ArborNote MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Check Api Health, Create Arbornote Client, Get Arbornote Client, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ArborNote 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 ArborNote app connector for Vercel AI SDK is a standout in the Erp Operations category — giving your AI agent 12 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 ArborNote, 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 ArborNote MCP Server
Connect your ArborNote account to any AI agent and take full control of your tree care and landscaping business operations through natural conversation.
The Vercel AI SDK gives every ArborNote tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Client Relationship Orchestration — List and manage your entire client directory programmatically, including creating new records and retrieving high-fidelity profile metadata
- Proposal & Estimate Intelligence — Monitor the status of active proposals and retrieve detailed high-fidelity cost estimates to coordinate your sales pipeline in real-time
- Work Order & Project Management — Programmatically track approved work orders and project milestones to oversee your field operations and team distribution efficiently
- Financial Visibility Monitoring — Access invoice histories and retrieve high-fidelity financial metrics to maintain perfectly coordinated revenue operations
- Operational Monitoring — Access organization-level metadata and verify active webhooks directly through your agent for instant operational reporting
The ArborNote MCP Server exposes 12 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 12 ArborNote tools available for Vercel AI SDK
When Vercel AI SDK connects to ArborNote through Vinkius, your AI agent gets direct access to every tool listed below — spanning arboriculture, tree-inventory, field-management, 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.
Verify ArborNote API connectivity
Create a new client
Get specific client
Get financial metrics
Get specific project
Get specific proposal
List all clients
List active projects
List proposals
List schedules
List active webhooks
Update an existing client
Connect ArborNote to Vercel AI SDK via MCP
Follow these steps to wire ArborNote 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 ArborNote MCP Server
Vercel AI SDK provides unique advantages when paired with ArborNote 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 ArborNote integration everywhere
Built-in streaming UI primitives let you display ArborNote 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
ArborNote + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the ArborNote MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query ArborNote in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate ArborNote tools and return structured JSON responses to any frontend
Chatbots with tool use: embed ArborNote capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with ArborNote through natural language queries
Example Prompts for ArborNote in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with ArborNote immediately.
"List all active proposals in my ArborNote account."
"Show the status of my current work orders."
"Create a new client 'John Doe' (john@example.com) and update his phone to '+15550123'."
Troubleshooting ArborNote MCP Server with Vercel AI SDK
Common issues when connecting ArborNote to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpArborNote + Vercel AI SDK FAQ
Common questions about integrating ArborNote 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.