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 Pydantic AI 10 tools — connect in under 2 minutes

Name: Vimeo
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Vimeo through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Vimeo "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Vimeo?"
    )
    print(result.data)

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.

Pydantic AI validates every Vimeo tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Vimeo MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Vimeo with type-safe schemas

Why Use Pydantic AI with the Vimeo MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Vimeo integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Vimeo connection logic from agent behavior for testable, maintainable code

Vimeo + Pydantic AI Use Cases

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

Type-safe data pipelines: query Vimeo with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Vimeo tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Vimeo and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Vimeo responses and write comprehensive agent tests

Vimeo MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Vimeo to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Vimeo + Pydantic AI FAQ

Common questions about integrating Vimeo MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Vimeo MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.