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Gitpod MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 26 tools to Create And Start Workspace, Create Configuration, Create Environment Variable, and more

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Gitpod 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 MCP Server for Vercel AI SDK

The Gitpod MCP Server for Vercel AI SDK is a standout in the Loved By Devs category — giving your AI agent 26 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
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 Gitpod, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* 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 Gitpod MCP Server

Connect your Gitpod account to any AI agent to orchestrate your cloud development lifecycle through natural language.

The Vercel AI SDK gives every Gitpod tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 26 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

  • Workspace Lifecycle — Create, start, stop, and delete workspaces using repository URLs or specific context IDs.
  • Organization Management — List, create, and inspect organizations and their members to manage team access.
  • Configuration & Env Vars — Manage workspace configurations and environment variables for consistent development setups.
  • Audit & Sessions — Track workspace sessions and audit logs to monitor activity within your organizations.

The Gitpod MCP Server exposes 26 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 26 Gitpod tools available for Vercel AI SDK

When Vercel AI SDK connects to Gitpod through Vinkius, your AI agent gets direct access to every tool listed below — spanning cloud-ide, development-environments, automation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create and start workspace on Gitpod

Create and start a new Gitpod workspace

create

Create configuration on Gitpod

Create a new repository configuration in Gitpod

create

Create environment variable on Gitpod

Create an environment variable for a repository configuration

create

Create organization on Gitpod

Create a new Gitpod organization

delete

Delete configuration on Gitpod

Delete a repository configuration

delete

Delete environment variable on Gitpod

Delete an environment variable

delete

Delete organization on Gitpod

Delete a Gitpod organization

delete

Delete workspace on Gitpod

Delete a Gitpod workspace

get

Get configuration on Gitpod

Get details for a specific repository configuration

get

Get organization on Gitpod

Get details for a specific Gitpod organization

get

Get organization settings on Gitpod

Get settings for a Gitpod organization

get

Get workspace on Gitpod

Get details for a specific Gitpod workspace

join

Join organization on Gitpod

Join a Gitpod organization using an invitation ID

list

List audit logs on Gitpod

List audit logs for an organization (Enterprise Only)

list

List configurations on Gitpod

List repository configurations in an organization

list

List environment variables on Gitpod

List environment variables for a repository configuration

list

List organization members on Gitpod

List members of a Gitpod organization

list

List organizations on Gitpod

List all Gitpod organizations for the authenticated user

list

List workspace sessions on Gitpod

List workspace sessions (start/stop events) in an organization

list

List workspaces on Gitpod

List workspaces in an organization

remove

Remove organization member on Gitpod

Remove a member from a Gitpod organization

start

Start workspace on Gitpod

Start an existing Gitpod workspace

stop

Stop workspace on Gitpod

Stop a running Gitpod workspace

update

Update configuration on Gitpod

Update a repository configuration

update

Update organization member on Gitpod

Update a member role in a Gitpod organization

update

Update organization settings on Gitpod

Update settings for a Gitpod organization

Connect Gitpod to Vercel AI SDK via MCP

Follow these steps to wire Gitpod into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 26 tools from Gitpod and passes them to the LLM

Why Use Vercel AI SDK with the Gitpod MCP Server

Vercel AI SDK provides unique advantages when paired with Gitpod through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Gitpod integration everywhere

03

Built-in streaming UI primitives let you display Gitpod tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Gitpod + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Gitpod MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Gitpod in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Gitpod tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Gitpod capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Gitpod through natural language queries

Example Prompts for Gitpod in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Gitpod immediately.

01

"List all my Gitpod organizations."

02

"Create and start a workspace for https://github.com/gitpod-io/gitpod."

03

"Stop the workspace with ID 'ws-abc-123'."

Troubleshooting Gitpod MCP Server with Vercel AI SDK

Common issues when connecting Gitpod to Vercel AI SDK through Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Gitpod + Vercel AI SDK FAQ

Common questions about integrating Gitpod MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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