How to Use the Hanko (Passkey Auth) MCP in LlamaIndex

Index your identity data in LlamaIndex using Hanko (Passkey Auth) MCP servers for smarter RAG.

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Connect Hanko (Passkey Auth) MCP to LlamaIndex

Create your Vinkius account to connect Hanko (Passkey Auth) 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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Setup Hanko (Passkey Auth) with LlamaIndex

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Searchable user identity records

Map user credential metadata into your LlamaIndex knowledge base. By indexing results from `admin_list_users`, you allow your RAG application to answer questions about user status and registration state without hitting the API repeatedly. This turns static identity data into a queryable resource. Your search results stay grounded in the latest data from the Hanko (Passkey Auth) server.

Contextual passkey login flows

Trigger authentication sequences based on your agent's reasoning. When the system detects a need for elevated privileges, it uses `passkey_login_init` to generate the necessary challenge for your frontend. This integration allows your LlamaIndex agent to gate access to specific documents. It only proceeds once `passkey_login_finalize` confirms the identity.

Transaction verification for RAG apps

Protect your agent's actions with transaction-specific auth. Use `passkey_transaction_init` to start a secure, signed request that your users can verify on their devices. The LlamaIndex agent waits for `passkey_transaction_finalize` before finalizing any changes to your vector store or configuration settings. It's a clean way to ensure user intent matches agent action.

Setup guide

Set up Hanko (Passkey Auth) MCP in LlamaIndex

Prerequisites

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

1

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

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Hanko (Passkey Auth) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
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 Hanko (Passkey Auth) tools.",
)
response = await agent.run("List recent Hanko (Passkey Auth) data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Hanko. 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.

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Common questions about Hanko (Passkey Auth) MCP in LlamaIndex

Use the MCP tool spec to pull user records and ingest them into your vector store. You can then query this index to find specific credential patterns or user statuses.

Absolutely, set up an agent that requires a valid session check via `public_validate_session` before it retrieves documents from your index.

By treating auth status as metadata, your retrievers can filter out documents that shouldn't be accessible to unauthenticated or guest users.

The server only provides the public credential information needed for indexing. Sensitive user-specific passkey material never touches your vector store.

Keep your tools restricted to the necessary admin operations. Validate every session token before letting the agent perform RAG queries on sensitive identity data.

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