HCSS MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect HCSS 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="HCSS Assistant",
instructions=(
"You help users interact with HCSS. "
"You have access to 11 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from HCSS"
)
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 HCSS MCP Server
Connect your HCSS platform to any AI agent and take full control of your heavy construction workflows, from estimating to field data and equipment tracking, through natural conversation.
The OpenAI Agents SDK auto-discovers all 11 tools from HCSS through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries HCSS, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Field Data Management — List construction jobs and retrieve timecard data from HeavyJob to monitor site progress.
- Estimating Insights — Access bidding estimates and bid items from HeavyBid to stay aligned with project budgets.
- Equipment Telematics — Monitor your fleet with real-time GPS locations and latest meter readings (odometer/hours).
- Resource Coordination — List employees and business units defined across the HCSS ecosystem.
- Pre-Construction Tracking — Browse active pre-con projects and project lifecycles.
- Operational Efficiency — Use AI to identify equipment utilization trends or job cost variances in seconds.
The HCSS MCP Server exposes 11 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 HCSS to OpenAI Agents SDK via MCP
Follow these steps to integrate the HCSS 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 11 tools from HCSS
Why Use OpenAI Agents SDK with the HCSS MCP Server
OpenAI Agents SDK provides unique advantages when paired with HCSS 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
HCSS + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the HCSS MCP Server delivers measurable value.
Automated workflows: build agents that query HCSS, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries HCSS, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through HCSS tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query HCSS to resolve tickets, look up records, and update statuses without human intervention
HCSS MCP Tools for OpenAI Agents SDK (11)
These 11 tools become available when you connect HCSS to OpenAI Agents SDK via MCP:
get_bid_items
List bid items for a specific estimate
get_equipment_location
Get current GPS coordinates for a specific piece of equipment
get_equipment_meters
Get latest meter readings (odometer/hours) for equipment
list_business_units
List all business units in HCSS
list_cost_codes
List cost codes defined in the system
list_employees
List all employees synced in HCSS
list_equipment
List all tracked equipment/fleet from Telematics
list_estimates
List bidding estimates from HeavyBid
list_jobs
List all construction jobs/projects
list_precon_projects
List active pre-construction projects
list_timecards
List timecards from HeavyJob
Example Prompts for HCSS in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with HCSS immediately.
"List all active construction jobs."
"Show the current location of Excavator ID EX-992."
"What are the bid items for estimate ID 2024-001?"
Troubleshooting HCSS MCP Server with OpenAI Agents SDK
Common issues when connecting HCSS to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
HCSS + OpenAI Agents SDK FAQ
Common questions about integrating HCSS 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 HCSS 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 HCSS to OpenAI Agents SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.