Can I filter listings by a specific price range?

Yes! Use the `search_properties_by_price` tool and provide the minimum price. You can also use the `list_properties` tool with a custom OData `$filter` for more complex criteria.

How do I see which MLS datasets I have access to?

Simply ask the agent to `list_data_systems`. It will return a list of all data sources currently enabled for your server token.

Does the integration provide access to property photos?

Yes. Use the `list_media` tool with the Dataset ID. It will retrieve the media associated with the properties, providing URLs for images and virtual tours.

Bridge Data Output MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Bridge Data Output
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Bridge Data Output through Vinkius, pass the Edge URL in the `mcps` parameter and every Bridge Data Output tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Bridge Data Output Specialist",
    goal="Help users interact with Bridge Data Output effectively",
    backstory=(
        "You are an expert at leveraging Bridge Data Output tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Bridge Data Output "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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.

When paired with CrewAI, Bridge Data Output becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Bridge Data Output tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Bridge Data Output MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Bridge Data Output

Why Use CrewAI with the Bridge Data Output MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Bridge Data Output through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Bridge Data Output + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Bridge Data Output MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Bridge Data Output for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Bridge Data Output, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Bridge Data Output tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Bridge Data Output against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Bridge Data Output MCP Tools for CrewAI (10)

These 10 tools become available when you connect Bridge Data Output to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting Bridge Data Output to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Bridge Data Output + CrewAI FAQ

Common questions about integrating Bridge Data Output MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.