewAI
Every tool call from CrewAI to the SuperTokens MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I retrieve specific user information using their ID?
Yes, by using the get_user tool with the specific User ID, you can fetch the full profile, including email and account linking status.
How do I assign a specific role like 'admin' to a user?
You can use the assign_role_to_user tool. Just provide the User ID and the role name to update their permissions immediately.
Is it possible to update custom user data or preferences?
Absolutely. The update_user_metadata tool allows you to pass a JSON object to store or update custom information for any user.
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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