Cerbos (Access Control) MCP Server for LlamaIndexGive LlamaIndex instant access to 19 tools to Add Policy, Add Schema, Authzen Evaluation, and more

Name: Cerbos (Access Control)
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Cerbos (Access Control) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The Cerbos (Access Control) MCP Server for LlamaIndex is a standout in the Developer Tools category — giving your AI agent 19 tools to work with, ready to go from day one.

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Cerbos (Access Control). "
            "You have 19 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Cerbos (Access Control)?"
    )
    print(response)

asyncio.run(main())

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

About Cerbos (Access Control) MCP Server

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

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.

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.

The Cerbos (Access Control) MCP Server exposes 19 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 19 Cerbos (Access Control) tools available for LlamaIndex

When LlamaIndex connects to Cerbos (Access Control) through Vinkius, your AI agent gets direct access to every tool listed below — spanning authorization, rbac, abac, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add policy on Cerbos (Access Control)

Add a new policy

add

Add schema on Cerbos (Access Control)

Add or update a schema

authzen

Authzen evaluation on Cerbos (Access Control)

Perform a single AuthZEN access evaluation

authzen

Authzen evaluations on Cerbos (Access Control)

Perform batch AuthZEN access evaluations

check

Check resources on Cerbos (Access Control)

Check permissions for a set of resources

delete

Delete policy on Cerbos (Access Control)

Delete a policy by ID

disable

Disable policy on Cerbos (Access Control)

Disable a policy

enable

Enable policy on Cerbos (Access Control)

Enable a policy

get

Get authzen config on Cerbos (Access Control)

Get AuthZEN configuration metadata

get

Get health on Cerbos (Access Control)

Get Cerbos health status

get

Get metrics on Cerbos (Access Control)

Get Prometheus metrics from Cerbos

get

Get policy on Cerbos (Access Control)

Get a specific policy by ID

get

Get schema on Cerbos (Access Control)

Get a specific schema by ID

get

Get server info on Cerbos (Access Control)

Get Cerbos server version and build information

list

List audit logs on Cerbos (Access Control)

List audit logs

list

List policies on Cerbos (Access Control)

List all policies

list

List schemas on Cerbos (Access Control)

List all schemas

plan

Plan resources on Cerbos (Access Control)

Produce a query plan (AST) for filtering resources

update

Update policy on Cerbos (Access Control)

Update an existing policy

Connect Cerbos (Access Control) to LlamaIndex via MCP

Follow these steps to wire Cerbos (Access Control) into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 19 tools from Cerbos (Access Control)

Why Use LlamaIndex with the Cerbos (Access Control) MCP Server

LlamaIndex provides unique advantages when paired with Cerbos (Access Control) through the Model Context Protocol.

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

Cerbos (Access Control) + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Cerbos (Access Control) MCP Server delivers measurable value.

Hybrid search: combine Cerbos (Access Control) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Cerbos (Access Control) to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Cerbos (Access Control) for fresh data

Analytical workflows: chain Cerbos (Access Control) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Cerbos (Access Control) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Cerbos (Access Control) immediately.

"Check if user 'user_123' with role 'admin' can 'delete' the resource 'document:abc'."

"Show me the health status and version of my Cerbos server."

"List all policies and tell me if there are any for the 'expense' resource."

Troubleshooting Cerbos (Access Control) MCP Server with LlamaIndex

Common issues when connecting Cerbos (Access Control) to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Cerbos (Access Control) + LlamaIndex FAQ

Common questions about integrating Cerbos (Access Control) MCP Server with LlamaIndex.

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.

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.

Does LlamaIndex support async MCP calls?

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

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