TeamGantt MCP Server for Mastra AIGive Mastra AI instant access to 12 tools to Create New Task, Get Account Profile, Get Project Details, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect TeamGantt through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The TeamGantt app connector for Mastra AI is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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: {
"teamgantt": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "TeamGantt Agent",
instructions:
"You help users interact with TeamGantt " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with TeamGantt?"
);
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 TeamGantt MCP Server
Connect your TeamGantt account to any AI agent and simplify how you manage your project timelines, task assignments, and team resources through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and TeamGantt tool infrastructure. Connect 12 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 Oversight — List all projects in your account and retrieve detailed metadata and configuration for specific Gantt charts.
- Task Management — Create, update, and delete tasks with full control over start/end dates and completion percentages.
- Timeline Coordination — Create dependencies between tasks to ensure your project logic remains sound and automated.
- Resource Tracking — List available resources (people and equipment) to optimize team allocation across projects.
- Milestone Planning — List and query major project goals (milestones) and sub-task checklists.
- Account Visibility — Fetch your user profile and verify account configurations directly from the agent.
The TeamGantt MCP Server exposes 12 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.
All 12 TeamGantt tools available for Mastra AI
When Mastra AI connects to TeamGantt through Vinkius, your AI agent gets direct access to every tool listed below — spanning gantt-charts, project-planning, task-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add task to project
Get user info
Get project info
List sub-tasks
Get task details
g. Task A must finish before Task B starts). Create Gantt link
List users and labels
List major goals
List tasks in project
List TeamGantt projects
Delete task
). Update task status/dates
Connect TeamGantt to Mastra AI via MCP
Follow these steps to wire TeamGantt into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the TeamGantt MCP Server
Mastra AI provides unique advantages when paired with TeamGantt through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add TeamGantt 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 TeamGantt 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
TeamGantt + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the TeamGantt MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query TeamGantt, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed TeamGantt as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query TeamGantt on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using TeamGantt tools alongside other MCP servers
Example Prompts for TeamGantt in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with TeamGantt immediately.
"List all active projects in my TeamGantt account."
"Show me the tasks for 'Website Launch Q4' (ID: 10293)."
"Mark task '88231' as 100% complete."
Troubleshooting TeamGantt MCP Server with Mastra AI
Common issues when connecting TeamGantt to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpTeamGantt + Mastra AI FAQ
Common questions about integrating TeamGantt 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.