How to Use the Precisely MCP in Pydantic AI
Use the Precisely MCP Server with Pydantic AI for type-safe location intelligence and validated property data.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Precisely MCP to Pydantic AI
Create your Vinkius account to connect Precisely to Pydantic AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Type-safe address validation in Pydantic AI
Every response from `verify_address` is validated against your Pydantic models. If the API returns malformed data, your agent stops immediately, preventing corrupted records from entering your database. Use `autocomplete_address` to provide structured suggestions. Because the tool output is coerced into your models, you can guarantee that the address components are always correctly typed and ready for use.
Risk enrichment with Pydantic AI constraints
Call `enrich_flood_risk` and map the output to a strict schema. Pydantic AI will catch any missing fields or unexpected types, ensuring your flood risk assessment logic never receives partial data. Apply the same rigor to `enrich_crime_risk`. Your agent will only process the data if it meets your schema requirements, keeping your underwriting calculations safe from silent failures.
Property and tax data for Pydantic AI
Extract property attributes with `get_property_info` and define a Pydantic model for the response. This gives you full IDE completion and runtime safety when working with lot sizes or valuation data. Use `get_local_tax` to calculate tax rates. By validating the response against a schema, you ensure that your tax calculations are always based on accurate, well-formed jurisdiction data.
Set up Precisely 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": {
"precisely-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Precisely tools.",
)
result = await agent.run("List recent Precisely 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 Precisely. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Precisely MCP in Pydantic AI
Use it with your favorite AI tools
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