Teambition MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Teambition through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 Teambition, 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 Teambition MCP Server
Empower your AI agent to orchestrate your team's productivity with Teambition, the leading collaboration platform under Alibaba Group. By connecting Teambition to your agent, you transform complex project tracking and task assignment into a natural conversation. Your agent can instantly list your projects, create new tasks, update statuses, and even browse organization members without you ever touching the web interface. Whether you are managing a software development sprint or a marketing campaign, your agent acts as a real-time project assistant, keeping your workspace organized and your team aligned.
The Vercel AI SDK gives every Teambition tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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 Management — List all accessible projects, get detailed info, and monitor overall progress.
- Task Operations — Create, update, and track tasks with full support for descriptions, assignees, and due dates.
- Workflow Visualization — Browse task groups and stages to understand your Kanban or list-based workflows.
- Team Coordination — List project members and organization users to manage assignments effectively.
- Organization Insights — Retrieve high-level information about your Teambition organization structure.
The Teambition MCP Server exposes 10 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.
How to Connect Teambition to Vercel AI SDK via MCP
Follow these steps to integrate the Teambition MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Teambition and passes them to the LLM
Why Use Vercel AI SDK with the Teambition MCP Server
Vercel AI SDK provides unique advantages when paired with Teambition 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 Teambition integration everywhere
Built-in streaming UI primitives let you display Teambition 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
Teambition + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Teambition MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Teambition in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Teambition tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Teambition capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Teambition through natural language queries
Teambition MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Teambition to Vercel AI SDK via MCP:
create_task
Create a new Teambition task
get_org_info
Get organization details
get_project
Get Teambition project details
list_members
List project members
list_projects
List all Teambition projects
list_stages
List stages in a task group
list_task_groups
List task groups in a project
list_tasks
List tasks in a project
list_users
List organization users
update_task
Update an existing Teambition task
Example Prompts for Teambition in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Teambition immediately.
"List all my active projects on Teambition."
"Create a task in project 'Product Launch' titled 'Review landing page copy'."
"Show me the tasks for project 'Internal Audit'."
Troubleshooting Teambition MCP Server with Vercel AI SDK
Common issues when connecting Teambition to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTeambition + Vercel AI SDK FAQ
Common questions about integrating Teambition 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.Connect Teambition 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 Teambition to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.