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How to Use the ONES MCP in Vercel AI SDK

Build real-time project management dashboards where ONES task data streams directly into your React or Next.js UI using Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

ONES MCP on Cursor AI Code Editor MCP Client ONES MCP on Claude Desktop App MCP Integration ONES MCP on OpenAI Agents SDK MCP Compatible ONES MCP on Visual Studio Code MCP Extension Client ONES MCP on GitHub Copilot AI Agent MCP Integration ONES MCP on Google Gemini AI MCP Integration ONES MCP on Lovable AI Development MCP Client ONES MCP on Mistral AI Agents MCP Compatible ONES MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Vercel AI SDK

Connect ONES MCP to Vercel AI SDK

Create your Vinkius account to connect ONES to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Stream live task details to the browser

The ONES MCP Server lets you pull live project states straight into the frontend. When a user asks for a sprint update, your AI client calls `list_tasks` and `get_project` to fetch the current backlog. Since Vercel AI SDK handles the streaming, those results don't wait for a slow loading spinner. The moment `get_task_details` returns the payload, the UI renders the ticket status, assignees, and descriptions right in front of the user.

Build interactive task creation

You can build chat interfaces that actually do the work instead of just talking about it. A developer types a request to file a bug, and your app triggers `list_task_types` to verify the correct format before calling `create_task`. It grabs the right assignee via `list_members` and pushes the new ticket into ONES. The user watches the confirmation pop up instantly as the edge function resolves the tool call.

Automate workflow state management

Moving tickets across the board usually means clicking through slow web interfaces. Now, your Next.js frontend can transition states automatically by mapping `list_workflows` against user intent. If someone approves a pull request in the chat, the system fires `update_task` to mark the ticket as done. You can also pull `get_org_info` to ensure the action aligns with the broader organization structure before committing the change.

Setup guide

Set up ONES MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all ONES tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent ONES transactions",
});

console.log(text);
await mcpClient.close();

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ONES. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about ONES MCP in Vercel AI SDK

Use `createMCPClient({ transport: { type: "http", url: "..." } })`. Pass `mcpClient.tools()` into `streamText` to let the model interact with your projects.
Yes. The SDK pushes the results of `list_tasks` straight to your React frontend. Users see the tickets appear as the model processes them.
No. The MCP standard handles the tool execution synchronously. When your prompt triggers `update_task`, the response streams back immediately.
Standard fetches require custom parsing and state management. The SDK binds ONES MCP Server tools directly to the LLM, handling the reasoning and UI rendering in one pass.
This integration reads and writes your proprietary R&D tickets, project titles, and member names. Vercel's edge functions process this data ephemerally, and the server requires a secure endpoint token to authenticate.

Start using the ONES MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

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No hosting. No infrastructure. No complex setup.
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