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Permit.io MCP Server for LlamaIndexGive LlamaIndex instant access to 18 tools to Assign Permissions To Role, Assign Role To User, Authzen Access Evaluation, and more

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

Ask AI about this MCP Server for LlamaIndex

The Permit.io MCP Server for LlamaIndex is a standout in the Fort Knox category — giving your AI agent 18 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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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 Permit.io. "
            "You have 18 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Permit.io?"
    )
    print(response)

asyncio.run(main())
Permit.io
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* 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 Permit.io MCP Server

Connect your Permit.io account to any AI agent to manage your application's authorization layer through natural language. This server allows you to evaluate permissions, manage your authorization schema, and handle user facts without touching code.

LlamaIndex agents combine Permit.io tool responses with indexed documents for comprehensive, grounded answers. Connect 18 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

  • Policy Evaluation — Instantly check if a user is permitted to perform specific actions on resources using the check_permission tool.
  • Schema Management — Create resources, define roles, and assign permissions dynamically to build RBAC or ReBAC (Relationship-Based Access Control) structures.
  • Fact Management — Provision users and tenants directly into your authorization environment to keep your permission data in sync.
  • AuthZen Compatibility — Use standardized AuthZen evaluation tools for interoperable access control checks.
  • ReBAC Relations — Define complex relationships between resources to handle hierarchical or ownership-based permissions.

The Permit.io MCP Server exposes 18 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 18 Permit.io tools available for LlamaIndex

When LlamaIndex connects to Permit.io through Vinkius, your AI agent gets direct access to every tool listed below — spanning authorization, rbac, rebac, 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.

assign

Assign permissions to role on Permit.io

Assign permissions to a role

assign

Assign role to user on Permit.io

Assign a role to a user in a tenant

authzen

Authzen access evaluation on Permit.io

AuthZen Access Evaluation

authzen

Authzen action search on Permit.io

AuthZen Action Search

authzen

Authzen bulk evaluations on Permit.io

AuthZen Bulk Evaluations

authzen

Authzen resource search on Permit.io

AuthZen Resource Search

authzen

Authzen subject search on Permit.io

AuthZen Subject Search

bulk

Bulk assign roles on Permit.io

Bulk assign roles (max 2000)

bulk

Bulk create tenants on Permit.io

Bulk create tenants (max 2000)

bulk

Bulk create users on Permit.io

Bulk create users (max 3000)

bulk

Bulk relationship tuples on Permit.io

Bulk create relationship tuples (max 1000)

check

Check permission on Permit.io

Check if a user is permitted to perform an action on a resource

create

Create relation on Permit.io

Create a ReBAC relation between resources

create

Create relationship tuple on Permit.io

Create a ReBAC relationship tuple

create

Create resource on Permit.io

Create a new resource in the schema

create

Create role on Permit.io

Create a new role in the schema

create

Create tenant on Permit.io

Create a new tenant fact

create

Create user on Permit.io

Create a new user fact

Connect Permit.io to LlamaIndex via MCP

Follow these steps to wire Permit.io into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 18 tools from Permit.io

Why Use LlamaIndex with the Permit.io MCP Server

LlamaIndex provides unique advantages when paired with Permit.io through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Permit.io tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Permit.io tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Permit.io, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Permit.io tools were called, what data was returned, and how it influenced the final answer

Permit.io + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Permit.io MCP Server delivers measurable value.

01

Hybrid search: combine Permit.io real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Permit.io to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Permit.io for fresh data

04

Analytical workflows: chain Permit.io queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Permit.io in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Permit.io immediately.

01

"Check if user 'admin@company.com' is permitted to 'delete' the 'server' resource in tenant 'production'."

02

"Create a new resource 'document' with actions 'read', 'write', and 'share' in project 'my-app' environment 'dev'."

03

"Assign the permissions 'document:read' and 'document:write' to the 'editor' role in project 'my-app' environment 'dev'."

Troubleshooting Permit.io MCP Server with LlamaIndex

Common issues when connecting Permit.io to LlamaIndex through Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Permit.io + LlamaIndex FAQ

Common questions about integrating Permit.io MCP Server with LlamaIndex.

01

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.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Permit.io tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

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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