How to Use the Nestoria MCP in AutoGen

Q: Which AutoGen agent should execute the Nestoria search?

Assign the searchlistings tool to a dedicated search agent. This agent queries the Nestoria MCP Server and shares the raw listings with the rest of your AutoGen group chat.

Q: Can AutoGen format Nestoria listings into custom markdown tables?

Yes. After the search agent runs the searchlistings tool, a formatting agent parses the Nestoria JSON payload and structures the property details into clean markdown for your review.

Let AutoGen agents debate and filter Nestoria property listings to find the perfect investment.

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Connect Nestoria MCP to AutoGen

Create your Vinkius account to connect Nestoria 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 Nestoria with AutoGen

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Debate real estate options using AutoGen and this MCP Server

The `search_listings` tool delivers raw property data directly to your AutoGen multi-agent conversation. One specialized AutoGen agent calls the tool to gather Nestoria listings, while a separate analyst agent challenges the pricing assumptions based on historical market trends. This conversational AutoGen workflow prevents single-agent bias when evaluating Nestoria real estate. The AutoGen agents debate the merits of different Nestoria listings in a shared chat thread, converging on the best options before presenting them to you.

Validate listing parameters through multi-agent consensus

The `search_listings` tool requires precise parameters like country and transaction type to return accurate results. In your AutoGen group chat, a coordinator agent verifies these inputs with a validation agent before sending the final request to Nestoria. This collaborative check reduces failed API calls and wasted tokens. Your agents resolve parameter conflicts internally, ensuring that every search executed against the Nestoria API is structured correctly.

Automate property filtering with specialized agents

The `search_listings` tool outputs detailed property descriptions that your AutoGen filter agents analyze for specific keywords. A compliance agent flags listings that do not meet your investment criteria, while a financial agent highlights underpriced properties. You direct this multi-agent team using simple natural language prompts. The underlying AutoGen MCP tool adapter handles the schema conversion, allowing your agents to interact with the Nestoria API using native Python objects.

Setup guide

Set up Nestoria 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 Nestoria 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="Nestoria_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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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="Nestoria_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Nestoria. 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 Nestoria MCP in AutoGen

Assign the `search_listings` tool to a dedicated search agent. This agent queries the Nestoria MCP Server and shares the raw listings with the rest of your AutoGen group chat.

You can configure a critic agent to compare multiple listings returned by the `search_listings` tool. The agents debate the discrepancies until they reach a consensus on which Nestoria data point is most reliable.

Yes. After the search agent runs the `search_listings` tool, a formatting agent parses the Nestoria JSON payload and structures the property details into clean markdown for your review.

Yes. You can connect your agents to the server using either the stdio transport or the Streamable HTTP transport, depending on your hosting setup.

Yes. Your search parameters and location filters are transmitted over encrypted TLS connections directly to our secure V8 sandbox. We never store the property details or query parameters processed by the Nestoria server.

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