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How to Use the Hopin (RingCentral Events) MCP in LangChain

Build event management pipelines in LangChain by chaining Hopin (RingCentral Events) tools into automated agentic workflows.

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Connect Hopin (RingCentral Events) MCP to LangChain

Create your Vinkius account to connect Hopin (RingCentral Events) 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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Automate registration flows in LangChain

Trigger `create_registration` directly from your agent chains to handle attendee sign-ups without manual platform intervention. Your LangChain agents process incoming data from webhooks or forms and execute the registration logic instantly. This keeps your event operations moving while you handle complex logic elsewhere. The agent remains the primary controller, ensuring every user entry is validated against your platform configuration.

Sync event schedules for LangChain agents

Feed `list_schedule` and `list_sessions` output into your agents to provide real-time updates on event timing. Your agent parses these lists to answer attendee questions or adjust resource allocation based on live session status. By chaining these tools, you build a system that understands the event timeline. It prevents data silos by making your event metadata available to every downstream component in your pipeline.

Centralize vendor and speaker data

Use `list_speakers` and `list_vendors` to populate your internal documentation or briefing materials automatically. LangChain agents iterate through these lists to extract key profiles and contact details for your event staff. This removes the need for manual data entry between your event portal and internal knowledge bases. It ensures your team always has the most current list of participants directly within their chat interface.

Setup guide

Set up Hopin (RingCentral Events) MCP in LangChain

Prerequisites

  • Python 3.10+ installed
  • langchain-mcp-adapters + langgraph packages
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 3

    Create a ReAct agent

    Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Hopin (RingCentral Events) tool calls through the MCP protocol.

  4. 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({
    "hopin-ringcentral-events-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 Hopin (RingCentral Events) transactions"
    })
    print(result["messages"][-1].content)

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

Install the necessary MCP adapters and configure the server URL in your client initialization. Once defined, pass the tools into your agent constructor to enable direct API communication.
Yes. The `create_registration` tool allows your agent to submit attendee information programmatically. It works as a standard function call within your existing LangChain chains.
It does. You can maintain state across tool calls by using the client session features, allowing your agents to remember previous event queries throughout the conversation.
Wrap your tool calls in standard try-catch blocks within your LangChain logic. The server returns descriptive errors if a request fails due to invalid parameters or API limits.
Yes. This MCP server operates in an ephemeral sandbox. It only touches attendee names and email addresses required for `create_registration` and does not store your authentication tokens.

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