Dubsado MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Apply Workflow, Create Invoice, Create Project, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Dubsado 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 Dubsado app connector for Vercel AI SDK is a standout in the Productivity 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 Dubsado, 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 Dubsado MCP Server
Connect your Dubsado account to any AI agent and take full control of your business operations and client lifecycle management through natural conversation.
The Vercel AI SDK gives every Dubsado 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
- Project Orchestration — List and manage client projects programmatically, including updating statuses, tags, and retrieving detailed metadata
- Billing & Invoicing — Monitor financial records across projects and programmatically create new invoices with detailed line items and taxes
- Contract Intelligence — Access project agreements and e-signature documents to monitor signing progress and contract validity in real-time
- Workflow Automation — Programmatically trigger automated sequence templates for specific projects to coordinate onboarding and client journeys
- Relationship CRM — Access your complete directory of clients and leads to manage contact information and high-fidelity communication history
The Dubsado 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 Dubsado tools available for Vercel AI SDK
When Vercel AI SDK connects to Dubsado through Vinkius, your AI agent gets direct access to every tool listed below — spanning dubsado, crm-automation, project-lifecycle, 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.
Apply a workflow to a project
Create a new invoice
Create a new project
Get contract status and details
Get details for a Dubsado invoice
Get details for a Dubsado project
List Dubsado contacts
List project contracts
List all invoices
List all Dubsado projects
List available workflow templates
Update an existing project
Connect Dubsado to Vercel AI SDK via MCP
Follow these steps to wire Dubsado 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 Dubsado MCP Server
Vercel AI SDK provides unique advantages when paired with Dubsado 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 Dubsado integration everywhere
Built-in streaming UI primitives let you display Dubsado 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
Dubsado + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Dubsado MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Dubsado in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Dubsado tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Dubsado capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Dubsado through natural language queries
Example Prompts for Dubsado in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Dubsado immediately.
"List all my active projects in Dubsado."
"Create a $200 invoice for project 'proj_1' for 'Design Services'."
"Show me the status of the contract for 'Winter Wedding'."
Troubleshooting Dubsado MCP Server with Vercel AI SDK
Common issues when connecting Dubsado to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDubsado + Vercel AI SDK FAQ
Common questions about integrating Dubsado 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.