How to Use the Forecast MCP in Vercel AI SDK

Stream real-time project data from Forecast directly into your Vercel AI SDK frontends for live resource visibility.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Forecast MCP to Vercel AI SDK

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

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Live Project Data in Vercel AI SDK

Feed your UI with live project metrics using the `get_project` and `list_projects` tools. Your interface updates as the AI fetches data, skipping the dead weight of traditional loading states. This integration allows your components to render project health immediately. Use `list_tasks` to populate task lists that respond to user queries in real-time.

Manage Team and Client Data

Coordinate your resource planning by pulling data from `list_people` and `list_clients` directly into your application state. Your AI client pulls the right contact details without manual lookups. Keep your dashboard current by mapping these calls to your internal state management. It removes the friction of switching tabs to check on client availability or staff assignments.

Track Milestones with Forecast

Monitor your project delivery dates by exposing `list_milestones` to your agents. Your application can now trigger alerts or UI updates based on upcoming deadlines automatically. Visualizing these dates helps your team stay on track. Integrate these tools to keep your project timeline clear for every stakeholder using your product.

Setup guide

Set up Forecast 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 Forecast 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 Forecast 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 Forecast. 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 Forecast 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 Forecast MCP in Vercel AI SDK

Connect the server via the HTTP transport in your configuration. Once connected, pass the tools to your streamText function to let the AI fetch data on the fly.

Yes. The tools return raw data that you can map to your React or Next.js components. The AI calls the function and your UI reacts to the payload.

You just need the endpoint URL and your token. Install the MCP client package, instantiate the connection, and your tools are ready for use.

Vinkius handles the auth layer securely. Your API key remains on our side, and your client only talks to our authenticated endpoint.

This server only grants access to your project metadata, task lists, and team schedules. No other workspace data is visible to the agent.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.