How to Use the Demio MCP in LangChain

Build multi-step reasoning chains that manage Demio webinars and track registrants directly through LangChain.

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Connect Demio MCP to LangChain

Create your Vinkius account to connect Demio 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 Demio with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain webinar data into agents

The Demio MCP Server feeds your LangChain agents direct access to your event schedules. You call `list_upcoming_webinars` to pull future dates, then feed those IDs right into `get_webinar_report` to compare attendance trends across past and future events. ReAct agents handle the logic routing. If a user asks for performance numbers on a specific topic, the agent uses `search_webinars_by_name` to find the exact match before pulling the metrics.

Automate signups with tool sequences

Your agent chains can register attendees without manual data entry. A custom pipeline takes an incoming lead from your CRM, checks available slots using `list_webinar_sessions`, and executes `register_user_for_webinar` in one continuous flow. LangSmith traces every step of this process. You see the exact payload sent to the API and the latency of the registration call, making debugging failed signups trivial.

Track limits across your MCP Server

Monitoring your video-conferencing usage requires knowing your account boundaries. Using `get_account_metadata`, your LangGraph setup can periodically check attendee limits and active host counts. This data becomes the input for alert chains. When approaching a cap, the system triggers a warning notification before you try to cram too many people into a scheduled room.

Setup guide

Set up Demio 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 Demio 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({
    "demio-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 Demio 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 Demio. 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 Demio MCP in LangChain

Install the langchain-mcp-adapters package. Initialize a MultiServerMCPClient pointing to your Vinkius endpoint. Run client.get_tools() and inject the list into your ReAct agent.

Yes. LangSmith automatically traces every tool invocation. You get full visibility into the execution time of get_webinar_report and the exact tokens consumed.

Write a sequential chain. Have your agent read user details from your vector store, then pass those exact variables into the register_user_for_webinar tool.

MCP Server connections are stateless by default. You need to use client.session() to keep context alive if your agent is doing complex multi-step webinar queries.

Processing attendee names and emails happens entirely within your configured V8 Isolate Sandbox. Vinkius drops the container the moment the connection closes. We never store your webinar lists.

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