Constructor 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 Constructor 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="constructor_agent",
instruction=(
"You help users interact with Constructor "
"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 Constructor MCP Server
Connect your Constructor.io account to any AI agent and take full control of your site search and product discovery workflows through natural conversation.
Google ADK natively supports Constructor 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
- AI-Powered Search — Execute ML-ranked product retrieval dynamically mapped to e-commerce signals and user intent
- Predictive Autocomplete — Access fast predictive typing boundaries and trace exact matched categories for any partial query
- Dynamic Recommendations — Surface personalized products using collaborative filtering models and custom recommendation pods
- Category & Brand Browsing — Navigate through product directory trees and manufacturer taxonomies without any query bias
- Advanced Filtering — Apply strict attribute filters (colors, sizes, features) and custom sort rules to refine product discovery results
- Collection Management — Retrieve curated marketing clusters and static collections accurately for promotional auditing
The Constructor 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 Constructor to Google ADK via MCP
Follow these steps to integrate the Constructor 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 Constructor via MCP
Why Use Google ADK with the Constructor MCP Server
Google ADK provides unique advantages when paired with Constructor 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 Constructor
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 Constructor tools with BigQuery, Vertex AI, and Cloud Functions
Constructor + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Constructor MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Constructor and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Constructor tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Constructor regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Constructor
Constructor MCP Tools for Google ADK (10)
These 10 tools become available when you connect Constructor to Google ADK via MCP:
autocomplete
Perform structural extraction of properties driving active Account logic
browse_brand
Inspect deep internal arrays mitigating specific Plan Math
browse_category
Provision a highly-available JSON Payload generating hard Customer bindings
browse_collection
Identify precise active arrays spanning native Gateway auth
custom_search
Identify precise active arrays spanning native Hold parsing
get_recommendations
Retrieve explicit Cloud logging tracing explicit Vault limits
search_filtered
]` bounding JSON structures restricting arrays to exact colors/sizes or features. Irreversibly vaporize explicit validations extracting rich Churn flags
search_pagination
Dispatch an automated validation check routing explicit Gateway history
search_products
Identify bounded CRM records inside the Headless Constructor.io Platform
search_sorted
Enumerate explicitly attached structured rules exporting active Billing
Example Prompts for Constructor in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Constructor immediately.
"Search for 'running shoes' in Constructor"
"What products are recommended in the 'home-page-trending' pod?"
"Browse the 'Outdoor Furniture' category"
Troubleshooting Constructor MCP Server with Google ADK
Common issues when connecting Constructor to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkConstructor + Google ADK FAQ
Common questions about integrating Constructor 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 Constructor 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.
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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 Constructor to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.