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Livestorm 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 Livestorm 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({
        "livestorm": {
            "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 Livestorm, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Livestorm
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* 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 Livestorm MCP Server

Integrate Livestorm, the leading browser-based webinar and video events platform, directly into your AI workflow. Manage webinar schedules, track registrations, monitor attendee engagement, access real-time analytics, and send replay emails — all through conversational AI.

LangChain's ecosystem of 500+ components combines seamlessly with Livestorm 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 Management — List, create, and retrieve all your webinars with scheduling and status information
  • Registration Tracking — View all registrations for any webinar, create new attendee registrations, and verify individual registration details
  • Attendee Monitoring — List attendees who actually joined events, track attendance duration and engagement metrics
  • Analytics & Reporting — Access post-event analytics including registration counts, attendance rates, and replay views
  • Replay Distribution — Send replay email links to all attendees of completed events with one action
  • Room Management — List all webinar rooms in your Livestorm workspace for infrastructure planning

The Livestorm 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 Livestorm to LangChain via MCP

Follow these steps to integrate the Livestorm 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 Livestorm via MCP

Why Use LangChain with the Livestorm MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine Livestorm 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 Livestorm queries for multi-turn workflows

Livestorm + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Livestorm MCP Tools for LangChain (10)

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

01

create_event

Provide at minimum the event title. Optionally specify description, start/end times, and event type (live, replay, or on-demand). Create a new webinar or event in Livestorm

02

create_registration

Creates a new registration record for the specified webinar. The registration email must be unique for that webinar. Register a new attendee for a Livestorm webinar

03

get_event

Use list_events first to find the correct ID. Returns full event metadata including settings, registration page URL, and status. Retrieve detailed information for a specific Livestorm webinar or event

04

get_registration

Returns the full registration record for the specified attendee. Retrieve details for a specific registration of a Livestorm webinar

05

list_analytics

Returns registration counts, attendance rates, replay views, and engagement metrics. Useful for post-event reporting and ROI analysis. Retrieve analytics data for a specific Livestorm webinar

06

list_attendees

Returns only attendees who joined the event, not just registered attendees. Includes attendance duration and engagement data. Retrieve the list of attendees who actually attended a Livestorm webinar

07

list_events

Returns all events (live, replay, scheduled). Retrieve a list of all webinars and events in your Livestorm account

08

list_registrations

Returns attendee details including names, emails, and registration status. Useful for verifying attendance lists. Retrieve all registrations for a specific Livestorm webinar

09

list_webinar_rooms

Useful for understanding your Livestorm workspace structure. Retrieve a list of all rooms (webinar rooms) in your Livestorm workspace

10

send_replay

Sends the replay link to everyone who attended the specified event. Use after live events to share the recording with attendees. Send a replay email to all attendees of a completed Livestorm webinar

Example Prompts for Livestorm in LangChain

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

01

"Show me all upcoming webinars in my Livestorm account."

02

"How many people attended last week's webinar?"

03

"Create a new webinar called 'AI Trends 2026' for next month."

Troubleshooting Livestorm MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Livestorm + LangChain FAQ

Common questions about integrating Livestorm 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 Livestorm to LangChain

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