Smarty MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Smarty through 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="Smarty Assistant",
instructions=(
"You help users interact with Smarty. "
"You have access to 7 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Smarty"
)
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 Smarty MCP Server
Connect your Smarty account to any AI agent and empower your team to sanitize raw address data, query ZIP codes, and format global street locations securely. Interact with powerful geospatial and mailing validation APIs through natural language without writing a single line of custom script.
The OpenAI Agents SDK auto-discovers all 7 tools from Smarty through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Smarty, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Address Validation (USA/Intl) — Effortlessly clean and verify messy user inputs calling
validate_us_address, returning the Delivery Point Validation (DPV) - Text Extraction — Feed your AI unformatted text like emails or notes and run
extract_addressesto intelligently isolate real physical addresses - Autocompletion Tests — Interrogate the AI dynamically with partial street names using the
autocomplete_us_addressalgorithm - ZIP Code Checks — Validate specific 5-digit postal zones using
verify_zip_codeto retrieve associated municipal limits
The Smarty MCP Server exposes 7 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 Smarty to OpenAI Agents SDK via MCP
Follow these steps to integrate the Smarty 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 7 tools from Smarty
Why Use OpenAI Agents SDK with the Smarty MCP Server
OpenAI Agents SDK provides unique advantages when paired with Smarty 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
Smarty + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Smarty MCP Server delivers measurable value.
Automated workflows: build agents that query Smarty, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Smarty, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Smarty tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Smarty to resolve tickets, look up records, and update statuses without human intervention
Smarty MCP Tools for OpenAI Agents SDK (7)
These 7 tools become available when you connect Smarty to OpenAI Agents SDK via MCP:
autocomplete_intl_address
Predictive autocomplete for international addresses
autocomplete_us_address
Predictive autocomplete for US addresses
extract_addresses
g., emails, documents) and find valid addresses. Extracts physical addresses from raw text
get_account_info
Retrieves Smarty account information
validate_intl_address
Requires at least the address line and country. Validates and geocodes an international street address
validate_us_address
Returns delivery point validation (DPV) status and coordinates. Validates and geocodes a US street address
verify_zip_code
Verifies a ZIP code and returns associated cities and states
Example Prompts for Smarty in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Smarty immediately.
"Validate this US address: 1 Santa Claus Ln, North Pole, AK 99705."
"Can you extract any known addresses from this raw text string: "I live out near the big oak tree at 1600 Amphitheatre Pkwy, Mountain View, CA 94043, come visit soon!""
"Provide a markdown list of US autocomplete suggestions when a user types "3311 w 300 s s"."
Troubleshooting Smarty MCP Server with OpenAI Agents SDK
Common issues when connecting Smarty to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Smarty + OpenAI Agents SDK FAQ
Common questions about integrating Smarty 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 Smarty 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 Smarty to OpenAI Agents SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.
