Permit.io MCP. Govern access rules without writing code.
Permit.io lets you manage application authorization and access control policies conversationally. It handles complex rules—like checking if a user can read a document based on their department or role, or defining relationships between resources. Use it to build robust, fine-grained permission layers without writing code.
Claude 
ChatGPT 
Cursor 
Gemini 
Windsurf 
VS Code 
JetBrains 
Vercel Give Claude and any AI agent real-world access
The system checks if a specific user has permission to perform an action on a designated resource.
You can create new resources, define roles, or map relationships between existing data objects.
The MCP lets you provision users or tenants in bulk, keeping your authorization environment up-to-date.
You can assign permissions to a whole group (a role) or give a specific user a role within their tenant.
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What AI agents can do with Permit.io: 18 Tools for Authorization Management
These tools allow you to programmatically manage every aspect of your application's access control, from creating users to evaluating the most complex permissions.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Permit.io MCPAssign Permissions To Role
Attaches specific permissions to an existing group role.
Assign Role To User
Gives a user a defined role within their tenant.
Authzen Access Evaluation
Performs standardized checks to validate if a subject has access to an action on a...
Authzen Action Search
Searches available actions that can be applied in the authorization schema.
Authzen Bulk Evaluations
Runs multiple access evaluations at once for large-scale policy testing.
Authzen Resource Search
Searches available resources that can be protected by policies.
Authzen Subject Search
Searches existing user subjects for standardized policy checking.
Bulk Assign Roles
Assigns roles to many users in a single batch operation (up to 2000).
Bulk Create Tenants
Creates multiple new isolated tenants at once (up to 2000).
Bulk Create Users
Creates many user accounts in a batch process (up to 3000).
Bulk Relationship Tuples
Adds multiple relationship links between resources simultaneously (up to 1000).
Check Permission
Determines if a user can execute a specific action on a resource.
Create Relation
Establishes a complex relationship link between two resources.
Create Relationship Tuple
Creates a single, specific relationship link between resources.
Create Resource
Adds a brand new type of resource into the system schema for protection.
Create Role
Defines a new group role that can be assigned to users.
Create Tenant
Creates a new isolated organizational environment (tenant).
Create User
Adds a brand new user account into the system.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The Permit.io integration is available immediately — no restart needed.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on each call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Permit.io, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,200+ others, all in one place
- Add new capabilities to your AI anytime you want
- Connections are secured and governed automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog weekly
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Permit.io. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on each call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
The headache of managing access rights in complex apps
Today, figuring out who can see what usually means digging through a dozen dashboards: checking user roles on one screen, cross-referencing resource ownership on another, and running separate database queries just to validate if the request is even allowed. You end up spending hours debugging authorization failures that should have been simple.
With this MCP, you ditch the dashboard maze. Your agent handles it all in a single prompt: 'Does user X have permission Y for resource Z?' The system returns an instant, definitive yes or no answer, letting you move on to building features instead of policing access.
Permit.io MCP gives you complete control over your authorization layer
You eliminate manual schema updates by using create_resource and create_role to define new protected areas in plain language. You no longer have to wait for a backend engineer to write and deploy the necessary code every time a product feature needs access control.
The result is an authorization layer that evolves at the speed of your product requirements, not the speed of your deployment pipeline.
What Permit.io MCP does for your AI
Stop building custom backend endpoints just to check basic permissions. This MCP connects your authorization layer to any AI agent, letting you govern access rules using plain language prompts. You can define roles and resources dynamically, whether you're setting up a brand new feature or auditing existing policies. Need to know if 'admin@company.com' can delete a file in the production environment? Your agent handles that check instantly.
It also lets you provision users and tenants directly into your authorization system for testing or setup. When you connect this MCP via Vinkius, you get immediate access to industry-standard tools like AuthZen evaluation, meaning you don’t have to worry about vendor lock-in when checking permissions across different services. You manage the entire schema—creating roles, defining resources, and mapping complex relationships—all through your agent's conversation.
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How to set up Permit.io MCP
The bottom line is, you treat complex access control logic like talking to an expert security engineer who lives inside your agent.
Subscribe to the MCP and enter your Permit.io API Key, optionally including your PDP URL.
Tell your agent what you want to do—for example, 'Check if this user can access resource X.'
The system runs the check against your defined policies and sends back a definitive answer: permitted or denied.
Who uses Permit.io MCP
This MCP targets developers and platform engineers whose jobs involve building or auditing secure, multi-tenant applications. If you're tired of writing boilerplate code just to manage basic permissions checks, this is for you.
They use the MCP to set up bulk user and tenant creation or define new relationship structures (ReBAC) so that application services can trust the access layer.
They audit existing policies conversationally, using tools like authzen_bulk_evaluations to verify if all user roles adhere to least-privilege principles across a large number of resources.
They test complex authorization logic quickly during development cycles, running checks like check_permission without leaving their IDE or writing temporary API calls.
Benefits of connecting Permit.io MCP
You gain instant policy evaluation via check_permission, allowing your agent to answer complex questions like 'Can X do Y?' in real-time, eliminating the need for custom permission microservices.
The MCP manages full authorization schema definition. You can use create_resource and create_role to build out entirely new protected features just by defining their rules, not writing code.
Managing user data is easy: Use bulk_create_users or bulk_create_tenants to provision thousands of accounts in a single conversational step, drastically cutting setup time for large deployments.
Complex relationships are handled with tools like create_relation and bulk_relationship_tuples. You can model ownership and hierarchical permissions (ReBAC) directly through your agent's prompts.
The system supports standardized AuthZen evaluation tools. This means the policies you define today will work reliably, even if you switch underlying access control technologies later on.
Permit.io MCP use cases
Auditing a new client portal
A security engineer needs to ensure that only premium users can view the 'advanced analytics' resource. Instead of manually checking database tables, they prompt their agent: 'Check if any user without the 'premium_client' role can access the advanced analytics.' The agent uses check_permission and returns a definitive audit report.
Onboarding a massive client base
A platform team needs to set up 5,000 new tenants and assign them default 'read-only' roles. They use bulk_create_tenants followed by bulk_assign_roles, automating the setup process that would normally take days of manual scripting.
Implementing ownership rules
A developer is building a document management system where only the creator should be able to delete a file. They use create_relation and then check_permission to enforce this complex, resource-specific rule set without writing custom database triggers.
Testing role changes quickly
A product manager wants to see if giving 'junior' users the 'project:read' permission breaks anything. They use assign_permissions_to_role and then run authzen_bulk_evaluations on test accounts before committing any code.
Permit.io MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Hardcoding permissions in service logic
A developer writes if user.is_admin or resource.owner == user.id: inside the core business logic of every single endpoint, leading to massive code duplication and maintenance nightmares.
Instead, use check_permission. Define the ownership rule once using create_relation, then let your agent call check_permission at the entry point for all protected endpoints.
Managing users via database scripts
Having to run complex SQL scripts every time a new client signs up or an admin needs to update user roles across multiple tables.
Use bulk_create_users and bulk_assign_roles. The MCP handles the underlying data structure updates, letting you manage identity purely through natural language conversation.
Skipping role definitions
Assigning permissions directly to individual users instead of grouping them into roles, which makes auditing impossible and means a policy change requires updating hundreds of records.
First, use create_role to define the group (e.g., 'Editor'). Then, assign all necessary rights using assign_permissions_to_role.
When to use Permit.io MCP
Use this MCP if your core problem is governance: determining who can do what. If you are building a multi-tenant application or an API that needs fine-grained access control (like checking ownership, department rules, or resource type limits), this is the right tool. Don't use it if your primary need is simply data retrieval; for fetching unstructured text or simple records, use a general database connector instead. If you only need to check permissions once and never change them, that might work, but if you need to manage roles, resources, and relationships over time, this MCP provides the full lifecycle management required.
Frequently asked questions about Permit.io MCP
How does Permit.io MCP handle bulk user creation? +
You use bulk_create_users to add thousands of accounts in a single conversational command, saving massive amounts of manual scripting time for platform teams.
Can I check permissions without writing code using the Permit.io MCP? +
Yes, you prompt your agent with an access query, and it uses check_permission to evaluate the rule against your entire defined policy structure in real-time.
What is ReBAC and how do I set it up with Permit.io MCP? +
ReBAC (Relationship-Based Access Control) handles ownership, meaning access depends on relationships between resources. You use create_relation or bulk_relationship_tuples to define these complex links.
Does the MCP support multiple client types for governance? +
Yes, it works with any MCP-compatible client, letting you govern your permissions whether you're working in VS Code, Cursor, or directly through a terminal agent.