Bridge Data Output 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 Bridge Data Output 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="bridge_data_output_agent",
instruction=(
"You help users interact with Bridge Data Output "
"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 Bridge Data Output MCP Server
Connect your Bridge Interactive (Zillow Group) account to any AI agent and orchestrate your real estate research, listing analysis, and market data workflows through natural conversation.
Google ADK natively supports Bridge Data Output 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
- Listing Oversight — Browse thousands of real estate listings (properties) from various MLS datasets with advanced OData filtering.
- Property Deep Dives — Retrieve detailed metadata for specific properties, including physical characteristics and historical values.
- Directory Access — List real estate members (agents) and offices associated with specific datasets.
- Media Management — Access links to high-resolution photos, virtual tours, and media associated with property listings.
- Market Analysis — Search for properties by city, price range, or recent modifications to track market trends.
- Dataset Discovery — List all available data systems (MLSs) your application has access to.
The Bridge Data Output 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 Bridge Data Output to Google ADK via MCP
Follow these steps to integrate the Bridge Data Output 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 Bridge Data Output via MCP
Why Use Google ADK with the Bridge Data Output MCP Server
Google ADK provides unique advantages when paired with Bridge Data Output 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 Bridge Data Output
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 Bridge Data Output tools with BigQuery, Vertex AI, and Cloud Functions
Bridge Data Output + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Bridge Data Output MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Bridge Data Output and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Bridge Data Output tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Bridge Data Output regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Bridge Data Output
Bridge Data Output MCP Tools for Google ADK (10)
These 10 tools become available when you connect Bridge Data Output to Google ADK via MCP:
get_dataset_metadata
Get schema metadata for a specific dataset
get_property
Get details of a specific property
list_data_systems
List all available real estate data systems (MLSs)
list_media
List media (photos/videos) from a dataset
list_members
List real estate agents (members) from a dataset
list_offices
List real estate offices from a dataset
list_properties
List properties from a specific dataset
list_recent_listings
List the most recently modified properties
search_properties_by_city
Search for properties in a specific city
search_properties_by_price
Search for properties above a specific price
Example Prompts for Bridge Data Output in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Bridge Data Output immediately.
"List all real estate data systems I can access."
"Search for properties in Miami with a price over $1,000,000."
"Get details for property listing key 12345-6789."
Troubleshooting Bridge Data Output MCP Server with Google ADK
Common issues when connecting Bridge Data Output to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkBridge Data Output + Google ADK FAQ
Common questions about integrating Bridge Data Output 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 Bridge Data Output with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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Anthropic's agentic CLI for terminal-first development.
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 Bridge Data Output to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
