Framer MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Framer 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 Framer, 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 Framer MCP Server
Connect Framer to your AI agent and manage your website CMS content and publishing workflow conversationally.
The Vercel AI SDK gives every Framer tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- CMS Collections — List, create, update, and manage CMS collection items directly from natural language commands.
- Content Sync — Push content updates from external data sources into your Framer CMS collections programmatically.
- Site Publishing — Trigger site publishes to push your latest CMS changes live.
- Collection Schema — Query collection structures and field definitions to understand your content model.
The Framer MCP Server exposes 8 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 Framer to Vercel AI SDK via MCP
Follow these steps to integrate the Framer 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 8 tools from Framer and passes them to the LLM
Why Use Vercel AI SDK with the Framer MCP Server
Vercel AI SDK provides unique advantages when paired with Framer 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 Framer integration everywhere
Built-in streaming UI primitives let you display Framer 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
Framer + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Framer MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Framer in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Framer tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Framer capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Framer through natural language queries
Framer MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Framer to Vercel AI SDK via MCP:
create_collection_item
Create a new CMS item
get_project
Get project details
get_site_info
Get site configuration
list_collection_items
List items in a CMS collection
list_collections
List CMS collections
list_pages
List all site pages
list_projects
List all Framer projects
publish_site
This makes changes visible to visitors. Publish the website
Example Prompts for Framer in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Framer immediately.
"List all CMS collections in my Framer site."
"Add a new team member 'Ana Silva' to the Team Members collection."
"Publish my Framer site with the latest CMS changes."
Troubleshooting Framer MCP Server with Vercel AI SDK
Common issues when connecting Framer to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFramer + Vercel AI SDK FAQ
Common questions about integrating Framer 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 Framer with your favorite client
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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 Framer to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.