How to Use the Corbado MCP in LlamaIndex

Q: How does LlamaIndex ingest user profiles from Corbado?

Your agent calls listusers and listidentifiers to retrieve the active user list. LlamaIndex then parses these JSON payloads into document nodes and indexes them for fast semantic retrieval.

Q: Can I query Corbado passkey registration status using LlamaIndex?

Yes. The agent uses listconnectpasskeys to pull device metadata. This data is indexed, allowing you to search for users who have registered specific hardware keys or mobile devices.

Q: How does this MCP Server handle live Corbado session updates in LlamaIndex?

You can set up a recurring query that calls listsessions. The agent indexes the active tokens, enabling real-time semantic search over who is currently logged into your platform.

Index user authentication histories and passkey configurations directly into LlamaIndex vector stores using this MCP Server.

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Connect Corbado MCP to LlamaIndex

Create your Vinkius account to connect Corbado 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 Corbado with LlamaIndex

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Index User Identifiers for Semantic Search using MCP Server

This Corbado MCP Server retrieves user profiles and authentication methods to build a searchable knowledge base. By calling `list_users` and `list_identifiers`, your agent gathers raw identity metadata. LlamaIndex converts this metadata into vector embeddings. When you query your system about user distribution or active login methods, the agent searches these embeddings instead of running slow database scans.

Context-Aware Passkey Auditing

This Corbado MCP Server tracks passkey status using `list_connect_passkeys` to verify which devices are registered to an account. Your agent queries this data to identify users who lack hardware-backed credentials. LlamaIndex stores these audit logs as nodes in a document index. The agent searches the index to generate reports on passkey adoption rates without hitting the live API for every single question.

Searchable Session and Auth Logs

This Corbado MCP Server monitors active access patterns using `list_sessions` and `get_auth_process`. The agent periodically pulls these records to keep your security index current. By feeding these logs into a LlamaIndex vector store, you can ask natural language questions about login anomalies. The agent matches the query against historical session data to pinpoint potential account takeovers.

Setup guide

Set up Corbado 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 Corbado 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 Corbado tools.",
)
response = await agent.run("List recent Corbado 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 Corbado. 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 Corbado MCP in LlamaIndex

Your agent calls `list_users` and `list_identifiers` to retrieve the active user list. LlamaIndex then parses these JSON payloads into document nodes and indexes them for fast semantic retrieval.

Yes. The agent uses `list_connect_passkeys` to pull device metadata. This data is indexed, allowing you to search for users who have registered specific hardware keys or mobile devices.

You can set up a recurring query that calls `list_sessions`. The agent indexes the active tokens, enabling real-time semantic search over who is currently logged into your platform.

It eliminates repetitive API calls. By keeping a local, indexed cache of user states and identifiers, your agent answers complex security questions instantly without hitting rate limits.

This server processes user identifiers and session details in an ephemeral V8 sandbox. No credential payloads or session secrets are written to disk, ensuring that only metadata reaches your index.

Use it with your favorite AI tools

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