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How to Use the Motion (AI Calendar & Task Management) MCP in Vercel AI SDK

Build real-time scheduling interfaces in React by connecting Vercel AI SDK directly to Motion.

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Connect Motion (AI Calendar & Task Management) MCP to Vercel AI SDK

Create your Vinkius account to connect Motion (AI Calendar & Task Management) 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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Stream MCP Server Data to React

The `get_schedule` tool pulls the AI-optimized timeline for a specific workspace. You pipe this directly through the Vercel AI SDK into your Next.js frontend, rendering calendar blocks instantly as the LLM processes them. Users don't wait for a spinner while the agent checks their day. You call `list_tasks` with status filters, and the results stream straight into your custom UI components.

Mutate Tasks Without Full Reloads

The `create_task` tool inserts a new item into Motion that the AI auto-schedules. Because you manage this via an MCP connection, your frontend can optimistically update the UI while the server confirms the calendar placement. If a user needs to change a parameter, your agent fires `update_task`. You handle the tool call, execute the change, and stream the confirmation text back to the user in milliseconds.

Workspace and Project Routing

The `list_workspaces` tool returns every environment the authenticated user can access. Your agent uses this to ask the user where a new project belongs before executing `create_project`. When a task ends up in the wrong bucket, `move_task` assigns it a different workspace target. Your interface reflects the structural shift immediately using the SDK's tool execution callbacks.

Setup guide

Set up Motion (AI Calendar & Task Management) 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 Motion (AI Calendar & Task Management) 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 Motion (AI Calendar & Task Management) 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 Motion. 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.

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Common questions about Motion (AI Calendar & Task Management) MCP in Vercel AI SDK

Run `npm install ai @ai-sdk/mcp`. Configure `createMCPClient` with an HTTP transport pointing to your Vinkius endpoint. Call `mcpClient.tools()` and pass the array to `streamText`.
Yes. When your agent calls `get_task` to pull specific details, the Vercel AI SDK streams the resulting JSON back to your frontend. The user reads the task parameters as they arrive.
Vinkius manages the underlying OAuth flow. You just pass your endpoint token via the `authProvider` in your MCP setup. The client handles the rest.
Always call `mcpClient.close()` when your route handler finishes. Leaving connections open after running a tool call leads to memory leaks on edge functions.
This server reads and modifies workspace IDs, task descriptions, and calendar timelines. Vinkius isolates these operations inside a zero-trust V8 sandbox, ensuring your scheduling data never leaks across tenant boundaries.

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