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Vinkius
LlamaIndexFramework
LlamaIndex
Cerbos (Access Control) MCP Server

Bring Authorization
to LlamaIndex

Learn how to connect Cerbos (Access Control) to LlamaIndex and start using 19 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Add PolicyAdd SchemaAuthzen EvaluationAuthzen EvaluationsCheck ResourcesDelete PolicyDisable PolicyEnable PolicyGet Authzen ConfigGet HealthGet MetricsGet PolicyGet SchemaGet Server InfoList Audit LogsList PoliciesList SchemasPlan ResourcesUpdate Policy

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Cerbos (Access Control)

What is the Cerbos (Access Control) MCP Server?

Connect your Cerbos instance to any AI agent to streamline authorization management and policy auditing through natural language.

What you can do

  • Permission Checks — Use check_resources to evaluate if a principal (user) has the rights to perform specific actions on resources.
  • Query Planning — Generate AST query plans with plan_resources to filter database results based on complex authorization logic.
  • Policy Management — List, retrieve, add, or delete policies (RBAC/ABAC) using the Admin API tools like list_policies and add_policy.
  • Schema & Auditing — Inspect resource schemas and review access logs with list_auditLogs to ensure compliance.
  • Health & Metrics — Monitor your PDP (Policy Decision Point) status with get_health and get_metrics directly from the chat.

How it works

  1. Subscribe to this server
  2. Enter your Cerbos PDP URL and Admin credentials (if required for policy management)
  3. Start auditing and managing your access control logic from Claude, Cursor, or any MCP client

Who is this for?

  • Security Engineers — quickly audit existing policies and verify permission logic without manual API calls
  • Backend Developers — test authorization scenarios and generate database filter plans during development
  • Compliance Officers — retrieve audit logs and policy definitions to ensure organizational security standards

Built-in capabilities (19)

add_policy

Add a new policy

add_schema

Add or update a schema

authzen_evaluation

Perform a single AuthZEN access evaluation

authzen_evaluations

Perform batch AuthZEN access evaluations

check_resources

Check permissions for a set of resources

delete_policy

Delete a policy by ID

disable_policy

Disable a policy

enable_policy

Enable a policy

get_authzen_config

Get AuthZEN configuration metadata

get_health

Get Cerbos health status

get_metrics

Get Prometheus metrics from Cerbos

get_policy

Get a specific policy by ID

get_schema

Get a specific schema by ID

get_server_info

Get Cerbos server version and build information

list_audit_logs

List audit logs

list_policies

List all policies

list_schemas

List all schemas

plan_resources

Produce a query plan (AST) for filtering resources

update_policy

Update an existing policy

Why LlamaIndex?

LlamaIndex agents combine Cerbos (Access Control) tool responses with indexed documents for comprehensive, grounded answers. Connect 19 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

  • Data-first architecture: LlamaIndex agents combine Cerbos (Access Control) tool responses with indexed documents for comprehensive, grounded answers

  • Query pipeline framework lets you chain Cerbos (Access Control) tool calls with transformations, filters, and re-rankers in a typed pipeline

  • Multi-source reasoning: agents can query Cerbos (Access Control), a vector store, and a SQL database in a single turn and synthesize results

  • Observability integrations show exactly what Cerbos (Access Control) tools were called, what data was returned, and how it influenced the final answer

L
See it in action

Cerbos (Access Control) in LlamaIndex

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Cerbos (Access Control) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Cerbos (Access Control) to LlamaIndex 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.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Cerbos (Access Control) in LlamaIndex

The Cerbos (Access Control) 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 19 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LlamaIndex 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.

Cerbos (Access Control)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures Cerbos (Access Control) for LlamaIndex

Every tool call from LlamaIndex to the Cerbos (Access Control) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I test if a specific user has access to a resource without writing code?

Yes. You can ask the agent to use the check_resources tool by providing the principal (user) details and the resource you want to check. The agent will return the allowed or denied status based on your Cerbos policies.

02

How do I view all the authorization policies currently loaded in my Cerbos server?

Simply ask the agent to 'list all policies'. It will invoke the list_policies tool (requires Admin credentials) and display the IDs of all active policies in your environment.

03

Can the AI help me generate filters for my database based on permissions?

Yes, by using the plan_resources tool. The agent will generate a query plan (AST) that describes the conditions under which a user is allowed to access resources, which you can then apply to your database queries.

04

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

05

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Cerbos (Access Control) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

06

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

07

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

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