How do I get a Mashvisor API Key?

Sign up at [**Mashvisor**](https://www.mashvisor.com/), go to your account settings, and generate an API key. API access requires an active subscription.

What investment metrics are available?

Cap rate, cash-on-cash return, occupancy rate, average daily rate (ADR), monthly/annual revenue, RevPAR, and rental rates for both Airbnb (STR) and traditional (LTR) strategies.

Can I compare Airbnb vs traditional rental income?

Yes! Every property analysis includes both STR (Airbnb) and LTR (traditional) metrics side by side, including cap rates and cash-on-cash returns for each strategy.

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

Name: Mashvisor
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 Mashvisor 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 Mashvisor "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Mashvisor?"
    )
    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 Mashvisor MCP Server

Connect Mashvisor real estate analytics to any AI agent and analyze investment properties with detailed Airbnb vs traditional rental comparisons, neighborhood analytics, and market insights through natural language.

Pydantic AI validates every Mashvisor 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

Property Search — Find investment properties by city, state, price range, and bedrooms
Investment Metrics — Get cap rates, cash-on-cash returns, and revenue projections for both STR and LTR strategies
Airbnb Analysis — View occupancy rates, average daily rates, monthly revenue, and seasonality data
Rental Estimates — Get long-term rental rate estimates for 1-5 bedroom properties
Neighborhood Insights — Compare neighborhoods by ROI, demand indicators, and market benchmarks
Market Listings — Browse active, distressed, and off-market properties in any city
Historical Data — Analyze up to 36 months of Airbnb performance trends

The Mashvisor 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 Mashvisor to Pydantic AI via MCP

Follow these steps to integrate the Mashvisor 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 Mashvisor with type-safe schemas

Why Use Pydantic AI with the Mashvisor MCP Server

Pydantic AI provides unique advantages when paired with Mashvisor 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 Mashvisor integration code

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

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

Mashvisor + Pydantic AI Use Cases

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

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

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

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

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

Mashvisor MCP Tools for Pydantic AI (10)

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

get_airbnb_listings

Get Airbnb rental listings and metrics

get_airbnb_property

Get detailed Airbnb listing information

get_city_listings

Filter by status, days on market, price history, and property attributes. Get city market listings

get_historical_performance

Useful for analyzing seasonality and long-term performance patterns. Get historical Airbnb performance data

get_investment_analysis

Get property investment analysis

get_property

Get detailed property information

get_rental_rates

Includes rent distribution statistics and helps evaluate traditional rental investment potential. Get traditional rental rate estimates

list_neighborhoods

List neighborhoods with investment data

list_properties

Filter by city, state, bedrooms, and property type. Returns properties with Airbnb and long-term rental metrics. List investment properties

search_properties

Returns properties with investment metrics. Search properties with advanced filters

Example Prompts for Mashvisor in Pydantic AI

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

"Show me investment properties in Las Vegas with good Airbnb ROI."

"What's the best neighborhood for Airbnb in Chicago?"

"What are typical rental rates for a 3BR in Austin, TX?"

Troubleshooting Mashvisor MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Mashvisor + Pydantic AI FAQ

Common questions about integrating Mashvisor 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 Mashvisor MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.