JobProgress (Leap) MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect JobProgress (Leap) 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 JobProgress (Leap), 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 JobProgress (Leap) MCP Server
Empower your AI agents with JobProgress's (now part of Leap) business management platform for contractors. This MCP server allows you to list and retrieve customers and jobs, track estimates and proposals, manage workflows and tasks, and view appointments directly through the JobProgress API. Ideal for automating construction and home improvement operations.
The Vercel AI SDK gives every JobProgress (Leap) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
The JobProgress (Leap) MCP Server exposes 10 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 JobProgress (Leap) to Vercel AI SDK via MCP
Follow these steps to integrate the JobProgress (Leap) 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 10 tools from JobProgress (Leap) and passes them to the LLM
Why Use Vercel AI SDK with the JobProgress (Leap) MCP Server
Vercel AI SDK provides unique advantages when paired with JobProgress (Leap) 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 JobProgress (Leap) integration everywhere
Built-in streaming UI primitives let you display JobProgress (Leap) 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
JobProgress (Leap) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the JobProgress (Leap) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query JobProgress (Leap) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate JobProgress (Leap) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed JobProgress (Leap) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with JobProgress (Leap) through natural language queries
JobProgress (Leap) MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect JobProgress (Leap) to Vercel AI SDK via MCP:
get_customer
Returns addresses, project history, and custom metadata. Essential for deep intelligence on a customer before preparing estimates or jobs. Retrieves details for a specific customer
get_job
Returns project descriptions, cost estimates, and current stage in the workflow. Use this to analyze a project's progress or provide customer updates. Retrieves details for a specific job
list_appointments
Essential for managing the field service calendar. Lists all scheduled appointments
list_customers
Returns customer names, contact info, and IDs. Use this as the main starting point for customer management or finding a specific client. Lists all customers in JobProgress
list_estimates
Useful for auditing sales performance and identifying pending project approvals. Lists all job estimates
list_jobs
Includes job titles, status, and associated customer IDs. Use this to monitor the project pipeline and upcoming work. Lists all jobs in JobProgress
list_proposals
Useful for monitoring contract acceptance and sales conversions. Lists all job proposals
list_tasks
Essential for helping the user manage their daily to-do list. Lists all tasks
list_users
Useful for identifying assignees or sales reps. Lists all users in the organization
list_workflows
Useful for understanding business processes. Lists all configured workflows
Example Prompts for JobProgress (Leap) in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with JobProgress (Leap) immediately.
"List all active customers in JobProgress."
"Show me the details for job ID '123'."
"Check my appointments for today."
Troubleshooting JobProgress (Leap) MCP Server with Vercel AI SDK
Common issues when connecting JobProgress (Leap) to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpJobProgress (Leap) + Vercel AI SDK FAQ
Common questions about integrating JobProgress (Leap) 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 JobProgress (Leap) 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 JobProgress (Leap) to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.