TeamGantt MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create New Task, Get Account Profile, Get Project Details, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect TeamGantt through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The TeamGantt app connector for Vercel AI SDK 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 { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using TeamGantt, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every TeamGantt tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK
When Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to wire TeamGantt into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the TeamGantt MCP Server
Vercel AI SDK provides unique advantages when paired with TeamGantt through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same TeamGantt integration everywhere
Built-in streaming UI primitives let you display TeamGantt tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
TeamGantt + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the TeamGantt MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query TeamGantt in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate TeamGantt tools and return structured JSON responses to any frontend
Chatbots with tool use: embed TeamGantt capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with TeamGantt through natural language queries
Example Prompts for TeamGantt in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting TeamGantt to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTeamGantt + Vercel AI SDK FAQ
Common questions about integrating TeamGantt MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.