How to Use the Leiga MCP in Vercel AI SDK

Q: How does Leiga manage task creation in Vercel AI SDK?

The server exposes createtask as a tool your AI client can invoke. Your agent parses user intent and calls this tool to write data back to your project board.

Connect Leiga to Vercel AI SDK to stream live task updates and sprint data directly into your React or Next.js interfaces.

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…and any MCP-compatible client

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Connect Leiga MCP to Vercel AI SDK

Create your Vinkius account to connect Leiga 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 Leiga with Vercel AI SDK

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Real-time task tracking with Vercel AI SDK

Stop waiting for spinners. By connecting this MCP Server, your frontend consumes live task status updates the moment the agent finishes a query. Use `list_tasks` to feed your dashboard, and watch as `get_task_details` populates your UI components with zero latency.

Automated sprint planning via Vercel AI SDK

Your agent handles the heavy lifting of organizing backlogs without you writing a single manual fetch request. Trigger `create_task` directly from an input field in your app, allowing your AI client to push prioritized items into the Leiga queue instantly.

Dynamic team visibility

Show exactly who is working on what by pulling live capacity data into your custom management tools. Call `list_team_members` and `list_workflows` to map out team dependencies, giving your users a clear view of where things stand right now.

Setup guide

Set up Leiga 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 Leiga 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 Leiga 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 Leiga. 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.

Connect Leiga now

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 Leiga MCP in Vercel AI SDK

Install the necessary MCP packages and configure your client to point at the Vinkius endpoint. You'll then map the available tools into your generateText calls to start interacting with your project data.

Yes, it handles high-volume task lists efficiently. The server streams data, so your UI stays responsive even when pulling thousands of records.

Your project data remains isolated within your Vinkius sandbox. Every request requires an endpoint token, ensuring your task records aren't exposed to unauthorized clients.

It does. Since the connection uses standard HTTP transport, you can execute logic at the edge without worrying about latency or connection overhead.

The server exposes `create_task` as a tool your AI client can invoke. Your agent parses user intent and calls this tool to write data back to your project board.

Use it with your favorite AI tools

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