Forecast MCP Server for Mastra AI 6 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Forecast through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"forecast": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Forecast Agent",
instructions:
"You help users interact with Forecast " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Forecast?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Forecast MCP Server
Connect your Forecast.app account to any AI agent and take full control of your resource management and project scheduling through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Forecast tool infrastructure. Connect 6 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Project Orchestration — Retrieve the global array of all managed projects and fetch comprehensive scheduling and resource states belonging to specific project IDs natively
- Task Lifecycle Auditing — Enumerate specific physical tasks allocated under project IDs to track work completion and identify bottlenecks synchronously
- Personnel Oversight — Fetch physical identity definitions and availability constraints of global members to manage team utilization and workload limits securely
- Client Relationship Mapping — Extract explicit client relationships mapped to projects inside your account to manage stakeholder communications flawlessly
- Milestone Tracking — Identify timebox markers bounding specific sprint or deliverable targets to ensure project timelines remain within active boundaries
- Resource Allocation Discovery — Analyze specific localized variables decoding active assignments and extracting hidden structural constraints across your portfolio
- Operational Metadata retrieval — Access global account metadata and project-level attributes to verify workspace configurations natively
The Forecast MCP Server exposes 6 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Forecast to Mastra AI via MCP
Follow these steps to integrate the Forecast MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 6 tools from Forecast via MCP
Why Use Mastra AI with the Forecast MCP Server
Mastra AI provides unique advantages when paired with Forecast through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Forecast without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Forecast tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Forecast + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Forecast MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Forecast, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Forecast as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Forecast on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Forecast tools alongside other MCP servers
Forecast MCP Tools for Mastra AI (6)
These 6 tools become available when you connect Forecast to Mastra AI via MCP:
get_project
Get project details
list_clients
List clients
list_milestones
List milestones
list_people
List people
list_projects
List projects
list_tasks
List tasks
Example Prompts for Forecast in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Forecast immediately.
"List all active projects in Forecast"
"Show me the tasks for project 'API V2 Development'"
"Who is available this week for a new assignment?"
Troubleshooting Forecast MCP Server with Mastra AI
Common issues when connecting Forecast to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpForecast + Mastra AI FAQ
Common questions about integrating Forecast MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Forecast with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Forecast to Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.