Precisely MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Precisely through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Precisely "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Precisely?"
)
print(result.data)
asyncio.run(main())
* 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 Precisely MCP Server
Fuse the Precisely geospatial intelligence network directly into your AI workflows, enabling your agents to accurately pinpoint addresses globally, extract demographics, and evaluate location-based risks with unparalleled precision.
Pydantic AI validates every Precisely tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through 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
- Geocoding & Autocompletion — Supply partial strings and tell the AI to resolve absolute Coordinates globally (
geocode_address,autocomplete_address) - Risk Assessment — Submit coordinates to instantly read FEMA flood zones or comparative crime metrics for that property (
enrich_flood_risk,enrich_crime_risk) - Tax Boundaries — Ask the AI to parse the exact Local Sales Tax jurisdiction applying strictly to that rooftop coordinate (
get_local_tax) - Deep Enrichment — Convert standard US Addresses into comprehensive property records including square footage and household socioeconomic segments
The Precisely 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 Precisely to Pydantic AI via MCP
Follow these steps to integrate the Precisely 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 Precisely with type-safe schemas
Why Use Pydantic AI with the Precisely MCP Server
Pydantic AI provides unique advantages when paired with Precisely 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 Precisely integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Precisely connection logic from agent behavior for testable, maintainable code
Precisely + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Precisely MCP Server delivers measurable value.
Type-safe data pipelines: query Precisely with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Precisely tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Precisely and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Precisely responses and write comprehensive agent tests
Precisely MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Precisely to Pydantic AI via MCP:
autocomplete_address
Returns up to 10 candidate addresses ranked by relevance. Designed for keystroke-by-keystroke usage in address input forms. Provide real-time address suggestions as users type using the Precisely Typeahead Autocomplete API, drawing from a comprehensive global address database to accelerate form completion and reduce entry errors
enrich_crime_risk
Returns crime indices normalized to a national average of 100 — values above 100 indicate higher-than-average risk. Assess the crime risk index for a specific location using the Precisely Risks API, returning normalized risk scores across categories like burglary, assault, vehicle theft, and overall crime relative to national averages
enrich_demographics
Returns rich socio-economic profiles for the census block or postal zone containing the coordinates. Retrieve detailed demographic segmentation data for a geographic coordinate using the Precisely Demographics API, including household income brackets, population density, education levels, age distribution, and consumer spending patterns
enrich_flood_risk
Returns flood zone classification (A, AE, X, V), base flood elevation, and risk index. Primarily covers US territories with FEMA data. Evaluate flood risk exposure for a specific location using the Precisely Environmental Risks API, returning FEMA flood zone designations, proximity to water bodies, elevation data, and flood risk scores
geocode_address
precisely.com. The API returns a ranked list of candidates with latitude, longitude, precision code, and match confidence. Always pass the most complete address string available to maximize match quality. The response includes PrecisionCode indicating match depth (S8 = rooftop, S5 = street-level). Forward-geocode a full or partial address string into geographic coordinates using the Precisely Geocoding API v1, which resolves against a world-class global address reference database covering 250+ countries and territories
get_local_tax
Returns the combined tax rate and individual components (state, county, city, special district). Determine the applicable sales tax rate and tax jurisdiction for a geographic location using the Precisely Local Tax API, resolving complex overlapping US tax jurisdictions down to the rooftop level
get_property_info
Returns a rich property record sourced from county assessor databases. Coverage is US-only. Retrieve comprehensive property attribute data for a US address using the Precisely Property API v2, including lot size, building square footage, year built, number of bedrooms/bathrooms, assessed value, and ownership information
get_timezone
Returns the IANA timezone identifier (e.g. America/New_York), current UTC offset, and DST status. Resolve the timezone and current UTC offset for any geographic coordinate using the Precisely Timezone API, accounting for daylight saving time transitions and political boundary changes
reverse_geocode
Note the parameter order: x = longitude, y = latitude. Returns the closest matching address with full components (street, city, state, postal code, country). Convert geographic coordinates (latitude/longitude) back into a structured postal address using the Precisely Reverse Geocoding API, resolving the nearest rooftop-level address from the global reference database
verify_address
Returns a verified, standardized address with a verification status indicating if the address is deliverable, if components were corrected, or if the address is invalid. Validate and standardize a postal address against authoritative reference datasets using the Precisely Address Verification API, returning USPS/Royal Mail/local postal authority standardized formatting and deliverability status
Example Prompts for Precisely in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Precisely immediately.
"What is the exact sales tax for an e-commerce order delivered to '1 Market St, San Francisco, CA'?"
"Check the crime risk around the latitude 40.7128 and longitude -74.0060 relative to the national average."
"Can you verify if '350 5th Ave New York 10118' is a real deliverable address? If yes, give me its timezone."
Troubleshooting Precisely MCP Server with Pydantic AI
Common issues when connecting Precisely to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiPrecisely + Pydantic AI FAQ
Common questions about integrating Precisely MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect Precisely with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Precisely to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.