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Height (Project Management) MCP Server for Mastra AI 6 tools — connect in under 2 minutes

Built by Vinkius GDPR 6 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Height (Project Management) through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
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: {
      "height-project-management": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Height (Project Management) Agent",
    instructions:
      "You help users interact with Height (Project Management) " +
      "using 6 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Height (Project Management)?"
  );
  console.log(result.text);
}

main();
Height (Project Management)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Height (Project Management) MCP Server

Connect your Height workspace to any AI agent and take full control of your project management workflow through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Height (Project Management) tool infrastructure. Connect 6 tools through the 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

  • Task Management — List, retrieve, and inspect tasks with their full metadata and structural details directly from your agent
  • Lists & Grouping — Discover and manage high-level grouping constructs and lists to organize your workspace effectively
  • Workspace Audit — Extract explicit workspace domains and user credentials linked to your account for quick audits
  • Activity Tracking — Access full audit trails and activity logs for any task to monitor its history and state mutations
  • Team Collaboration — Fetch and map registered teammates and user identities across the organization securely

The Height (Project Management) 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 Height (Project Management) to Mastra AI via MCP

Follow these steps to integrate the Height (Project Management) MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 6 tools from Height (Project Management) via MCP

Why Use Mastra AI with the Height (Project Management) MCP Server

Mastra AI provides unique advantages when paired with Height (Project Management) through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Height (Project Management) without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Height (Project Management) tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure

Height (Project Management) + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Height (Project Management) MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Height (Project Management), process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Height (Project Management) as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Height (Project Management) on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Height (Project Management) tools alongside other MCP servers

Height (Project Management) MCP Tools for Mastra AI (6)

These 6 tools become available when you connect Height (Project Management) to Mastra AI via MCP:

01

get_task

Get task

02

list_activities

List activities

03

list_lists

List lists

04

list_tasks

List tasks

05

list_users

List users

06

workspace

Get workspace

Example Prompts for Height (Project Management) in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Height (Project Management) immediately.

01

"List all tasks in my 'Product Roadmap' list"

02

"Show me the recent activity for task T-102"

03

"What are the details for task T-108?"

Troubleshooting Height (Project Management) MCP Server with Mastra AI

Common issues when connecting Height (Project Management) to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Height (Project Management) + Mastra AI FAQ

Common questions about integrating Height (Project Management) MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Height (Project Management) to Mastra AI

Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.