How do I find my Authing User Pool ID and Access Key?

Log in to your Authing console, select your project or user pool, and you will find your User Pool ID in the basic info section. Generate your Access Key ID and Secret in the [Settings] → [Access Key] section.

Can I retrieve security audit logs through this server?

Yes. Use the `get_audit_logs` tool to retrieve a list of recent administrative and user actions, helping you maintain a clear trail for security compliance.

Is it possible to list organizations and their structures?

Yes! Use the `list_organizations` tool to retrieve all organizational units defined in your user pool, allowing your agent to understand your company's hierarchy.

Authing MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: Authing
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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 Authing. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

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High SecurityEnterprise-grade

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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 Authing MCP Server

Empower your AI agent to orchestrate your entire identity infrastructure with Authing, the premier cloud-native IDaaS platform. By connecting Authing to your agent, you transform complex user management, organizational modeling, and security auditing into a natural conversation. Your agent can instantly list users, retrieve detailed profile metadata, browse organizational structures, and monitor security audit logs without you ever needing to navigate the comprehensive Authing console. Whether you are conducting a compliance audit or managing application access, your agent acts as a real-time identity assistant, keeping your user data accurate and your systems secure.

LlamaIndex agents combine Authing tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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

User Orchestration — List and retrieve detailed information about users in your Authing user pool.
Organizational Management — Browse and monitor organizational units and hierarchies across your company.
Access Control Auditing — List roles, groups, and permission resources to identify authorization patterns.
Security Monitoring — Retrieve real-time security audit logs to monitor administrative and user actions.
System Configuration — Access high-level security settings and metadata for your identity projects.

The Authing MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Authing to LlamaIndex via MCP

Follow these steps to integrate the Authing MCP Server with LlamaIndex.

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 10 tools from Authing

Why Use LlamaIndex with the Authing MCP Server

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

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

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

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

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

Authing + LlamaIndex Use Cases

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

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

Data enrichment: query Authing 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 Authing for fresh data

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

Authing MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Authing to LlamaIndex via MCP:

create_user

Create a new user

get_audit_logs

Get security audit logs

get_security_settings

Get pool security settings

get_user

Get user details

list_applications

List registered applications

list_groups

List user groups

list_organizations

List organizations

list_resources

List permission resources

list_roles

List user roles

list_users

List application users

Example Prompts for Authing in LlamaIndex

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

"List all users in our Authing pool."

"Show me the security audit logs from today."

"List all organizational units in the company."

Troubleshooting Authing MCP Server with LlamaIndex

Common issues when connecting Authing to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Authing + LlamaIndex FAQ

Common questions about integrating Authing 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 Authing tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.