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HCSS MCP. Manage job costs, timecards, and equipment status.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Just plug in your AI agents and start using Vinkius.

HCSS MCP Server lets your AI agent manage heavy construction jobs, timecards, estimates, and equipment data. Connect it to read real-time fleet locations, check job costs, and list employees directly from HCSS.

Stop switching between portals; get all site data from one chat window.

What your AI agents can do

Get bid items

Retrieves a list of bid items needed for a specific estimate ID.

Get equipment location

Gets the current GPS coordinates for a piece of equipment.

Get equipment meters

Retrieves the latest meter readings (odometer or engine hours) for equipment.

+ 8 more capabilities included
Track job progress and labor costs

List active jobs and pull timecard data to monitor field progress and labor hours.

Calculate project bid costs

Access bidding estimates and detailed bid items to verify project costs against budgets.

Monitor equipment status and location

Get real-time GPS coordinates and the latest meter readings for every piece of tracked equipment.

Identify project resources

List all employees and business units defined in the HCSS system for resource planning.

Manage pre-construction phases

Browse and track active pre-con projects and their lifecycle status.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
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AI Agent

HCSS MCP Server: 11 Tools for Construction Operations

These tools link job data, timecards, equipment locations, and bid items, giving your AI agent a complete view of your heavy construction operations.

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get bid items

Retrieves a list of bid items needed for a specific estimate ID.

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get equipment location

Gets the current GPS coordinates for a piece of equipment.

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get equipment meters

Retrieves the latest meter readings (odometer or engine hours) for equipment.

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list business units

Lists all business units defined within the HCSS system.

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list cost codes

Lists all cost codes defined in the HCSS system.

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list employees

Lists all employees synced in the HCSS system.

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list equipment

Lists all tracked equipment/fleet available in the Telematics data.

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list estimates

Lists all bidding estimates recorded in HeavyBid.

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list jobs

Lists all construction jobs and projects managed in HCSS.

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list precon projects

Lists all active pre-construction projects.

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list timecards

Lists timecard records from HeavyJob.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on every call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with HCSS, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 4,700+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Every connection is secured and compliant automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog every week

What you can do with this MCP connector

Your AI agent handles your entire construction workflow, from initial job estimates to current field data and equipment tracking. You'll use this server to read real-time fleet locations, check job costs, and list employees directly from HCSS. You won't have to switch between portals; you'll get all site data from one chat window.

Tracking Job Progress and Labor Costs

  • You can use list_jobs to get a list of all construction jobs and projects in HCSS. You'll pull timecard data using list_timecards to monitor field progress and labor hours.

Calculating Project Bid Costs

  • You can get a list of all bidding estimates recorded in HeavyBid using list_estimates. You'll retrieve specific bid items needed for an estimate ID with get_bid_items to verify project costs against budgets.

Monitoring Equipment Status and Location

  • You can get the current GPS coordinates for any piece of equipment with get_equipment_location. You'll also pull the latest meter readings (odometer or engine hours) for equipment using get_equipment_meters. You can list all tracked equipment/fleet available in the Telematics data with list_equipment and list all equipment available with list_equipment.

Identifying Project Resources

  • You can list all employees synced in the HCSS system with list_employees. You can list all business units defined within the HCSS system with list_business_units.

How HCSS MCP Works

  1. 1 Subscribe to the HCSS server and provide your required HCSS Client ID, Client Secret, and API Key.
  2. 2 Your AI client connects to the server, sending a natural language request (e.g., 'What are the job costs for Project X?').
  3. 3 The server executes the necessary HCSS tool calls, pulls the data, and feeds the structured results back to your AI client for a human-readable answer.

The bottom line is, your AI agent handles the connection, the data retrieval, and the presentation, so you don't have to switch between systems.

Who Is HCSS MCP For?

The Project Manager who needs job cost status and timecard data immediately. The Fleet Manager who can't afford to wait for field reports. The Estimator who needs to cross-check bid items against project budgets before a deadline.

Project Manager

Retrieves job costs and timecard status for specific projects directly from the field data.

Fleet Manager

Checks equipment locations and maintenance needs across the entire fleet without opening the telematics portal.

Estimator

Verifies specific bid item details and tracks estimate progress during intense bidding cycles.

What Changes When You Connect

  • Track job progress and labor costs instantly. Instead of manually pulling timecards from HeavyJob, your agent runs list_timecards and delivers job cost summaries in seconds. You know who worked where and when.
  • Keep bidding estimates accurate. You can use list_estimates and get_bid_items to pull all necessary line items and quantities, letting you verify budgets without opening HeavyBid.
  • Know where the equipment is. Forget waiting for reports. Use get_equipment_location to check a machine's real-time GPS coordinates and know if it's near the job site.
  • Resource planning is faster. Need to know who's on site or what business units exist? Run list_employees or list_business_units to get a clean list of available resources.
  • Cut through the noise on equipment. Instead of reading long telematics screens, get_equipment_meters gives you the exact odometer or hour count you need to calculate maintenance costs.

Real-World Use Cases

01

Need to reconcile job costs with labor hours.

A Project Manager needs to see the current cost variance for the 'Highway 101 Expansion' job. They ask the agent to list the jobs, then specify the ID. The agent runs list_jobs and list_timecards to pull the data, giving the PM an immediate, cross-referenced cost summary.

02

Checking a machine's status before deployment.

The Site Supervisor needs to know if the excavator is available and where it is. They ask the agent to find the machine by ID. The agent uses list_equipment and then calls get_equipment_location and get_equipment_meters to give a full operational picture: location, status, and running hours.

03

Validating a new bid's cost components.

An Estimator is reviewing a proposal. They ask the agent for the bid items for a specific estimate ID. The agent uses list_estimates and get_bid_items to pull the full breakdown, allowing the estimator to compare the proposed costs against internal cost codes (list_cost_codes).

04

Tracking pre-construction resource needs.

A Project Director needs to know what resources are needed for the next phase. They ask the agent to list active pre-con projects. The agent uses list_precon_projects and then cross-references available employees (list_employees) to create a preliminary resource allocation plan.

The Tradeoffs

Manual data aggregation

Opening the heavy job portal, downloading the timecard CSV. Logging into the telematics system, finding the GPS coordinates. Opening the bid sheet, searching for the item cost. Then, manually compiling a single report in Excel.

Ask your AI agent to run list_jobs first, then specify the job ID. Ask the agent to pull the timecards using list_timecards, and separately, run get_equipment_location for the required equipment. This gets all the data in one chat.

Ignoring data dependencies

Trying to find the cost of equipment without knowing the job ID or the required cost code. The resulting data dump is incomplete or unusable.

Always start by listing the project using list_jobs to get the core job ID. Then, use that ID to restrict your search when calling list_timecards or when checking against list_cost_codes.

Over-reliance on single tools

Just running list_equipment and getting a massive list of machine IDs, but having no idea if they are currently running or where they are located.

After running list_equipment, immediately follow up by asking the agent to run get_equipment_location and get_equipment_meters for the IDs you care about. This turns a list into actionable data.

When It Fits, When It Doesn't

Use this server if you need to combine data from several different operational systems (e.g., timecards, equipment location, cost codes) into a single conversation. It's perfect for the Project Manager who needs a 360-degree view of a job. Don't use this if you only need to list all employees—just use the list_employees tool directly. Also, don't use it if your primary need is just a list of active projects; list_jobs handles that simply. This tool excels when you need to cross-reference data: linking a specific job ID to the labor recorded in list_timecards and the equipment tracked by get_equipment_location.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HCSS. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

VINKIUS INFRASTRUCTURE

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Policy on every call

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How we secure it →

Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 11 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

get_bid_items get_equipment_location get_equipment_meters list_business_units list_cost_codes list_employees list_equipment list_estimates list_jobs list_precon_projects list_timecards

Stop jumping between portals to track job costs.

Today, tracking job costs means jumping through hoops. You open the timecard portal to see labor hours. Then you log into the telematics dashboard to check machine usage hours. You open the bidding system to find the cost item price. You copy-paste everything into an Excel sheet, hoping nothing breaks.

With the HCSS MCP Server, you just ask the agent. You say, 'What's the cost variance for Job 5501?' The agent handles the links—it pulls the timecards (`list_timecards`), it checks the equipment hours (`get_equipment_meters`), and it cross-references the cost codes (`list_cost_codes`). You get the final number, nothing else.

HCSS MCP Server: Job & Timecard Management

You don't have to manually export field reports or log into separate portals to get a full picture of a job. This eliminates the time spent waiting for data dumps and the risk of outdated information.

The whole process moves to a chat. Your AI agent becomes the dedicated Project Engineer, pulling real-time data and synthesizing it for you. It's all one conversation.

Common Questions About HCSS MCP

How do I obtain my HCSS API credentials? +

You must request API access through the HCSS Developer Portal (developer.hcssapps.com). Once approved, you will receive your Client ID, Client Secret, and Ocp-Apim-Subscription-Key.

Can I see the real-time location of my equipment? +

Yes! Use the get_equipment_location tool with the unique equipment ID. It will return the latest GPS coordinates recorded by the Telematics system.

Does this integration cover both HeavyJob and HeavyBid? +

Yes, this MCP server includes tools for both modules, allowing you to access timecard data from HeavyJob and estimate/bid data from HeavyBid in a single interface.

Is the integration secure for construction data? +

Absolutely. The integration uses industry-standard OAuth 2.0 Client Credentials flow and HTTPS. Your credentials are encrypted and stored securely within the Vinkius Cloud infrastructure.

How do I use the `list_timecards` tool to check job progress? +

You list timecards by specifying the job ID or date range. This lets you track actual labor hours against planned project timelines.

Can I use `get_bid_items` to check costs for a different estimate? +

Yes, you just provide the new Estimate ID. This lets you pull bid item details from any HeavyBid estimate without manually exporting data.

What kind of equipment data can I get using `list_equipment`? +

It lists all tracked assets from Telematics. For each piece of equipment, you get its ID, model, and status, so you know what's on site.

Does the `get_equipment_meters` tool work for all types of machinery? +

This tool retrieves the latest meter readings (odometer or engine hours) for any piece of equipment you specify. It uses the equipment ID for accurate data retrieval.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.

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