How to Use the Luxury Presence MCP in Pydantic AI

Q: Can I use Pydantic AI to update agent bios on Luxury Presence?

Yes, you can use the updateagent tool within your Pydantic AI agent. The framework validates the updated bio and contact details against your defined schema before submitting the changes to the API.

Q: Does this setup support multi-office brokerages?

Yes, you can use listoffices and listteams to build a complete map of your brokerage. Pydantic AI structures this office data so your agent can accurately route leads to the correct regional team.

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Connect Luxury Presence MCP to Pydantic AI

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Setup Luxury Presence with Pydantic AI

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Type-safe agent creation with `create_agent`

The `create_agent` tool requires structured JSON input to register a new real estate profile, and Pydantic AI guarantees that structure at runtime. If your agent attempts to pass an invalid phone number or missing email, the framework raises a validation error before hitting the API. This strict validation prevents corrupt agent profiles from entering your database. Your application fails loudly and immediately, allowing your engineering team to debug schema mismatches before they impact active agents.

Validating Luxury Presence leads in Pydantic AI

The `get_lead` and `list_leads` tools return buyer details that Pydantic AI parses into strongly typed Python models. Your agent can confidently process names, budgets, and phone numbers without risking runtime crashes from unexpected null values. Because Pydantic AI is model-agnostic, you can swap your underlying LLM while keeping your data validation layer intact. Your lead routing logic remains predictable whether you use open-source or proprietary models over the MCP interface.

Reliable team updates via this MCP Server

The `update_agent` and `get_team` tools let you maintain accurate organizational hierarchies within your real estate application. Pydantic AI validates the response payload from the MCP Server, ensuring that agent statuses and team IDs match your local application state. This runtime enforcement is critical when managing high-value luxury real estate teams. It ensures that critical updates to agent bios and office assignments via `list_offices` are executed correctly every single time.

Setup guide

Set up Luxury Presence MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "luxury-presence-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Luxury Presence tools.",
)

result = await agent.run("List recent Luxury Presence transactions")
print(result.output)

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Common questions about Luxury Presence MCP in Pydantic AI

You instantiate the MCPToolset with your Vinkius HTTP URL and pass it to your Pydantic AI agent. The agent automatically discovers all ten tools, including `list_agents` and `get_office`, and validates their inputs at runtime.

Pydantic AI will raise a validation error instantly. This prevents your agent from working with corrupted data, ensuring that lead details from `get_lead` or agent profiles from `get_agent` are always clean and complete.

Yes, you can use the `update_agent` tool within your Pydantic AI agent. The framework validates the updated bio and contact details against your defined schema before submitting the changes to the API.

Yes, you can use `list_offices` and `list_teams` to build a complete map of your brokerage. Pydantic AI structures this office data so your agent can accurately route leads to the correct regional team.

All agent details, lead records, and office structures are processed locally within your application's memory before validation. The Vinkius MCP Server handles communication over an ephemeral, zero-trust connection, ensuring your high-end real estate data is never exposed.

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