ButterCMS MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add ButterCMS as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="buttercms_agent",
instruction=(
"You help users interact with ButterCMS "
"using 10 available tools."
),
tools=[mcp_tools],
)
* 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 ButterCMS MCP Server
Connect your ButterCMS publishing instance to any AI agent and extract rich text data, marketing pages, and content taxonomy through natural conversation.
Google ADK natively supports ButterCMS as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- Blog Posts Intelligence — Read precise articles via slug, list large arrays, or search full-text indexes to gather knowledge from your blog
- Taxonomy Extractor — Dig deep into your configured internal Tags, Authors, and Categories without opening the standard browser console
- Custom Pages & Collections — Enumerate explicit structured JSON objects tracking raw page models spanning multiple website layers effortlessly
The ButterCMS MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK 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 ButterCMS to Google ADK via MCP
Follow these steps to integrate the ButterCMS MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 10 tools from ButterCMS via MCP
Why Use Google ADK with the ButterCMS MCP Server
Google ADK provides unique advantages when paired with ButterCMS through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with ButterCMS
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine ButterCMS tools with BigQuery, Vertex AI, and Cloud Functions
ButterCMS + Google ADK Use Cases
Practical scenarios where Google ADK combined with the ButterCMS MCP Server delivers measurable value.
Enterprise data agents: ADK agents query ButterCMS and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine ButterCMS tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query ButterCMS regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including ButterCMS
ButterCMS MCP Tools for Google ADK (10)
These 10 tools become available when you connect ButterCMS to Google ADK via MCP:
get_page_layout
Retrieve the exact structural matching verifying explicit UI routing
get_post_details
Retrieve explicit Cloud logging tracing explicit Post Slugs
list_blog_posts
Identify bounded routing spaces inside the Headless ButterCMS Post limit
list_butter_authors
Dispatch an automated validation check routing CMS Writers
list_butter_categories
Irreversibly analyze explicit CMS structures routing groupings
list_butter_tags
Mutate global Web CRM boundaries mapping Taxonomy hits
list_custom_pages
Inspect deep internal arrays mitigating specific Page configurations
list_global_collections
Enumerate explicitly attached structured rules exporting Content items
search_blog_posts
Perform structural extraction of properties driving active Keywords
search_collection_field
Identify precise active arrays spanning filtered Collections
Example Prompts for ButterCMS in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with ButterCMS immediately.
"List all our globally defined CMS categories and tell me what the main topic is."
"Can you fetch the specific details for the article slug 'intro-to-ai-agents'?"
"Perform a deep search natively for all posts containing 'startup scale'."
Troubleshooting ButterCMS MCP Server with Google ADK
Common issues when connecting ButterCMS to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkButterCMS + Google ADK FAQ
Common questions about integrating ButterCMS MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect ButterCMS with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 ButterCMS to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
