How do I find my Vimeo Access Token?

Create a new app in the [**Vimeo Developer portal**](https://developer.vimeo.com/apps), generate a token with the necessary scopes (public, private, edit, delete), and paste it below.

Can the agent list private videos?

Yes. If your Access Token has the correct scopes, your agent will be able to retrieve both public and private videos from your account.

Is it possible to manage folders via the agent?

Yes. Use the `list_folders` tool to retrieve all project directories, allowing your agent to audit your content library's structure in real-time.

Vimeo MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Vimeo
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Vimeo through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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({
        "vimeo": {
            "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 Vimeo, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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 Vimeo MCP Server

Empower your AI agent to orchestrate your entire video ecosystem on Vimeo, the world's most innovative video platform. By connecting Vimeo to your agent, you transform complex asset management into a natural conversation. Your agent can instantly list your videos, audit project folders, and retrieve performance stats without you ever touching a dashboard. Whether you are a professional filmmaker or a corporate communications lead, your agent acts as a real-time video operator, ensuring your content is always organized and accessible.

LangChain's ecosystem of 500+ components combines seamlessly with Vimeo through native MCP adapters. Connect 10 tools via the 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

Video Auditing — List all videos in your account and retrieve detailed metadata, including duration, plays, and privacy settings.
Folder Oversight — Browse your project folders to maintain a clear view of your content organization.
Showcase Management — List all showcases (albums) and channels to monitor your public video distribution.
Video Governance — Update video titles, descriptions, and autonomously delete items when they are no longer needed.
Search Intelligence — Query public videos across Vimeo to find inspiration or relevant community content.

The Vimeo 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 Vimeo to LangChain via MCP

Follow these steps to integrate the Vimeo 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 Vimeo via MCP

Why Use LangChain with the Vimeo MCP Server

LangChain provides unique advantages when paired with Vimeo through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents — combine Vimeo 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 Vimeo queries for multi-turn workflows

Vimeo + LangChain Use Cases

Practical scenarios where LangChain combined with the Vimeo MCP Server delivers measurable value.

RAG with live data: combine Vimeo tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Vimeo, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Vimeo tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Vimeo tool call, measure latency, and optimize your agent's performance

Vimeo MCP Tools for LangChain (10)

These 10 tools become available when you connect Vimeo to LangChain via MCP:

delete_video

Delete a video from Vimeo

get_me

Get authenticated user info from Vimeo

get_video

Get details for a specific video

list_channels

List channels followed by a user

list_folders

List folders (projects) for a user

list_groups

List groups followed by a user

list_showcases

List showcases (albums) for a user

list_videos

List videos for a user

search_videos

Search for public videos on Vimeo

update_video

Update video metadata

Example Prompts for Vimeo in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Vimeo immediately.

"List my last 5 videos in Vimeo."

"Show me my Vimeo project folders."

"Search for public videos about 'Artificial Intelligence'."

Troubleshooting Vimeo MCP Server with LangChain

Common issues when connecting Vimeo to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Vimeo + LangChain FAQ

Common questions about integrating Vimeo MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use 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?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.