How do I get my Framer API key?

Open your Framer project in the editor. Go to **Site Settings** (gear icon in the top bar), then navigate to the **General** tab. Scroll down to find the **Server API** section and click **Generate API key**. Copy the key and store it securely — treat it like a password. This key is specific to this project. Paste it into the configuration field below.

Can I push content from a spreadsheet into my Framer CMS?

Yes. Your AI agent can create and update CMS collection items programmatically. Describe the data you want to add, and it maps your fields to the Framer collection schema and creates the items — perfect for bulk content migrations or data-driven landing pages.

Does publishing through the API affect my Framer design?

No. The Server API only manages CMS content — it cannot modify your visual design, canvas layout, or component structure. Your designers remain in full control of the visual experience while content teams operate independently through the AI agent.

Is this suitable for agencies managing multiple Framer projects?

Yes. Each API key is bound to a specific Framer project. Configure separate integrations for each client project and your AI agent can switch between them — managing content across your entire portfolio without opening multiple browser tabs.

Framer MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes

Name: Framer
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 8 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Framer through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Framer Assistant",
            instructions=(
                "You help users interact with Framer. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Framer"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

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 Framer MCP Server

Connect Framer to your AI agent and manage your website CMS content and publishing workflow conversationally.

The OpenAI Agents SDK auto-discovers all 8 tools from Framer through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Framer, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Framer MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 8 tools from Framer

Why Use OpenAI Agents SDK with the Framer MCP Server

OpenAI Agents SDK provides unique advantages when paired with Framer through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Framer + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Framer MCP Server delivers measurable value.

Automated workflows: build agents that query Framer, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Framer, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Framer tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Framer to resolve tickets, look up records, and update statuses without human intervention

Framer MCP Tools for OpenAI Agents SDK (8)

These 8 tools become available when you connect Framer to OpenAI Agents 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

Common issues when connecting Framer to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Framer + OpenAI Agents SDK FAQ

Common questions about integrating Framer MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.