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 CrewAI 10 tools — connect in under 2 minutes

Name: Vimeo
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Vimeo through the Vinkius — pass the Edge URL in the `mcps` parameter and every Vimeo tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Vimeo Specialist",
    goal="Help users interact with Vimeo effectively",
    backstory=(
        "You are an expert at leveraging Vimeo tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Vimeo "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Vimeo becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Vimeo tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Vimeo MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 10 tools from Vimeo

Why Use CrewAI with the Vimeo MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Vimeo through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Vimeo + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Vimeo for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Vimeo, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Vimeo tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Vimeo against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Vimeo MCP Tools for CrewAI (10)

These 10 tools become available when you connect Vimeo to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Vimeo + CrewAI FAQ

Common questions about integrating Vimeo MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.