Can my AI read the strict structure of a custom model before creating a block?

Yes! We highly recommend asking your agent to use `get_model_schema` first. By retrieving the exact JSON fields (Strings, Lists, Booleans), the AI naturally learns the shape of your `Page` or `HeroContent` model and formats its `create_visual_block` mutation flawlessly avoiding validation errors.

How can I count how many blogs or pages are in my Builder space?

You can use the native `count_model_entities` tool. By querying a model like `blog-post`, the agent accesses the Builder backend with `limit=1` exclusively to extract the metadata counts without downloading heavyweight content arrays—highly efficient for broad analytics.

Can the agent wipe an accidentally created page completely?

Yes. If an error occurs or a staging draft needs removal, the agent can call `wipe_visual_block`. Supply the targeted entity ID, and the HTTP DELETE command is irreversibly broadcasted to the Builder environment. Always review IDs manually.

Builder MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Builder
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Builder as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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

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="builder_agent",
    instruction=(
        "You help users interact with Builder "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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 Builder MCP Server

Connect your Builder.io space to any AI agent and take full programmatic control over your headless CMS architecture and visual pages through natural conversation.

Google ADK natively supports Builder 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

Content Automation — Create, update, or wipe specific content entries across any data model dynamically
Schema Navigation — List your active Builder models and analyze exact field definitions and strict JSON bounds
Search & Retrieval — Use query strings to pull matched content documents or count entities effortlessly
Media Fetching — Inspect metadata and URLs of uploaded assets living on the Builder platform
Headless Maintenance — Delete deprecated components or page sections instantly using targeted endpoints

The Builder 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 Builder to Google ADK via MCP

Follow these steps to integrate the Builder 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 Builder via MCP

Why Use Google ADK with the Builder MCP Server

Google ADK provides unique advantages when paired with Builder 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 Builder

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 Builder tools with BigQuery, Vertex AI, and Cloud Functions

Builder + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Builder MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Builder and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Builder tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Builder regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Builder

Builder MCP Tools for Google ADK (10)

These 10 tools become available when you connect Builder to Google ADK via MCP:

count_model_entities

Quickly count the number of live items stored within a specific model

create_visual_block

Create new content entries or visual blocks inside a Builder model

get_media_file

Retrieve details about an uploaded media asset within Builder.io

get_model_schema

Get the exact field structure and schema definitions for a single model

get_single_content

g. `query.data.title=Home`). Retrieve a specific content document by query matching from Builder.io

list_builder_models

List all defined data models and schemas in the Builder space

list_model_content

Useful for fetching dynamic content blocks or pages. Retrieve a list of content entries for a specific Builder.io model

search_active_models

Find Builder models matching a specific criteria or substring

update_visual_block

Update an existing Builder.io content block or document

wipe_visual_block

Permanently delete a specific content entry from Builder.io

Example Prompts for Builder in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Builder immediately.

"List all active Builder models in my workspace."

"Fetch the schema for the 'custom-hero' model."

"Find a page with the title "Home" on the 'page' model."

Troubleshooting Builder MCP Server with Google ADK

Common issues when connecting Builder to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Builder + Google ADK FAQ

Common questions about integrating Builder MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.