How to Use the ButterCMS MCP in Google ADK

Q: How do I load the ButterCMS tools into a Google ADK agent?

Install google-adk and create an McpToolset pointing to your Vinkius HTTP URL. Pass this toolset into the tools parameter of your LlmAgent to let Gemini auto-discover the endpoints.

Q: Can Google ADK filter which ButterCMS tools my agent can access?

Yes. You can use the optional toolnames filter in your McpToolset configuration. This lets you limit the agent to read-only tools like listblogposts while blocking taxonomy tools.

Q: How does Gemini use ButterCMS data inside the Google ADK?

The agent calls tools like getpostdetails to pull raw blog content. Because Gemini has a huge context window, it can ingest dozens of posts at once to write summaries or find thematic links.

Connect the Google ADK to your ButterCMS MCP Server. Use Gemini's long context to analyze and query your entire headless CMS.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect ButterCMS MCP to Google ADK

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

GDPR Free for Subscribers

Setup ButterCMS with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Map ButterCMS Layouts with Google ADK and Gemini

Gemini's massive context window is useless without structured data to feed it. This MCP Server lets your Google ADK agent call `get_page_layout` and `list_custom_pages` to ingest your entire site architecture in one shot. It reads your custom page configurations and maps them to your active routing rules. Because the Google ADK integrates natively with Vertex AI, you can run deep analysis on your layouts. The agent matches your front-end components against your BigQuery analytics to find out which pages perform best. No manual exports required.

Search and Filter Blog Collections

Stop writing custom SQL queries to join blog posts with categories. Your agent uses `search_blog_posts` and `list_butter_categories` to find related content instantly. It queries your active keywords and returns exact matches from your ButterCMS database. The ADK allows you to restrict tools using the `tool_names` filter. If you only want your agent to read content without mutating tags, just expose `list_blog_posts` and `get_post_details`. This keeps your editorial pipeline completely safe from accidental changes.

Sync Global Collections and Authors

Keeping track of guest writers and shared content blocks is a pain. The agent runs `list_butter_authors` and `list_global_collections` to pull active CMS writers and global content rules. It maps these structures directly to your marketing databases in Google Cloud. The agent processes these lists to find gaps in your content schedule. It cross-references author bios with taxonomy hits from `list_butter_tags` to suggest new topics that align with your SEO strategy.

Setup guide

Set up ButterCMS MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with ButterCMS tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="ButterCMS_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ButterCMS tools via MCP.",
    tools=mcp_tools,
)

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 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.

Connect ButterCMS now

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 Google ADK

Install `google-adk` and create an `McpToolset` pointing to your Vinkius HTTP URL. Pass this toolset into the `tools` parameter of your `LlmAgent` to let Gemini auto-discover the endpoints.

Yes. You can use the optional `tool_names` filter in your `McpToolset` configuration. This lets you limit the agent to read-only tools like `list_blog_posts` while blocking taxonomy tools.

The agent calls tools like `get_post_details` to pull raw blog content. Because Gemini has a huge context window, it can ingest dozens of posts at once to write summaries or find thematic links.

Yes, the Google ADK toolset handles both. For Vinkius, you will use the streamable HTTP transport to connect your agent to the live ButterCMS API.

Your ButterCMS API credentials stay encrypted inside Vinkius's ephemeral sandbox. The Google ADK only handles the resulting blog posts, author profiles, and page layouts. All data in transit is encrypted, and no content is cached outside your Google Cloud environment.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript