HCSS MCP Server for Vercel AI SDK 11 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect HCSS through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using HCSS, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Vercel AI SDK gives every HCSS tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the HCSS MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 11 tools from HCSS and passes them to the LLM
Why Use Vercel AI SDK with the HCSS MCP Server
Vercel AI SDK provides unique advantages when paired with HCSS through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same HCSS integration everywhere
Built-in streaming UI primitives let you display HCSS tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
HCSS + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the HCSS MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query HCSS in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate HCSS tools and return structured JSON responses to any frontend
Chatbots with tool use: embed HCSS capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with HCSS through natural language queries
HCSS MCP Tools for Vercel AI SDK (11)
These 11 tools become available when you connect HCSS to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting HCSS to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpHCSS + Vercel AI SDK FAQ
Common questions about integrating HCSS MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.