How to Use the Bridge Data Output MCP in AutoGen

Q: How do I add Bridge Data Output MCP Server tools to an AutoGen agent?

Use the mcpservertools helper with your Vinkius HTTP URL to load the tools. Pass the resulting list directly to your AssistantAgent constructor to give it MLS access.

Let your AutoGen agents debate property valuations and MLS listings using live market data.

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Connect Bridge Data Output MCP to AutoGen

Create your Vinkius account to connect Bridge Data Output to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Bridge Data Output with AutoGen

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Equip AutoGen agents with live MLS data tools.

This MCP Server exposes real estate tools like `get_property` and `list_properties` to your multi-agent conversations. Your agents can query live market data to resolve debates during planning. AutoGen automatically maps these tools to your `AssistantAgent` instances. A buyer agent can request property details while a pricing agent evaluates the listing data to suggest counteroffers.

Search properties by city and price in multi-agent workflows.

The `search_properties_by_city` and `search_properties_by_price` tools let your agents run market research autonomously. Agents use these tools to find listings that match client criteria during negotiation simulations. One agent can search for properties in a specific city, while another filters those results by price. They compare findings in the chat thread to find the best investment opportunities.

Query agent and media metadata for broker analysis.

The `list_members`, `list_offices`, and `list_media` tools pull broker details and listing media directly into agent conversations. This lets agents verify listing brokerages and analyze visual assets. Your agents can cross-reference property listings with active agent directories. They can check which offices represent the most properties in a zip code, all within a single chat run.

Setup guide

Set up Bridge Data Output MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Bridge Data Output tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Bridge Data Output_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Bridge Data Output data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Bridge Data Output_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Bridge Data Output data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Bridge Data Output. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Bridge Data Output MCP in AutoGen

Use the mcp_server_tools helper with your Vinkius HTTP URL to load the tools. Pass the resulting list directly to your AssistantAgent constructor to give it MLS access.

Yes, you can register the tools with multiple agents in your group chat. They can all call tools like `search_properties_by_city` to share real estate data in their joint discussion.

The McpToolAdapter handles schema conversion automatically behind the scenes. Your agents receive clean JSON payloads that they can immediately read, parse, and discuss.

It supports both stdio and Streamable HTTP transports. When hosting on Vinkius, you will use the secure HTTP transport with your endpoint token for simple configuration.

Vinkius executes all MCP Server requests inside private, short-lived V8 isolates. Your API keys, property records, and agent listings are processed securely and never persist on our servers.

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