Shovels 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 Shovels 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="Shovels Assistant",
instructions=(
"You help users interact with Shovels. "
"You have access to 7 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Shovels"
)
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 Shovels MCP Server
Empower your AI agent to access the most comprehensive database of construction permits and licensed contractors with Shovels. By connecting Shovels to your agent, you transform complex real estate and construction auditing into a natural conversation. Your agent can instantly search for active permits, audit contractor history, and retrieve market statistics for specific geographic areas without you ever touching a dashboard. Whether you are analyzing market trends or verifying contractor credentials, your agent acts as a real-time construction data analyst, ensuring your insights are always structured and up-to-date.
The OpenAI Agents SDK auto-discovers all 7 tools from Shovels through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Shovels, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Contractor Discovery — Find licensed professionals based on location, work type (solar, roofing, etc.), and property type.
- Permit Auditing — Search for and inspect detailed building permit records, including status and estimated values.
- Activity Tracking — Identify contractors actively working within a specific radius of any address.
- Market Intelligence — Retrieve aggregated permit statistics to analyze construction trends in different cities or counties.
- License Verification — Instantly pull contractor profiles using their state business license IDs.
The Shovels 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 Shovels to OpenAI Agents SDK via MCP
Follow these steps to integrate the Shovels 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 Shovels
Why Use OpenAI Agents SDK with the Shovels MCP Server
OpenAI Agents SDK provides unique advantages when paired with Shovels 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
Shovels + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Shovels MCP Server delivers measurable value.
Automated workflows: build agents that query Shovels, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Shovels, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Shovels tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Shovels to resolve tickets, look up records, and update statuses without human intervention
Shovels MCP Tools for OpenAI Agents SDK (7)
These 7 tools become available when you connect Shovels to OpenAI Agents SDK via MCP:
get_contractor
Get contractor details
get_contractor_activity
Find contractors active at an address
get_contractor_by_license
Find contractor by license ID
get_permit
Get permit details
get_permit_stats
Get permit activity statistics
search_contractors
Search for licensed contractors
search_permits
Search for building permits
Example Prompts for Shovels in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Shovels immediately.
"Search for roofing contractors in ZIP 94105."
"Show me permit stats for Austin, TX."
"Find contractors active near 1600 Amphitheatre Pkwy, Mountain View."
Troubleshooting Shovels MCP Server with OpenAI Agents SDK
Common issues when connecting Shovels to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Shovels + OpenAI Agents SDK FAQ
Common questions about integrating Shovels 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 Shovels 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 Shovels to OpenAI Agents SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.
