How to Use the BoxyHQ (Enterprise SSO) MCP in LangChain

Build complex auth chains in LangChain by connecting your agents directly to BoxyHQ (Enterprise SSO).

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Connect BoxyHQ (Enterprise SSO) MCP to LangChain

Create your Vinkius account to connect BoxyHQ (Enterprise SSO) 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 BoxyHQ (Enterprise SSO) with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain together identity operations

Trigger `add_connection` or `update_connection` as part of a multi-step workflow. You define how the agent handles SAML or OIDC configuration changes within a sequence of logic. LangChain treats these tool calls as nodes in a graph. You get full visibility into how your identity management chain executes using LangSmith tracing.

Automate user and group provisioning

Feed the results of `get_directory_users` into downstream processing blocks. Your agent parses directory data to decide if a user requires specific access rights. This MCP server provides the raw data your chain needs to make decisions. You control the logic flow and the final state of your directory sync.

Monitor your auth infrastructure

Run `health_check` at the start of any chain to verify BoxyHQ connectivity. If the service is unreachable, your agent can fail early or alert you. It keeps your pipeline clean by ensuring the identity layer is responsive. You avoid bad state by checking status before executing sensitive operations.

Setup guide

Set up BoxyHQ (Enterprise SSO) 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 BoxyHQ (Enterprise SSO) 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({
    "boxyhq-enterprise-sso-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 BoxyHQ (Enterprise SSO) transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by BoxyHQ. 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 BoxyHQ (Enterprise SSO) MCP in LangChain

Yes, you can script the entire lifecycle of an SSO connection. The tools allow your agent to add, update, and remove connections based on input from your chain.

All data flows through the secure connection established between the server and your LangChain agent. You control which tools are exposed, keeping raw identity records out of your logs unless you explicitly trace them.

Absolutely, the adapter allows your agent to call these functions as native tools. It fits directly into your existing LangGraph or chain architecture.

You can catch the error response from the tool and route it to a handler. Your agent can then log the issue or attempt a retry based on your logic.

No. The server acts as a bridge for SAML/OIDC and SCIM data. It does not persist user records, ensuring your directory information remains within your own infrastructure.

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