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Vinkius

Frame.io MCP Server for Mastra AI 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Frame.io through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token — get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "frameio": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Frame.io Agent",
    instructions:
      "You help users interact with Frame.io " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Frame.io?"
  );
  console.log(result.text);
}

main();
Frame.io
Fully ManagedVinkius Servers
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High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Frame.io tool infrastructure. Connect 12 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.

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.

The Frame.io MCP Server exposes 12 tools through the Vinkius. Connect it to Mastra 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 Frame.io to Mastra AI via MCP

Follow these steps to integrate the Frame.io MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 12 tools from Frame.io via MCP

Why Use Mastra AI with the Frame.io MCP Server

Mastra AI provides unique advantages when paired with Frame.io through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Frame.io without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Frame.io tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure

Frame.io + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Frame.io MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Frame.io, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Frame.io as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Frame.io on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Frame.io tools alongside other MCP servers

Frame.io MCP Tools for Mastra AI (12)

These 12 tools become available when you connect Frame.io to Mastra AI via MCP:

01

add_comment

Post a new comment

02

get_asset_details

Get asset metadata

03

get_my_profile

Get current user profile

04

get_project_details

Get project metadata

05

list_accounts

List billing accounts

06

list_asset_comments

List comments on an asset

07

list_assets

List assets or folder contents

08

list_collaborators

List project collaborators

09

list_folders

List folders in project

10

list_projects

List projects in a team

11

list_review_links

List project review links

12

list_teams

List Frame.io teams

Example Prompts for Frame.io in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Frame.io immediately.

01

"List all my projects in Frame.io team 'team_abc123'."

02

"Show me the last 5 comments on video asset 'vid_9876'."

03

"Add a comment to 'vid_9876': 'Great work, let\'s proceed to export' at 120 seconds."

Troubleshooting Frame.io MCP Server with Mastra AI

Common issues when connecting Frame.io to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Frame.io + Mastra AI FAQ

Common questions about integrating Frame.io MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Frame.io to Mastra AI

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.