How to Use the Corbado MCP in LangChain

Q: How does LangChain handle the multi-step passkey login process with Corbado?

Your agent runs a chain starting with startpasskeylogin to get the challenge parameters. Once the browser signs the challenge, the agent passes the assertion to finishpasskeylogin to complete the secure handshake.

Q: How do I handle Corbado authentication fallbacks in my LangChain agent?

The agent evaluates the output of initauthprocess. If passkeys are unavailable, the agent falls back to email or SMS identifiers by invoking startidentifierverify and finishidentifierverify sequentially.

Run multi-step user provisioning and passkey setups inside your LangChain reasoning pipelines using this MCP Server.

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Connect Corbado MCP to LangChain

Create your Vinkius account to connect Corbado to LangChain 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 LangChain

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Chain User Provisioning in LangChain

This Corbado MCP Server exposes user management tools to let your agent provision accounts during conversational onboarding. Your agent starts by checking if a user exists with `get_user`, then spins up a new profile using `create_user` if the lookup comes back empty. Because LangChain traces every step in LangSmith, you see the exact payload passed to `create_identifier` and the resulting status. You don't have to write glue code to link these steps together; the output of the lookup feeds directly into the creation tool.

Automated Passkey Verification Flows

This Corbado MCP Server manages WebAuthn handshakes using the `start_passkey_append` and `finish_passkey_append` tools. Your agent initiates the challenge, hands the credential request to the client, and verifies the signed response. LangChain structures this multi-turn handshake into a single logical execution block. If a verification fails during `verify_signed_data`, the agent catches the error, triggers `reset_auth_process`, and asks the user to try again.

Session Management and Revocation

This Corbado MCP Server handles session auditing via `list_sessions` and `revoke_session` to secure compromised accounts. Your agent evaluates active connections and terminates suspicious ones based on rules you define in your prompt. Combining these tools with LangChain's memory lets your agent track session states across a long conversation. If a user asks to log out of all devices, the agent loops through the active sessions and executes `revoke_session` for each token found.

Setup guide

Set up Corbado MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Corbado tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "corbado-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Corbado transactions"
    })
    print(result["messages"][-1].content)

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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 LangChain

Your agent runs a chain starting with `start_passkey_login` to get the challenge parameters. Once the browser signs the challenge, the agent passes the assertion to `finish_passkey_login` to complete the secure handshake.

Yes. Because this runs as an MCP Server, every tool call like `create_user` or `list_identifiers` is fully visible in LangSmith. You can inspect latency, payload sizes, and exact parameters for every authentication event.

The agent evaluates the output of `init_auth_process`. If passkeys are unavailable, the agent falls back to email or SMS identifiers by invoking `start_identifier_verify` and `finish_identifier_verify` sequentially.

The server returns a standard error schema that your agent catches. The agent can then automatically call `reset_auth_process` to clear the state and prompt the user for a different authentication method.

This server handles sensitive fields like user identifiers and WebAuthn signatures within a secure V8 sandbox. Only the necessary parameters for `verify_signed_data` are processed, and session tokens are never stored permanently on the host.

Use it with your favorite AI tools

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