Permify MCP for AI. Manage all access control policies from chat.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
How this MCP server connects to your AI agent
Permify manages fine-grained authorization and access control rules. Write custom schemas, define how users connect to resources, and perform instant permission checks using natural language prompts.
It's your single point of truth for complex identity and access management (IAM) policies across multiple isolated client environments.
What AI agents can do with Permify Automation
Bulk check permissions
Checks if a user has the required rights to perform an action on multiple resources in one request.
Check permission
Performs a single check to determine if a user is allowed access to a specific resource.
Create tenant
Sets up an entirely new, isolated client environment within Permify.
The MCP performs resource-based checks to confirm if a specific user has the necessary rights to perform an action on a given asset.
It retrieves all stored relationship tuples, letting you map out exactly who is connected to what entity within your system.
You can write or partially update the core rule sets (schemas) that govern how permissions work for a client tenant.
The system allows you to create, list, and delete completely separate tenants, keeping different clients' rules isolated.
Instead of checking permissions one by one, the MCP runs large batches of validation checks in a single operation.
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What AI agents can do with Permify MCP with 22 Tools
These tools allow your agent to perform every action related to defining, checking, deleting, or viewing authorization policies within the Permify system.
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 Permify on VinkiusBulk Check Permissions
Checks if a user has the required rights to perform an action on multiple resources in one request.
Check Permission
Performs a single check to determine if a user is allowed access to a specific...
Create Tenant
Sets up an entirely new, isolated client environment within Permify.
Delete Bundle
Removes a predefined set of access rules or policies that were grouped together.
Delete Data
Deletes specific relationship tuples and associated attribute data records.
Delete Tenant
Permanently removes an entire client environment or tenant from the system.
Expand Permissions
Retrieves a list of all users who have any relationship connection to a specific entity.
List Schemas
Lists every version of the authorization model schema that exists for a given tenant.
List Tenants
Provides an overview list of all active client tenants managed by Permify.
Lookup Entity
Finds which specific resources a user is permitted to act upon.
Lookup Subject
Determines which subjects or users are capable of performing an action on a...
Partial Write Schema
Updates only a small part of an existing, defined authorization model schema without overwriting everything.
Read Attributes
Queries and reads specific pieces of stored attribute data attached to records.
Read Bundle
Retrieves the full details for a predefined group or bundle of access rules.
Read Relationships
Queries and reads all stored records that define how two entities relate to each...
Read Schema
Inspects the full details of a specific, named version of an authorization model...
Run Bundle
Executes a predefined collection of access rules or policies to validate behavior.
Subject Permission
Lists all possible actions (permissions) that a single user can perform on an entity.
Write Bundle
Defines or updates a group of access rules, treating them as a cohesive unit.
Write Data
Creates new relationship tuples and writes attribute data to the system.
Write Schema
Writes or creates an entirely new authorization model schema for a tenant.
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 Permify 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 every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Permify, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Permify. 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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Built on the Model Context Protocol (MCP) for Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 21 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Manual access audits require clicking through dozens of separate dashboards., Solved with Vinkius AI Gateway
Today, checking if a user has proper rights means logging into the database console. You click to view schemas, then copy-paste IDs from one tab, manually check them against another list of attributes, and finally run specific API calls just for that single resource. It's tedious, error-prone work.
With this MCP, you simply ask your agent: 'Does User X have permission Y on Resource Z?' The agent handles the entire sequence—looking up schemas, checking relationships, verifying data—and gives you a simple yes or no answer.
Permify MCP Gives You Granular Control Over Every Permission
The biggest time sink goes away: manually tracking relationship tuples. Instead of running reports across multiple tables to see who relates to what, you can use `read_relationships` and get a definitive graph view immediately.
Your agent handles the complexity; you just get the answer. You control policy enforcement at a level that was previously reserved for dedicated engineering teams.
What your AI can actually do with this
Need to know who can do what on which resource? This MCP lets you build and manage those rules directly with your agent. You write authorization models—the actual schemas—for specific clients, defining the precise permissions they have. It handles everything from writing basic data records that define relationships to checking if a user is allowed to view a document or delete a record.
If you're managing multiple client environments, you can create and isolate those tenants in one place. When you connect it through Vinkius, your agent accesses the entire catalog of tools, giving you total control over your access policies without needing raw API calls.
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Here's how it actually works
The bottom line is you get a conversational interface to manage infrastructure that used to require dedicated API scripts.
Subscribe to this MCP and provide your Permify API URL and Secret Token credentials.
Connect your agent using your preferred AI client (like Claude or Cursor) through the Vinkius platform.
Start querying access policies, building schemas, or checking permissions via natural language prompts.
Who is this actually for?
Security Engineers and Backend Developers need this. If manually verifying access rights across multiple clients feels like debugging complex spreadsheets, this MCP gives your agent the power to do it for you.
You audit the entire system's access control logic and check relationship graphs without writing a single manual API call.
You test new authorization schemas or update existing data tuples during development cycles, letting your agent handle the boilerplate calls.
You automate tenant provisioning and policy updates across multiple client environments using scripted commands.
What Changes When You Connect
Verify user permissions instantly. Instead of writing multiple check_permission calls, you ask your agent directly if a user can edit a document or delete a record.
Audit relationships easily. Use the ability to query stored relational tuples via read_relationships to visualize every connection between subjects and assets without manual database queries.
Handle multi-client setups simply. You use list_tenants to see all active clients, and create_tenant or delete_tenant keeps each client's rules totally separate.
Improve development speed. Backend developers can quickly test new schemas by using write_schema and then validating the data with write_data, cutting down testing time dramatically.
Scale your checks efficiently. When you need to validate hundreds of access rights, running a single request through bulk_check_permissions is far faster than looping through individual API calls.
See it in action
Onboarding a New Client
A DevOps Engineer needs to provision an entirely new client environment. They ask their agent to use the create_tenant tool, which instantly spins up the isolated tenant ID and allows them to immediately start writing its specific rules without touching the infrastructure console.
Debugging Access Issues
A Security Engineer notices a user is blocked. Instead of guessing, they ask their agent to run lookup_entity for that user and entity. The agent shows all possible actions and confirms exactly why the access fails.
Policy Update Automation
A Backend Developer needs to update a core system policy. They use partial_write_schema to adjust only one small rule within a massive authorization model, ensuring they don't accidentally break unrelated access rights.
Full System Audit
The team must verify all current data connections for compliance. They prompt the agent to use expand_permissions on a critical asset, instantly listing every subject that has any relationship with it.
The honest tradeoffs
Calling APIs sequentially
A user writes code that calls check_permission for User A, then checks permission for User B, and repeats this process dozens of times. This is slow and inefficient.
Instead, ask your agent to use the bulk_check_permissions tool. It processes many users' rights in one single request, saving time and resources.
Ignoring tenant isolation
A developer accidentally runs a schema write command against the wrong client ID, potentially overwriting policies for another paying customer.
Always use list_tenants first to confirm you are working in the correct isolated environment. Then, use write_schema or partial_write_schema knowing your boundary is secure.
Over-writing policies
A developer uses a general 'update' command that resets all rules for a tenant when they only meant to change one small detail.
Use partial_write_schema instead of full schema writes. This tool lets you modify specific parts of the authorization model without affecting everything else.
When It Fits, When It Doesn't
Use this MCP if your primary pain point is managing complex, fine-grained access control (who can do what on which resource) across multiple client environments. If your job involves writing schemas, defining relationships, or auditing permissions graphs, you need this.
Don't use it if you only need to manage simple user lists or basic messaging functions; those are better handled by dedicated communication tools. Similarly, if you just need a generic database interface without access control logic, another data-focused MCP might work. However, because Permify is built specifically around policy enforcement and relationship auditing—tools like read_relationships and check_permission—it's the definitive choice for IAM needs.
Questions you might have
How do I check if a user has permission using Permify MCP? +
You use the check_permission tool. Simply tell your agent which user, what resource, and what action you want to verify. The result is immediate and definitive.
Can I manage multiple clients with Permify MCP? +
Yes, absolutely. You use list_tenants to see all current environments, and create_tenant or delete_tenant keeps each client's rules totally separated.
What is the difference between write_schema and partial_write_schema in Permify MCP? +
write_schema creates an entire new model from scratch. Use partial_write_schema when you only want to tweak a few rules on an existing schema without touching everything else.
Does Permify MCP handle large-scale checks? +
Yes. For high volumes of validation, use the bulk_check_permissions tool. It is designed to process many permissions in one efficient request.
Where can I find out who has access to an entity using Permify MCP? +
You run expand_permissions. This function retrieves all subjects, or users, that have any defined relationship with the specific asset you name.
We've already built the connector for Permify. Just plug in your AI agents and start using Vinkius.
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