How to Use the ButterCMS MCP in AutoGen
Let AutoGen agents debate your ButterCMS content strategy, audit layouts, and search blog posts via MCP.
Works with every AI agent you already use
…and any MCP-compatible client
Connect ButterCMS MCP to AutoGen
Create your Vinkius account to connect ButterCMS 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.
Debating content taxonomy with AutoGen agents
Set up a multi-agent conversation where a writer agent and an SEO agent debate your tagging strategy. They use `list_butter_tags` and `list_butter_categories` to analyze your current ButterCMS classification system. The agents collaborate to find gaps. One agent pulls active keywords using `search_blog_posts`, while the other cross-references them against your categories to suggest new editorial directions.
Audit ButterCMS page layouts with this MCP Server
Deploy a layout auditor agent that calls `get_page_layout` and `list_custom_pages`. The agent inspects the structural arrays to ensure your active pages match your design system guidelines. If a layout looks broken, the agent flags the specific page slug. This automated peer-review process runs entirely within AutoGen, using the MCP Server to query your live CMS configurations.
Multi-agent consensus on global collections
Use `list_global_collections` to let your AutoGen agents evaluate your shared data structures. A database agent and a frontend agent can debate whether your collection schemas are optimized for API delivery. By calling `search_collection_field`, the agents inspect individual records to verify data integrity. They only output a final recommendation once both agents agree the CMS schema is clean.
Set up ButterCMS 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes ButterCMS tools and returns structured results.
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="ButterCMS_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent ButterCMS data")
print(result.messages[-1].content) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="ButterCMS_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent ButterCMS data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ButterCMS. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about ButterCMS MCP in AutoGen
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the ButterCMS MCP today
We host it, we monitor it, we maintain it. You just paste one token.