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How to Use the Auth0 MCP in LlamaIndex

Index your entire Auth0 identity state into LlamaIndex for semantic search and grounded answers.

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LlamaIndex

Connect Auth0 MCP to LlamaIndex

Create your Vinkius account to connect Auth0 to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Build a searchable Auth0 knowledge base

Index your `list_logs` and `list_users` output directly into your LlamaIndex vector store. This turns your identity data into a queryable knowledge base that your agent searches to answer complex questions about your tenant. Instead of querying APIs manually, your agent finds answers in the indexed data. It retrieves user metadata via `get_user` and adds it to your index, allowing you to ask questions about preference patterns across your user base.

Perform RAG on identity configurations

Run `list_connections` to pull your IdP metadata and index it for your LlamaIndex agent. You get accurate answers about your AD/LDAP or Social connection settings without hallucinating details. Your agent uses these indexed documents to ground its reasoning. When you ask about authentication strategies, the system references the actual configuration data pulled from your tenant.

Track Auth0 changes with LlamaIndex

Use `list_logs` to continuously update your vector store with recent tenant activity. Your LlamaIndex agent monitors these logs to provide context on recent logins or failed JWT validations. This setup allows for semantic searching of your tenant history. You ask about specific user migration events or rate limit spikes, and the agent pulls the relevant log entries from your index.

Setup guide

Set up Auth0 MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all Auth0 MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

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

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Auth0 tools.",
)
response = await agent.run("List recent Auth0 data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Auth0. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Auth0 MCP in LlamaIndex

You choose which tool outputs are indexed. Typically, developers index `list_users` and `list_logs` to allow their LlamaIndex agent to perform semantic lookups on identity state.
The MCP Server transmits data over encrypted channels to your LlamaIndex environment. You control the storage security within your own vector database implementation.
Yes, use `list_clients` to populate your index. Your LlamaIndex agent then searches through your application configurations to answer questions about grant types or web origins.
You need an Auth0 tenant token. Once configured, your LlamaIndex agent performs operations within the limits of your provided credentials.
The MCP Server only fetches user_metadata and sensitive identifiers when you explicitly call `get_user`. This keeps PII out of your LlamaIndex index unless you specifically choose to persist that data.

Start using the Auth0 MCP today

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