How to Use the FusionAuth (Enterprise Identity & Auth) MCP in LangChain

Q: How do I connect the FusionAuth (Enterprise Identity & Auth) MCP server to LangChain?

Install langchain-mcp-adapters. Then initialize MultiServerMCPClient pointing to your Vinkius endpoint and pass the retrieved tools to your agent.

Q: Can LangChain agents handle FusionAuth (Enterprise Identity & Auth) MFA setups?

Yes. Your agent can execute generatemfasecret and enablemfa sequentially. The agent reads the secret from the first call and applies it to the second.

Q: How do I manage persistent sessions across token updates?

Use client.session() to maintain state. This keeps your agent aware of newly issued tokens when running refreshjwt.

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Connect FusionAuth (Enterprise Identity & Auth) MCP to LangChain

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Setup FusionAuth (Enterprise Identity & Auth) with LangChain

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Automate User Onboarding with LangChain

The FusionAuth MCP server lets your LangChain agents handle user provisioning directly. You can build a chain that takes an incoming request, runs `create_user`, and instantly fires off `register_user` to assign that identity to a specific application. Because LangChain passes the output of one tool directly into the next, this happens without human intervention. Your agent reads the new user ID from the first step and plugs it into `add_group_member` to set up their permissions based on your internal rules.

Multi-Step Auth Flows

Your ReAct agents can navigate complex authentication requirements using raw API calls. When a user needs access, the agent executes `login` and evaluates the response. If the system demands a second factor, the agent automatically pivots to `start_mfa` and `mfa_login` to complete the sequence. You track every single API request through LangSmith. If a token refresh fails during `refresh_jwt`, you see exactly which inputs the agent sent and how long the server took to reject them.

FusionAuth MCP Server Auditing

Setting up isolated customer environments usually requires clicking through a UI for an hour. Now, your agent runs `create_tenant` and immediately follows up with `create_application` to configure the new workspace. You define the configuration logic once in your pipeline. The agent handles generating the keys via `create_api_key` and setting up external listeners using `create_webhook`, giving you a fully operational tenant in seconds.

Setup guide

Set up FusionAuth (Enterprise Identity & Auth) 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 FusionAuth (Enterprise Identity & Auth) 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({
    "fusionauth-enterprise-identity-auth-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 FusionAuth (Enterprise Identity & Auth) 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 FusionAuth. 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 FusionAuth (Enterprise Identity & Auth) MCP in LangChain

Install `langchain-mcp-adapters`. Then initialize `MultiServerMCPClient` pointing to your Vinkius endpoint and pass the retrieved tools to your agent.

Yes. Your agent can execute `generate_mfa_secret` and `enable_mfa` sequentially. The agent reads the secret from the first call and applies it to the second.

LangSmith logs every tool execution. You see the exact millisecond duration for calls like `issue_jwt` or `get_system_health`.

Use `client.session()` to maintain state. This keeps your agent aware of newly issued tokens when running `refresh_jwt`.

Vinkius runs the server in an ephemeral V8 Isolate. The system processes credentials and JWT payloads in memory during the tool execution, then destroys the sandbox completely. Nothing writes to disk.

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