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ONES MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ONES through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
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 ONES, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
ONES
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 ONES MCP Server

Empower your AI agent to orchestrate your R&D lifecycle with ONES, the leading enterprise project management platform. By connecting ONES to your agent, you transform complex issue tracking, requirement management, and workflow auditing into a natural conversation. Your agent can instantly list your projects, create new tasks, update statuses, and even browse team members without you needing to navigate the comprehensive ONES dashboard. Whether you are following Scrum, Kanban, or Waterfall, your agent acts as a real-time R&D assistant, keeping your projects organized and your team aligned.

The Vercel AI SDK gives every ONES 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.

What you can do

  • Project Management — List all accessible projects and retrieve detailed information about your R&D workspace.
  • Task Operations — Create, update, and track tasks with full support for summaries, descriptions, and assignees.
  • Workflow Auditing — Browse project workflows and task types to understand your team's development process.
  • Team Coordination — List organization members to manage assignments and collaboration effectively.
  • Organization Insights — Retrieve high-level summaries of your ONES organization activity.

The ONES 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 ONES to Vercel AI SDK via MCP

Follow these steps to integrate the ONES MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from ONES and passes them to the LLM

Why Use Vercel AI SDK with the ONES MCP Server

Vercel AI SDK provides unique advantages when paired with ONES through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same ONES integration everywhere

03

Built-in streaming UI primitives let you display ONES tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

ONES + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the ONES MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query ONES in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate ONES tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed ONES capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with ONES through natural language queries

ONES MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect ONES to Vercel AI SDK via MCP:

01

create_task

Create a new ONES task

02

get_org_info

Get organization summary

03

get_project

Get project details

04

get_task_details

Get task details

05

list_members

List organization members

06

list_projects

List all ONES projects

07

list_task_types

g., bug, task, story). List task types

08

list_tasks

List tasks in a project

09

list_workflows

List project workflows

10

update_task

Update an existing ONES task

Example Prompts for ONES in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with ONES immediately.

01

"List all my active R&D projects on ONES."

02

"Create a new task in project 'Mobile SDK' titled 'Implement OAuth2 login'."

03

"Show me the recent activity summary for our organization."

Troubleshooting ONES MCP Server with Vercel AI SDK

Common issues when connecting ONES to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

ONES + Vercel AI SDK FAQ

Common questions about integrating ONES MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect ONES to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.