Evoliz MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 9 tools to Create Client, Get Article, Get Client, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Evoliz 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 MCP Server for Vercel AI SDK
The Evoliz MCP Server for Vercel AI SDK is a standout in the Erp Operations category — giving your AI agent 9 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 Evoliz, 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 Evoliz MCP Server
Connect your Evoliz account to any AI agent and take full control of your cloud invoicing and accounting workflows through natural conversation.
The Vercel AI SDK gives every Evoliz tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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
- Invoicing Orchestration — List and manage professional invoices programmatically, including retrieving detailed metadata and tracking payment statuses
- Quote Management — Programmatically fetch and list sales quotes to maintain a high-fidelity oversight of your pending deals
- Client CRM — Create and manage your complete customer database and retrieve detailed profiles directly through your agent
- Catalog Intelligence — Access your directory of articles (products/services) and retrieve technical metadata and pricing to coordinate sales
- Accounting Visibility — Monitor your business health by listing invoices and quotes programmatically using natural language commands
The Evoliz MCP Server exposes 9 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 9 Evoliz tools available for Vercel AI SDK
When Vercel AI SDK connects to Evoliz through Vinkius, your AI agent gets direct access to every tool listed below — spanning invoicing, quote-management, expense-tracking, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create client on Evoliz
Important required fields are usually `name` and `type` (Professional or Individual). Create a new client in Evoliz
Get article on Evoliz
Get a specific article in Evoliz
Get client on Evoliz
Get a specific client in Evoliz
Get invoice on Evoliz
Get a specific invoice in Evoliz
Get quote on Evoliz
Get a specific quote in Evoliz
List articles on Evoliz
List articles (products/services) in Evoliz
List clients on Evoliz
List clients in Evoliz
List invoices on Evoliz
List invoices in Evoliz
List quotes on Evoliz
List quotes in Evoliz
Connect Evoliz to Vercel AI SDK via MCP
Follow these steps to wire Evoliz into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind 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 Evoliz MCP Server
Vercel AI SDK provides unique advantages when paired with Evoliz 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 Evoliz integration everywhere
Built-in streaming UI primitives let you display Evoliz 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
Evoliz + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Evoliz MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Evoliz in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Evoliz tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Evoliz capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Evoliz through natural language queries
Example Prompts for Evoliz in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Evoliz immediately.
"List all my most recent invoices in Evoliz."
"Find the client named 'John Doe'."
"Show me the details for quote ID '67890'."
Troubleshooting Evoliz MCP Server with Vercel AI SDK
Common issues when connecting Evoliz to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpEvoliz + Vercel AI SDK FAQ
Common questions about integrating Evoliz 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.Explore More MCP Servers
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