Frame.io MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Frame.io through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Frame.io, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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.
The Vercel AI SDK gives every Frame.io tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the Frame.io MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 12 tools from Frame.io and passes them to the LLM
Why Use Vercel AI SDK with the Frame.io MCP Server
Vercel AI SDK provides unique advantages when paired with Frame.io through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Frame.io integration everywhere
Built-in streaming UI primitives let you display Frame.io tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Frame.io + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Frame.io MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Frame.io in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Frame.io tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Frame.io capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Frame.io through natural language queries
Frame.io MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Frame.io to Vercel AI SDK via MCP:
add_comment
Post a new comment
get_asset_details
Get asset metadata
get_my_profile
Get current user profile
get_project_details
Get project metadata
list_accounts
List billing accounts
list_asset_comments
List comments on an asset
list_assets
List assets or folder contents
list_collaborators
List project collaborators
list_folders
List folders in project
list_projects
List projects in a team
list_review_links
List project review links
list_teams
List Frame.io teams
Example Prompts for Frame.io in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Frame.io immediately.
"List all my projects in Frame.io team 'team_abc123'."
"Show me the last 5 comments on video asset 'vid_9876'."
"Add a comment to 'vid_9876': 'Great work, let\'s proceed to export' at 120 seconds."
Troubleshooting Frame.io MCP Server with Vercel AI SDK
Common issues when connecting Frame.io to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFrame.io + Vercel AI SDK FAQ
Common questions about integrating Frame.io MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Frame.io with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Frame.io to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.