4,000+ servers built on vurb.ts
Vinkius

Terraform Cloud (HCP) MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 42 tools to Add Team User, Add Team Workspace Access, Apply Run, and more

MCP Inspector GDPR Free for Subscribers

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Terraform Cloud (HCP) 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 Terraform Cloud (HCP) MCP Server for Vercel AI SDK is a standout in the Ship It category — giving your AI agent 42 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

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
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 Terraform Cloud (HCP), list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Terraform Cloud (HCP)
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 Terraform Cloud (HCP) MCP Server

Connect your Terraform Cloud (HCP) account to any AI agent to orchestrate your Infrastructure as Code (IaC) workflows through natural language. This server provides comprehensive access to the HCP Terraform API, allowing for seamless management of the entire infrastructure lifecycle.

The Vercel AI SDK gives every Terraform Cloud (HCP) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 42 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

  • Organization & Project Management — List, create, and inspect organizations and projects to maintain high-level governance.
  • Workspace Operations — Query workspaces, manage locks, and configure VCS integrations for automated deployments.
  • Run & Plan Lifecycle — Trigger new runs, apply or discard plans, and monitor the progress of infrastructure changes in real-time.
  • State & Outputs — Retrieve current state versions and extract specific output values to use in downstream automation or analysis.
  • Governance & Security — Manage teams, access controls, variable sets, and Sentinel/OPA policies directly via the agent.

The Terraform Cloud (HCP) MCP Server exposes 42 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 42 Terraform Cloud (HCP) tools available for Vercel AI SDK

When Vercel AI SDK connects to Terraform Cloud (HCP) through Vinkius, your AI agent gets direct access to every tool listed below — spanning infrastructure-as-code, provisioning, workspace-management, 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.

add

Add team user on Terraform Cloud (HCP)

Add a user to a team

add

Add team workspace access on Terraform Cloud (HCP)

Grant a team access to a workspace

apply

Apply run on Terraform Cloud (HCP)

Apply a planned run

apply

Apply variable set to workspace on Terraform Cloud (HCP)

Apply a variable set to a workspace

associate

Associate run task to workspace on Terraform Cloud (HCP)

Associate a run task with a workspace

cancel

Cancel run on Terraform Cloud (HCP)

Cancel a run

create

Create notification configuration on Terraform Cloud (HCP)

Create a notification configuration for a workspace

create

Create organization on Terraform Cloud (HCP)

Create a new organization

create

Create policy on Terraform Cloud (HCP)

Create a policy

create

Create policy set on Terraform Cloud (HCP)

Create a policy set

create

Create project on Terraform Cloud (HCP)

Create a new project

create

Create registry module on Terraform Cloud (HCP)

Create a private registry module (No VCS)

create

Create registry provider on Terraform Cloud (HCP)

Create a private registry provider

create

Create run on Terraform Cloud (HCP)

Create a new run (plan/apply)

create

Create run task on Terraform Cloud (HCP)

Create a run task

create

Create state version on Terraform Cloud (HCP)

Create a new state version

create

Create team on Terraform Cloud (HCP)

Create a new team

create

Create variable set on Terraform Cloud (HCP)

Create a variable set

create

Create workspace on Terraform Cloud (HCP)

Create a new workspace

create

Create workspace variable on Terraform Cloud (HCP)

Create a variable in a workspace

destroy

Destroy organization on Terraform Cloud (HCP)

Destroy an organization

discard

Discard run on Terraform Cloud (HCP)

Discard a run

explorer

Explorer query on Terraform Cloud (HCP)

Execute an explorer query across workspaces

force

Force unlock workspace on Terraform Cloud (HCP)

Force unlock a workspace

get

Get current state version on Terraform Cloud (HCP)

Get current state version for a workspace

get

Get plan json on Terraform Cloud (HCP)

Get JSON execution plan output

get

Get state version outputs on Terraform Cloud (HCP)

Get outputs for a state version

list

List audit events on Terraform Cloud (HCP)

List organization audit events

list

List organizations on Terraform Cloud (HCP)

List HCP Terraform organizations

list

List projects on Terraform Cloud (HCP)

List projects in an organization

list

List teams on Terraform Cloud (HCP)

List teams in an organization

list

List workspaces on Terraform Cloud (HCP)

List workspaces in an organization

lock

Lock workspace on Terraform Cloud (HCP)

Lock a workspace

remove

Remove team user on Terraform Cloud (HCP)

Remove a user from a team

safe

Safe delete workspace on Terraform Cloud (HCP)

Safe delete a workspace

show

Show apply on Terraform Cloud (HCP)

Show details of an apply

show

Show organization on Terraform Cloud (HCP)

Show details of a specific organization

show

Show plan on Terraform Cloud (HCP)

Show details of a plan

unlock

Unlock workspace on Terraform Cloud (HCP)

Unlock a workspace

update

Update organization on Terraform Cloud (HCP)

Update an existing organization

update

Update team on Terraform Cloud (HCP)

Update a team

upload

Upload policy code on Terraform Cloud (HCP)

Upload code for a policy

Connect Terraform Cloud (HCP) to Vercel AI SDK via MCP

Follow these steps to wire Terraform Cloud (HCP) 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 42 tools from Terraform Cloud (HCP) and passes them to the LLM

Why Use Vercel AI SDK with the Terraform Cloud (HCP) MCP Server

Vercel AI SDK provides unique advantages when paired with Terraform Cloud (HCP) 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 Terraform Cloud (HCP) integration everywhere

03

Built-in streaming UI primitives let you display Terraform Cloud (HCP) 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

Terraform Cloud (HCP) + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Terraform Cloud (HCP) MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Terraform Cloud (HCP) in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Terraform Cloud (HCP) tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Terraform Cloud (HCP) capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Terraform Cloud (HCP) through natural language queries

Example Prompts for Terraform Cloud (HCP) in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Terraform Cloud (HCP) immediately.

01

"List all organizations I have access to in Terraform Cloud."

02

"Show me all workspaces in the 'Acme-Corp' organization that have the tag 'production'."

03

"Get the output values for workspace ws-K9j2L8mP1."

Troubleshooting Terraform Cloud (HCP) MCP Server with Vercel AI SDK

Common issues when connecting Terraform Cloud (HCP) to Vercel AI SDK through Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Terraform Cloud (HCP) + Vercel AI SDK FAQ

Common questions about integrating Terraform Cloud (HCP) 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.

Explore More MCP Servers

View all →