Precisely MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Precisely through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Precisely Assistant",
instructions=(
"You help users interact with Precisely. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Precisely"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 10 tools from Precisely through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Precisely, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Precisely MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Precisely
Why Use OpenAI Agents SDK with the Precisely MCP Server
OpenAI Agents SDK provides unique advantages when paired with Precisely through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Precisely + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Precisely MCP Server delivers measurable value.
Automated workflows: build agents that query Precisely, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Precisely, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Precisely tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Precisely to resolve tickets, look up records, and update statuses without human intervention
Precisely MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Precisely to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Precisely to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Precisely + OpenAI Agents SDK FAQ
Common questions about integrating Precisely MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
