Livestorm MCP Server for LangChain 10 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
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.
The largest ecosystem of integrations, chains, and agents. combine Livestorm MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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.
RAG with live data: combine Livestorm tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Livestorm, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Livestorm tools with web scrapers, databases, and calculators in a single agent run
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:
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
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
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
get_registration
Returns the full registration record for the specified attendee. Retrieve details for a specific registration of a Livestorm webinar
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
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
list_events
Returns all events (live, replay, scheduled). Retrieve a list of all webinars and events in your Livestorm account
list_registrations
Returns attendee details including names, emails, and registration status. Useful for verifying attendance lists. Retrieve all registrations for a specific Livestorm webinar
list_webinar_rooms
Useful for understanding your Livestorm workspace structure. Retrieve a list of all rooms (webinar rooms) in your Livestorm workspace
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.
"Show me all upcoming webinars in my Livestorm account."
"How many people attended last week's webinar?"
"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.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersLivestorm + LangChain FAQ
Common questions about integrating Livestorm MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Livestorm with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Livestorm to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
