OpenFGA (Fine-Grained Auth) MCP Server for LlamaIndexGive LlamaIndex instant access to 16 tools to Batch Check Relations, Check Relation, Create Store, and more

Name: OpenFGA (Fine-Grained Auth)
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add OpenFGA (Fine-Grained Auth) 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 OpenFGA (Fine-Grained Auth) MCP Server for LlamaIndex is a standout in the Developer Tools category — giving your AI agent 16 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 OpenFGA (Fine-Grained Auth). "
            "You have 16 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in OpenFGA (Fine-Grained Auth)?"
    )
    print(response)

asyncio.run(main())

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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 OpenFGA (Fine-Grained Auth) MCP Server

Connect your OpenFGA instance to any AI agent to manage Relationship-Based Access Control (ReBAC) through natural conversation. OpenFGA is an open-source fine-grained authorization solution inspired by Google's Zanzibar.

LlamaIndex agents combine OpenFGA (Fine-Grained Auth) tool responses with indexed documents for comprehensive, grounded answers. Connect 16 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

Store Management — Create, list, and delete isolated stores to manage authorization data for different environments or applications.
Authorization Modeling — Define and retrieve complex authorization models using types and relations to represent your system's permissions.
Tuple Management — Write, read, and track changes to relationship tuples that define which users have which relations to specific objects.
Relationship Checks — Instantly evaluate whether a user has a specific relation to an object (e.g., 'can user:anne view document:1?').
Health Monitoring — Quickly check the status of your OpenFGA instance to ensure high availability.

The OpenFGA (Fine-Grained Auth) MCP Server exposes 16 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 16 OpenFGA (Fine-Grained Auth) tools available for LlamaIndex

When LlamaIndex connects to OpenFGA (Fine-Grained Auth) through Vinkius, your AI agent gets direct access to every tool listed below — spanning authorization, rebac, access-control, 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.

batch

Batch check relations on OpenFGA (Fine-Grained Auth)

Perform multiple checks in one request

check

Check relation on OpenFGA (Fine-Grained Auth)

Check if a user has a relation to an object

create

Create store on OpenFGA (Fine-Grained Auth)

Create a new OpenFGA store

delete

Delete store on OpenFGA (Fine-Grained Auth)

Delete an OpenFGA store

expand

Expand relation on OpenFGA (Fine-Grained Auth)

Expand a relation into a tree

get

Get authorization model on OpenFGA (Fine-Grained Auth)

Get a specific authorization model

get

Get store on OpenFGA (Fine-Grained Auth)

Get OpenFGA store details

health

Health check on OpenFGA (Fine-Grained Auth)

Check OpenFGA server health

list

List authorization models on OpenFGA (Fine-Grained Auth)

List authorization models

list

List objects on OpenFGA (Fine-Grained Auth)

List all objects a user can access

list

List stores on OpenFGA (Fine-Grained Auth)

List all OpenFGA stores

list

List users on OpenFGA (Fine-Grained Auth)

List all users who have a relation to an object

read

Read changes on OpenFGA (Fine-Grained Auth)

Read changes to relationship tuples

read

Read tuples on OpenFGA (Fine-Grained Auth)

Query stored relationship tuples

write

Write authorization model on OpenFGA (Fine-Grained Auth)

Write a new authorization model

write

Write tuples on OpenFGA (Fine-Grained Auth)

Add or delete relationship tuples

Connect OpenFGA (Fine-Grained Auth) to LlamaIndex via MCP

Follow these steps to wire OpenFGA (Fine-Grained Auth) 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 16 tools from OpenFGA (Fine-Grained Auth)

Why Use LlamaIndex with the OpenFGA (Fine-Grained Auth) MCP Server

LlamaIndex provides unique advantages when paired with OpenFGA (Fine-Grained Auth) through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine OpenFGA (Fine-Grained Auth) tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain OpenFGA (Fine-Grained Auth) tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query OpenFGA (Fine-Grained Auth), a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what OpenFGA (Fine-Grained Auth) tools were called, what data was returned, and how it influenced the final answer

OpenFGA (Fine-Grained Auth) + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the OpenFGA (Fine-Grained Auth) MCP Server delivers measurable value.

Hybrid search: combine OpenFGA (Fine-Grained Auth) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query OpenFGA (Fine-Grained Auth) 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 OpenFGA (Fine-Grained Auth) for fresh data

Analytical workflows: chain OpenFGA (Fine-Grained Auth) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for OpenFGA (Fine-Grained Auth) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with OpenFGA (Fine-Grained Auth) immediately.

"List all my OpenFGA stores."

"Check if user 'anne' has the 'viewer' relation to 'document:doc1' in store 01H1..."

"Create a new OpenFGA store named 'Security-Audit-Logs'."

Troubleshooting OpenFGA (Fine-Grained Auth) MCP Server with LlamaIndex

Common issues when connecting OpenFGA (Fine-Grained Auth) to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

OpenFGA (Fine-Grained Auth) + LlamaIndex FAQ

Common questions about integrating OpenFGA (Fine-Grained Auth) 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 OpenFGA (Fine-Grained Auth) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.