How to Use the Nifty MCP in Vercel AI SDK

Q: What's the best way to find specific Nifty tasks using the Vercel AI SDK?

Use the searchalltasks tool. Your agent can take a user's query, pass it to the tool, and stream the matching tasks back to the UI. It's a direct way to build a powerful search feature into your custom frontend.

Connect your Vercel AI SDK app to Nifty and stream project updates directly into your UI. No more loading spinners.

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…and any MCP-compatible client

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Connect Nifty MCP to Vercel AI SDK

Create your Vinkius account to connect Nifty to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Nifty with Vercel AI SDK

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Build Live Project Dashboards

Stop forcing users to refresh the page. With the Vercel AI SDK, you can use `list_active_projects` and `list_workflow_tasks` to stream Nifty data directly into your React or Next.js components. As your agent finds tasks, they appear on the screen one by one. This makes your app feel alive. A user can see a task, click a button, and your UI can trigger `get_task_info` to show details or `mark_task_as_complete` to finish it. The results stream back instantly, confirming the action without a full page reload.

Create Tasks Directly from Chat

Embed project management right into a conversation. Build a simple chatbot where a user can type "create a task to deploy the new marketing site by Friday," and your agent uses `create_new_task` to add it to a Nifty project. The new task's ID and details stream back into the chat interface as confirmation. This direct interaction model means your users can also use tools like `update_task_metadata` to change priorities or assignees right from the same chat window. It's fast and it works.

Manage Roadmaps with this MCP Server

Give your users a real-time, high-level view of what's happening. The `list_organization_portfolios` tool lets you build a top-down directory of every major initiative. From there, users can drill into specific projects with `list_project_milestones`. Because you're using the AI SDK, these lists don't just pop in after a delay—they build themselves on the page. You can then use `create_project_milestone` to let users add new phases to a project, and the UI updates for everyone else who is watching.

Setup guide

Set up Nifty 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

Install dependencies

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

Discover and use tools

Call mcpClient.tools() to auto-discover all Nifty tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
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 Nifty transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Nifty. 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.

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Real-time monitoring

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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

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place for every integration

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Common questions about Nifty MCP in Vercel AI SDK

You'll use the Vinkius endpoint token provided after subscribing. In your code, you instantiate the MCP client with the transport URL and your token. Then you can pass the Nifty tools to the `generateText` or `streamText` functions.

Yes, that's exactly what this is for. The AI SDK is built for streaming responses. When your agent uses a tool like `list_workflow_tasks`, the tasks will stream into your UI as they are found, which is perfect for live dashboards.

Use the `search_all_tasks` tool. Your agent can take a user's query, pass it to the tool, and stream the matching tasks back to the UI. It's a direct way to build a powerful search feature into your custom frontend.

Yes. The Vinkius MCP transport is a standard HTTP endpoint, so it's fully compatible with Vercel Edge Functions. You can call the Nifty tools from the edge, close to your users, for lower latency.

This server only interacts with Nifty's project management data. That includes tasks, milestones, projects, and portfolios. Your Vinkius token is sandboxed and only grants access to the Nifty tools listed on this page, nothing else.

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