How to Use the Vimeo MCP in LangChain

Q: If I need video details from Vimeo using LangChain, what's the process?

You first identify the asset ID (maybe via searchvideos), and then pass that specific ID into getvideo. The agent manages this two-step call to pull all necessary metadata.

Q: Does LangChain help manage Vimeo videos? What about deletions?

Yes. You can execute the deletevideo tool, but the power is in chaining it—you might first list all videos and then have the agent confirm which ones should be deleted before calling the final function.

Q: What data types are touched by the Vimeo MCP Server when used with LangChain?

The server handles video metadata, user information (from getme), and structural identifiers like folder IDs and showcase IDs. This is all treated as inputs/outputs within your chain.

Build complex, multi-step video audit chains with LangChain.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Vimeo MCP to LangChain

Create your Vinkius account to connect Vimeo 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.

GDPR Free for Subscribers

Setup Vimeo with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chaining Video Retrieval Operations

You can chain together multiple calls to get a full picture of your content library. First, call `list_videos` to pull a list of IDs; then, pass those IDs into `get_video` for deep metadata retrieval. This allows the agent to perform complex filtering—for instance, pulling all video details only for videos housed in specific folders listed via `list_folders`. The output of one step feeds directly into the next.

Search and Update Video Metadata

Need to find a public video and then change something about it? Run `search_videos` first. Once you get the correct ID, use that result in the `update_video` tool. The agent handles this sequence automatically: search for the asset, confirm its existence, and then apply the required metadata changes based on your prompt's intent.

Full Account Resource Audit

The MCP Server lets you audit every corner of your account. You can start by running `get_me` to confirm user scope, and then systematically call tools like `list_groups` or `list_showcases`. The agent builds a complete map of your resources. This is crucial for an initial security review, letting you see everything from followed groups down to individual showcase albums.

Setup guide

Set up Vimeo 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 Vimeo 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({
    "vimeo-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 Vimeo transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Vimeo. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Vimeo now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Vimeo MCP in LangChain

You build reasoning pipelines. The agent decides which tool to call and in what order—for example, checking `list_folders` before trying to access a specific video ID. This gives you full control over complex workflows.

It exposes metadata and structural data related to your content, including folder names, group lists, and individual videos. The agent can use this data to build a comprehensive audit trail.

You first identify the asset ID (maybe via `search_videos`), and then pass that specific ID into `get_video`. The agent manages this two-step call to pull all necessary metadata.

Yes. You can execute the `delete_video` tool, but the power is in chaining it—you might first list all videos and then have the agent confirm which ones should be deleted before calling the final function.

The server handles video metadata, user information (from `get_me`), and structural identifiers like folder IDs and showcase IDs. This is all treated as inputs/outputs within your chain.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript