Bridge Data Output MCP Server for Cursor 10 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"bridge-data-output": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
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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.
Cursor's Agent mode turns Bridge Data Output into an in-editor superpower. Ask Cursor to generate code using live data from Bridge Data Output and it fetches, processes, and writes — all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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 Cursor 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 Cursor via MCP
Follow these steps to integrate the Bridge Data Output MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Bridge Data Output
Open Agent mode in chat and ask: "Using Bridge Data Output, help me..." — 10 tools available
Why Use Cursor with the Bridge Data Output MCP Server
Cursor AI Code Editor provides unique advantages when paired with Bridge Data Output through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP — no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Bridge Data Output + Cursor Use Cases
Practical scenarios where Cursor combined with the Bridge Data Output MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Bridge Data Output MCP Tools for Cursor (10)
These 10 tools become available when you connect Bridge Data Output to Cursor 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 Cursor
Ready-to-use prompts you can give your Cursor 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 Cursor
Common issues when connecting Bridge Data Output to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Bridge Data Output + Cursor FAQ
Common questions about integrating Bridge Data Output MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect Bridge Data Output with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Cursor
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.