Gripr MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Create Customer, Create Project, Create Task, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Gripr through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Gripr app connector for Vercel AI SDK is a standout in the Construction category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Gripr, 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 Gripr MCP Server
Connect your Gripr (Goliath Systemer) account to any AI agent and take full control of your construction projects and craft business workflows through natural conversation.
The Vercel AI SDK gives every Gripr 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
- Project Orchestration — List and manage all active construction projects and retrieve detailed technical metadata and status
- Time Tracking — Programmatically register work hours for specific projects and retrieve history to ensure accurate billing and labor oversight
- Task Lifecycle — Create and manage project tasks to coordinate on-site activities and maintain a high-fidelity project schedule
- Customer CRM — Manage customer profiles and retrieve detailed contact information to streamline client communication
- Field Compliance — Access HSE (Health, Safety, and Environment) and QA (Quality Assurance) forms directly through your agent
The Gripr 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.
All 11 Gripr tools available for Vercel AI SDK
When Vercel AI SDK connects to Gripr through Vinkius, your AI agent gets direct access to every tool listed below — spanning safety-compliance, risk-assessment, time-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new customer
Create a new project
Create a new task
Get details for a project
List all customers
List HSE/QA forms
List all projects
List all registered hours
Optionally filter by project ID. List tasks
List all users in the workspace
Register work hours
Connect Gripr to Vercel AI SDK via MCP
Follow these steps to wire Gripr into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Gripr MCP Server
Vercel AI SDK provides unique advantages when paired with Gripr 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 Gripr integration everywhere
Built-in streaming UI primitives let you display Gripr 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
Gripr + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Gripr MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Gripr in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Gripr tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Gripr capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Gripr through natural language queries
Example Prompts for Gripr in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Gripr immediately.
"List all my active construction projects."
"Register 120 minutes of work for project 'p_123' today."
"Show me a list of all customers in Gripr."
Troubleshooting Gripr MCP Server with Vercel AI SDK
Common issues when connecting Gripr to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGripr + Vercel AI SDK FAQ
Common questions about integrating Gripr 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.