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Demio MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Demio through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "demio": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Demio, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Demio
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<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Demio MCP Server

Integrate Demio, the modern webinar platform built for marketing, directly into your AI workflow. Manage your upcoming and past webinars, track registration lists, monitor live and scheduled sessions, and register new users using natural language.

LangChain's ecosystem of 500+ components combines seamlessly with Demio through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

  • Webinar Oversight — List and retrieve detailed settings for all your webinars and check their current status.
  • Registrant Tracking — List and search through people who have registered for your webinar events.
  • Session Monitoring — Track scheduled sessions, access attendee lists, and monitor overall session progress.
  • User Registration — Register new users for specific webinar sessions directly via chat.

The Demio MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Demio to LangChain via MCP

Follow these steps to integrate the Demio MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 10 tools from Demio via MCP

Why Use LangChain with the Demio MCP Server

LangChain provides unique advantages when paired with Demio through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Demio MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Demio queries for multi-turn workflows

Demio + LangChain Use Cases

Practical scenarios where LangChain combined with the Demio MCP Server delivers measurable value.

01

RAG with live data: combine Demio tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Demio, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Demio tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Demio tool call, measure latency, and optimize your agent's performance

Demio MCP Tools for LangChain (10)

These 10 tools become available when you connect Demio to LangChain via MCP:

01

get_account_metadata

Retrieve metadata and limits for your Demio account

02

get_session_details

Get specific details for a webinar session, including attendees

03

get_webinar_details

Get detailed settings and information for a specific webinar

04

get_webinar_report

Retrieve performance metrics and attendance reports for a webinar

05

list_upcoming_webinars

Identify webinars scheduled for the future

06

list_webinar_events

List all upcoming and past webinars in your Demio account

07

list_webinar_registrants

List all people who have registered for a specific webinar

08

list_webinar_sessions

List all scheduled sessions for a specific webinar event

09

register_user_for_webinar

Register a new user for a specific webinar session

10

search_webinars_by_name

Search for a webinar using a name keyword

Example Prompts for Demio in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Demio immediately.

01

"List all my upcoming webinars."

02

"Who is registered for the 'Product Demo' webinar?"

03

"Show me the report for my last webinar session."

Troubleshooting Demio MCP Server with LangChain

Common issues when connecting Demio to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Demio + LangChain FAQ

Common questions about integrating Demio MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Demio to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.