Can I check the commissions for a specific deal?

Yes! Use the `list_commissions` tool with the Transaction ID. Your agent will fetch the detailed breakdown of payouts and commission structures for that deal.

How do I list all the active real estate transactions?

Simply ask the agent to `list_transactions`. It will retrieve the current deals from your Brokermint account, including addresses and status information.

Does the integration allow creating a new contact?

Yes. Use the `create_contact` action and provide the full name and email. The contact will be added to your Brokermint account instantly.

Brokermint MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Brokermint
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Brokermint through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Brokermint "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Brokermint?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Brokermint MCP Server

Connect your Brokermint account to any AI agent and orchestrate your real estate back-office, transaction management, and commission tracking through natural conversation.

Pydantic AI validates every Brokermint tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Transaction Oversight — List all real estate deals, retrieve detailed metadata, and update statuses directly from your workspace.
Contact Management — List and create contacts for buyers, sellers, and other participants in your transactions.
Commission Tracking — Retrieve detailed commission structures and payouts associated with specific deals.
Team Coordination — Access your directory of agents and users managed within the platform.
Account Insights — Retrieve core account and site information straight from your workspace.

The Brokermint MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI 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 Brokermint to Pydantic AI via MCP

Follow these steps to integrate the Brokermint MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Brokermint with type-safe schemas

Why Use Pydantic AI with the Brokermint MCP Server

Pydantic AI provides unique advantages when paired with Brokermint through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Brokermint integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Brokermint connection logic from agent behavior for testable, maintainable code

Brokermint + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Brokermint MCP Server delivers measurable value.

Type-safe data pipelines: query Brokermint with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Brokermint tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Brokermint and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Brokermint responses and write comprehensive agent tests

Brokermint MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Brokermint to Pydantic AI via MCP:

create_contact

Create a new contact

create_transaction

Create a new real estate transaction

get_account_info

Retrieve core account information

get_contact

Get details of a specific contact

get_transaction

Get details of a specific transaction

list_commissions

List commissions for a specific transaction

list_contacts

List all contacts (buyers, sellers, etc)

list_transactions

List all real estate transactions

list_users

List all users/agents in the account

update_transaction

Update an existing transaction

Example Prompts for Brokermint in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Brokermint immediately.

"List my last 5 real estate transactions in Brokermint."

"Show the commission structure for transaction tr_99283."

"Create a new contact named John Doe with email john@example.com."

Troubleshooting Brokermint MCP Server with Pydantic AI

Common issues when connecting Brokermint to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Brokermint + Pydantic AI FAQ

Common questions about integrating Brokermint MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Brokermint MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.