Whereby MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Whereby 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({
"whereby": {
"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 Whereby, 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 Whereby MCP Server
Connect your Whereby account to any AI agent and manage your video communication infrastructure through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Whereby 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
- Meeting Creation — Instantly provision new transient video meeting rooms with specific expiration dates and room modes (normal or group)
- Meeting Insights — Retrieve full details for any meeting, including the exact join URL and real-time status
- UI Customization — Update and manage visual room themes, including custom colors and branding, to match your application's look and feel
- Recording Management — List all cloud recordings stored in your account and retrieve direct MP4 download links and metadata
- Active Sessions — Monitor currently active or pending meeting rooms and retrieve their unique UUIDs for automated workflows
- Data Integrity — Safely delete obsolete meeting rooms or cloud recordings to manage your quotas and storage efficiently
- Room Controls — Configure room security by setting rooms to 'locked' mode, requiring host approval for new participants
The Whereby 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 Whereby to LangChain via MCP
Follow these steps to integrate the Whereby 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 Whereby via MCP
Why Use LangChain with the Whereby MCP Server
LangChain provides unique advantages when paired with Whereby through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Whereby 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 Whereby queries for multi-turn workflows
Whereby + LangChain Use Cases
Practical scenarios where LangChain combined with the Whereby MCP Server delivers measurable value.
RAG with live data: combine Whereby tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Whereby, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Whereby tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Whereby tool call, measure latency, and optimize your agent's performance
Whereby MCP Tools for LangChain (10)
These 10 tools become available when you connect Whereby to LangChain via MCP:
create_meeting_room
Provide an ISO 8601 end date and room mode (normal or group). Creates a new transient video meeting room with a specific end date
delete_cloud_recording
This action is irreversible. Permanently deletes a cloud recording file
delete_meeting_room
This action is irreversible. Immediately deletes a video meeting room and terminates any active session
get_meeting_details
Retrieves details for a specific video meeting, including its join URL and expiration date
get_recording_details
Retrieves download links and metadata for a specific cloud recording
get_room_theme
Retrieves the visual theme settings (colors, logo) for a specific room name
list_active_meetings
Lists all currently active or pending video meeting rooms created via the API
list_cloud_recordings
Lists all cloud recordings stored in the Whereby account
reset_room_theme
Resets a meeting room theme back to the default Whereby branding
update_room_theme
Provide the room name and a hex color code. Updates the primary branding color for a specific meeting room
Example Prompts for Whereby in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Whereby immediately.
"Create a new 'group' meeting room that expires in 2 hours."
"List all my past cloud recordings."
"Update the 'Support-101' room theme to use hex color #00ff00."
Troubleshooting Whereby MCP Server with LangChain
Common issues when connecting Whereby to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersWhereby + LangChain FAQ
Common questions about integrating Whereby 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 Whereby 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 Whereby to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
