How to Use the Forecast MCP in Mastra AI

Build complex project workflows in Mastra AI by connecting your Forecast data to automated agents.

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…and any MCP-compatible client

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Connect Forecast MCP to Mastra AI

Create your Vinkius account to connect Forecast to Mastra AI 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 Mastra AI

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Automate Forecast Tasks in Mastra AI

Chain together `list_tasks` and `list_projects` to build agents that handle your project backlog. Define your logic once and let the engine execute it. If a task hits a bottleneck, your agent can flag it for review. This keeps your project flow moving without constant manual oversight.

Coordinate Teams with Mastra AI

Use `list_people` to assign work based on availability. Your Mastra AI agent checks who is free and updates your internal records accordingly. This ensures your resource planning stays accurate. It eliminates the guessing game when you need to staff a new project phase.

Monitor Milestones in Mastra AI

Set up triggers using `list_milestones` to catch delays early. Your agent can alert you the moment a milestone status changes in Forecast. This proactive approach saves you from surprise deadline shifts. Build your workflow to notify you or adjust plans automatically when dates move.

Setup guide

Set up Forecast MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Forecast tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "forecast-mcp-client",
  servers: {
    "forecast-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Forecast Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Forecast tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Forecast transactions"
);
console.log(result.text);

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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 Mastra AI

Add the server to your agent configuration. Your agents will then see all tools and can use them in any workflow step.

Yes. You can define retry logic for any tool call. If an API request fails, the agent handles the retry based on your specified rules.

Absolutely. Use the requireToolApproval setting to ensure a human checks the agent's proposed plan before it executes.

All traffic flows through an authenticated, encrypted channel. Your sensitive workspace info is never exposed beyond the necessary API calls.

The server only touches your project tasks, milestones, and personnel lists. It does not access your billing or private account settings.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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