How to Use the Framer MCP in AutoGen

Q: How do AutoGen agents negotiate Framer CMS changes?

They share tool outputs like listcollectionitems in their conversation history. One agent proposes a change, and another validates it.

Coordinate multiple agents in AutoGen to manage your Framer sites through a debate-driven publishing workflow.

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Connect Framer MCP to AutoGen

Create your Vinkius account to connect Framer to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Framer with AutoGen

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Multi-agent CMS management

Assign one agent to audit CMS content and another to push updates. They use `list_collections` to align on the current state. They debate changes before executing `create_collection_item`. This ensures your site updates are vetted by multiple logic layers.

Collaborative site publishing

Let a security agent check your draft before a publication agent triggers `publish_site`. This gatekeeping prevents accidental site updates. It adds a layer of human-like caution to your automated tasks. You define the rules, and the agents enforce them.

Project discovery for teams

Agents query `list_projects` to find the right environment for their task. They negotiate which project to modify based on current status. This prevents cross-site errors. Your agents operate with full visibility into your account's project portfolio.

Setup guide

Set up Framer MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Framer tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Framer_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Framer data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Framer_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Framer data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Framer. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Framer MCP in AutoGen

They share tool outputs like `list_collection_items` in their conversation history. One agent proposes a change, and another validates it.

You can. Once your agents reach consensus, the designated agent calls the `publish_site` tool to push the changes live.

It is. The MCP server provides a consistent interface for all agents. They treat the site as a shared state machine.

Credentials are kept in secure environment variables. Agents only receive the interface to call tools, not your raw API keys.

We enforce strict read-only access for auditing agents. Only the authorized agent can call write-heavy tools like site publication.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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