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Procore MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Procore through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
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 Procore, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* 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 Procore MCP Server

Connect your Procore construction management platform to any AI agent and oversee projects, quality, and field operations through natural conversation.

The Vercel AI SDK gives every Procore tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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

  • Projects Overview — List all active construction projects with status, addresses, timelines, and budget summaries
  • RFIs & Submittals — Track Requests for Information and material approvals with assignees, due dates, and response histories
  • Field Observations — Review safety and quality observations from the jobsite including priority, photos, and corrective actions
  • Punch Lists — Monitor deficiencies to resolve before closeout with locations, assignees, and deadlines
  • Daily Logs — Access daily logs with weather, workforce counts, equipment usage, and delay notes
  • Drawings — Browse blueprints, elevations, and shop drawings with revision tracking

The Procore MCP Server exposes 8 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 Procore to Vercel AI SDK via MCP

Follow these steps to integrate the Procore MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 8 tools from Procore and passes them to the LLM

Why Use Vercel AI SDK with the Procore MCP Server

Vercel AI SDK provides unique advantages when paired with Procore through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Procore integration everywhere

03

Built-in streaming UI primitives let you display Procore tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Procore + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Procore MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Procore in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Procore tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Procore capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Procore through natural language queries

Procore MCP Tools for Vercel AI SDK (8)

These 8 tools become available when you connect Procore to Vercel AI SDK via MCP:

01

get_project

Includes budget, schedule, team, and project settings. Get project details

02

list_daily_logs

Includes weather, workforce count, equipment, notes, and delays. List daily construction logs

03

list_drawings

Includes discipline, set, revision, and approval status. List project drawings

04

list_observations

Includes type, priority, assignee, photos, and status. List field observations

05

list_projects

List all construction projects

06

list_punch_items

Includes description, location, assignee, due date, and status. List punch list items

07

list_rfis

Includes subject, status, assignee, due date, and response history. List RFIs for a project

08

list_submittals

Includes title, spec section, status, and approver. List submittals

Example Prompts for Procore in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Procore immediately.

01

"Show me all my active construction projects."

02

"List all overdue RFIs on the Skyline Tower project."

03

"How many open punch items on Harbor View?"

Troubleshooting Procore MCP Server with Vercel AI SDK

Common issues when connecting Procore to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Procore + Vercel AI SDK FAQ

Common questions about integrating Procore MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Procore to Vercel AI SDK

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.