How to Use the Dailymotion Extended MCP in LangChain

Q: How do I connect the Dailymotion Extended MCP Server to LangChain?

Run pip install langchain-mcp-adapters langgraph. Then initialize a MultiServerMCPClient pointing to your Vinkius endpoint and pass the tools to your ReAct agent.

Q: Can LangChain and the Dailymotion Extended MCP Server handle private partner uploads?

Yes. Your agent can call getpartneruploadurl to request secure endpoints. You just need to ensure your private API token is configured in your environment.

Build multi-step video publishing pipelines using Dailymotion Extended and LangChain.

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Connect Dailymotion Extended MCP to LangChain

Create your Vinkius account to connect Dailymotion Extended 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 Dailymotion Extended with LangChain

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Automate uploads with LangChain MCP Server

This integration connects your Dailymotion account directly to ReAct agents. You can chain the `get_upload_url` tool with local file processing scripts to push raw media files straight into your pipeline. The agent handles the upload logic while you track every token and API call through LangSmith. Once the file hits the servers, the next link in your chain kicks in. Your agent automatically calls `create_video` to publish the asset, then triggers `edit_video` to apply metadata based on previous chain outputs. You build the reasoning loop, and the agent executes the sequence perfectly every time.

Spin up bespoke players

Generating custom playback environments usually requires manual dashboard clicking. Now your LangChain agent can fire off `create_player` to instantiate new players dynamically based on user context. Need a specific UI layout for a marketing campaign? The agent reads the requirements and builds the player. You can tie this directly into content distribution pipelines. After the player exists, the agent pulls the playback endpoints using `get_video_stream`. It then hands those URLs off to your downstream database or CMS tools within the same execution chain.

Query analytics in real time

Pulling performance data shouldn't mean leaving your agent workspace. The `reporting_graphql` tool exposes the full Dailymotion reporting API to your LangChain setup. You ask for viewer retention stats, and the agent constructs the exact GraphQL query needed to fetch that specific metric. Those raw numbers then feed straight into your analysis chains. Your agent can combine the output from `list_videos` with the GraphQL results to generate detailed performance summaries. No manual CSV exports required.

Setup guide

Set up Dailymotion Extended 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 Dailymotion Extended 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({
    "dailymotion-extended-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 Dailymotion Extended 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 Dailymotion. 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 Dailymotion Extended MCP in LangChain

Run `pip install langchain-mcp-adapters langgraph`. Then initialize a `MultiServerMCPClient` pointing to your Vinkius endpoint and pass the tools to your ReAct agent.

Yes. Your agent can call `get_partner_upload_url` to request secure endpoints. You just need to ensure your private API token is configured in your environment.

It records every interaction via LangSmith. You will see the exact inputs your agent sent to `edit_video` and the latency of the API response.

The agent catches the error and can retry or alert you. You define the fallback logic in your graph structure.

Vinkius routes your requests through a zero-trust V8 Isolate sandbox. The server reads video titles, viewer metrics, and upload URLs ephemerally. Nothing gets stored after your agent closes the session.

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