How to Use the Daily.co MCP in LangChain

Q: How do I connect the Daily.co MCP Server to my LangChain agent?

Install the langchain-mcp-adapters package. Initialize the client using MultiServerMCPClient pointing to the hosted endpoint, then pass the tools directly to your agent.

Connect your LangChain agents directly to Daily.co to spin up video rooms, dial phone numbers, and manage active calls.

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Connect Daily.co MCP to LangChain

Create your Vinkius account to connect Daily.co 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 Daily.co with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Spin up and configure WebRTC video rooms

The `create_room` tool lets your LangChain agent generate new video rooms instantly when a user requests a meeting. Your agent grabs the room configuration, runs it through a chain, and uses `create_meeting_token` to issue secure access passes for specific participants. By feeding these outputs directly into subsequent chain links, your pipeline schedules, secures, and prepares the video environment without manual intervention. LangSmith tracks every tool execution so you see exactly when a room goes live and who gets access.

LangChain agent handles live call moderation

The `eject_participants` tool gives your LangChain agent the authority to boot disruptive users from an active call. We monitor live session metrics to execute this command based on real-time triggers or user commands. You couple this with `update_permissions` to dynamically strip audio or video privileges from specific attendees mid-call. This restriction gets applied instantly after the agent processes the current session state.

Automate post-call processing chains

The `start_recording` tool initiates cloud recordings that your agent manages throughout the call lifecycle. Once the meeting ends, the agent calls `get_recording_access_link` to grab the raw S3 download URL. This URL feeds directly into your next chain link, which might run transcription or push the file to your storage bucket. You build a complete media pipeline where the agent handles the files from start to finish.

Setup guide

Set up Daily.co 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 Daily.co 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({
    "dailyco-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 Daily.co 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 Daily.co. 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 Daily.co MCP in LangChain

Install the `langchain-mcp-adapters` package. Initialize the client using `MultiServerMCPClient` pointing to the hosted endpoint, then pass the tools directly to your agent.

Yes. The MCP server handles the connection logic, allowing your agent to run tools like `list_rooms` and `get_room_presence` in parallel to monitor multiple active sessions.

LangSmith logs every single tool call, showing the exact parameters passed to tools like `create_room` or `start_recording`. You see the exact API errors and execution latency instantly.

No. While the MCP client is stateless by default, you can use `client.session()` to keep a persistent context across multiple steps in your agentic workflow.

This MCP setup uses a zero-trust, ephemeral sandbox to process your API requests. No meeting tokens or S3 recording links generated via `get_recording_access_link` are ever stored on Vinkius servers.

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