Framer MCP Server for Mastra AI 8 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Framer through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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: {
"framer": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Framer Agent",
instructions:
"You help users interact with Framer " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Framer?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Framer tool infrastructure. Connect 8 tools through 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.
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 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 Framer to Mastra AI via MCP
Follow these steps to integrate the Framer MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 8 tools from Framer via MCP
Why Use Mastra AI with the Framer MCP Server
Mastra AI provides unique advantages when paired with Framer through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Framer without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Framer tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Framer + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Framer MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Framer, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Framer as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Framer on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Framer tools alongside other MCP servers
Framer MCP Tools for Mastra AI (8)
These 8 tools become available when you connect Framer to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Framer to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpFramer + Mastra AI FAQ
Common questions about integrating Framer MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Framer with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Framer to Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
