HCSS MCP Server for AutoGen 11 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add HCSS as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="hcss_agent",
tools=tools,
system_message=(
"You help users with HCSS. "
"11 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use HCSS tools. Connect 11 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the HCSS MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 11 tools from HCSS automatically
Why Use AutoGen with the HCSS MCP Server
AutoGen provides unique advantages when paired with HCSS through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use HCSS tools to solve complex tasks
Role-based architecture lets you assign HCSS tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive HCSS tool calls
Code execution sandbox: AutoGen agents can write and run code that processes HCSS tool responses in an isolated environment
HCSS + AutoGen Use Cases
Practical scenarios where AutoGen combined with the HCSS MCP Server delivers measurable value.
Collaborative analysis: one agent queries HCSS while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from HCSS, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using HCSS data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process HCSS responses in a sandboxed execution environment
HCSS MCP Tools for AutoGen (11)
These 11 tools become available when you connect HCSS to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting HCSS to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"HCSS + AutoGen FAQ
Common questions about integrating HCSS MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect HCSS with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 AutoGen
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
