How to Use the Mashvisor Alternative MCP in Pydantic AI
Build type-safe real estate agents with Pydantic AI and the Mashvisor Alternative.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Mashvisor Alternative MCP to Pydantic AI
Create your Vinkius account to connect Mashvisor Alternative to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Type-Safe Market Analytics
Bad data ruins investment models. Pydantic AI forces every response from this MCP Server to match your exact schema. When your agent calls `get_city_investment_performance`, the framework validates the return types before your code even sees the numbers. If an API change drops a required field, the system fails loudly. You catch the validation error immediately instead of silently writing corrupted data to your database.
Granular Property Targeting
Stop guessing if a property fits your criteria. Your agent uses `search_properties` to pull initial targets. It then validates the location by passing the output directly into `validate_city` and `get_top_neighborhoods`. Once the area checks out, the deep dive begins. The agent extracts the exact specs via `get_full_property_profile` and verifies the title status using `get_ownership_info`. Every step is strictly typed.
Strict Financial Modeling
You need exact numbers to calculate cap rates. The agent pulls long-term figures using `get_rental_rates` and short-term metrics via `get_airbnb_listings`. Pydantic AI ensures the currency and percentage fields format correctly. Next, it compares those current rates against the past. It grabs 36 months of data through `get_historical_performance` and runs the final numbers through `rento_calculator_lookup` to give you a mathematically sound projection.
Set up Mashvisor Alternative 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 deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith 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 callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"mashvisor-alternative-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Mashvisor Alternative tools.",
)
result = await agent.run("List recent Mashvisor Alternative transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mashvisor. 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 Mashvisor Alternative MCP in Pydantic AI
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