Bring Video Review
to CrewAI
Create your Vinkius account to connect Frame.io to CrewAI and start using all 12 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
Compatible with every major AI agent and IDE
What is the Frame.io MCP Server?
Connect your Frame.io account to any AI agent to automate your video collaboration and creative workflows through the Model Context Protocol (MCP). Frame.io is the industry-leading platform for reviewing and approving media, allowing teams to stay in sync from anywhere in the world. This MCP server enables you to manage your projects, retrieve asset metadata, and participate in time-coded discussions directly through natural conversation.
Key Features
- Project Oversight — List all projects within your teams and fetch detailed metadata including ownership and status.
- Asset Management — List files and folders within projects and retrieve complete metadata for specific media assets.
- Collaborative Feedback — List all comments on an asset and add new time-coded feedback directly from your chat interface.
- Review Coordination — Access and list review links to monitor how your media is being shared with external stakeholders.
- Team Interaction — List team members and collaborators to maintain full context of who is involved in each project.
- Directory Structure — Navigate through folders and sub-folders within your project library to organize your work effectively.
- Real-time Monitoring — Fetch specific asset details or comments to keep your post-production workflow moving fast.
How it works
- Subscribe to this server through the Vinkius Marketplace
- Enter your Frame.io Personal Access Token (found in the Developer Portal)
- Start managing your video collaboration from Claude, Cursor, or any MCP client
Who is this for?
- Video Editors & Producers — quickly check for new comments or update project statuses without leaving your primary agent.
- Creative Directors — get a real-time overview of review links and project progress across multiple teams.
- Post-Production Managers — automate the retrieval of asset metadata and feedback threads for audit and reporting.
Built-in capabilities (12)
Post a new comment
Get asset metadata
Get current user profile
Get project metadata
List billing accounts
List comments on an asset
List assets or folder contents
List project collaborators
List folders in project
List projects in a team
List project review links
List Frame.io teams
Why CrewAI?
When paired with CrewAI, Frame.io becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Frame.io tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
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 Vinkius Edge URL directly in the
mcpsparameter 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
Frame.io in CrewAI
Why run Frame.io with Vinkius?
The Frame.io connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 12 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.




Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Frame.io using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Frame.io and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Frame.io to CrewAI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Frame.io for CrewAI
Every request between CrewAI and Frame.io is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How do I get an Access Token for Frame.io?
You can generate a Personal Access Token in the Frame.io Developer Portal at https://developer.frame.io.
Can I add comments with a specific timecode using the agent?
Yes! The 'add_comment' tool accepts an optional 'timestamp' parameter in seconds, allowing you to pin your feedback to a specific moment in the video.
How do I see the assets inside a specific folder?
Use the 'list_assets' tool and provide the Folder ID as the 'parentId'. The agent will return all files and sub-folders contained within that directory.
Is it possible to list external review links?
Yes! Use the 'list_review_links' tool and provide the Project ID. The agent will retrieve all active shared links for that project.
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.
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
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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