Bridge Data Output MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Bridge Data Output through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Bridge Data Output Assistant",
instructions=(
"You help users interact with Bridge Data Output. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Bridge Data Output"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 10 tools from Bridge Data Output through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Bridge Data Output, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Bridge Data Output MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Bridge Data Output
Why Use OpenAI Agents SDK with the Bridge Data Output MCP Server
OpenAI Agents SDK provides unique advantages when paired with Bridge Data Output through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Bridge Data Output + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Bridge Data Output MCP Server delivers measurable value.
Automated workflows: build agents that query Bridge Data Output, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Bridge Data Output, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Bridge Data Output tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Bridge Data Output to resolve tickets, look up records, and update statuses without human intervention
Bridge Data Output MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Bridge Data Output to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Bridge Data Output to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Bridge Data Output + OpenAI Agents SDK FAQ
Common questions about integrating Bridge Data Output MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
