Bring Infrastructure As Code
to Vercel AI SDK
Learn how to connect Terraform Cloud (HCP) to Vercel AI SDK and start using 42 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your Terraform Cloud User or Team API Token
- Start managing your cloud environments from Claude, Cursor, or any MCP-compatible client
Who is this for?
- DevOps & Platform Engineers — automate routine workspace management and run monitoring without leaving the terminal or chat.
- Cloud Architects — quickly inspect state outputs and policy compliance across multiple organizations.
- SRE Teams — troubleshoot failed runs and manage workspace locks during incident response.
Built-in capabilities (42)
Add a user to a team
Grant a team access to a workspace
Apply a planned run
Apply a variable set to a workspace
Associate a run task with a workspace
Cancel a run
Create a notification configuration for a workspace
Create a new organization
Create a policy
Create a policy set
Create a new project
Create a private registry module (No VCS)
Create a private registry provider
Create a new run (plan/apply)
Create a run task
Create a new state version
Create a new team
Create a variable set
Create a new workspace
Create a variable in a workspace
Destroy an organization
Discard a run
Execute an explorer query across workspaces
Force unlock a workspace
Get current state version for a workspace
Get JSON execution plan output
Get outputs for a state version
List organization audit events
List HCP Terraform organizations
List projects in an organization
List teams in an organization
List workspaces in an organization
Lock a workspace
Remove a user from a team
Safe delete a workspace
Show details of an apply
Show details of a specific organization
Show details of a plan
Unlock a workspace
Update an existing organization
Update a team
Upload code for a policy
Why Vercel AI SDK?
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.
- —
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 Terraform Cloud (HCP) integration everywhere
- —
Built-in streaming UI primitives let you display Terraform Cloud (HCP) 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
Terraform Cloud (HCP) in Vercel AI SDK
Terraform Cloud (HCP) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Terraform Cloud (HCP) to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Terraform Cloud (HCP) in Vercel AI SDK
The Terraform Cloud (HCP) 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. All 42 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Terraform Cloud (HCP) for Vercel AI SDK
Every tool call from Vercel AI SDK to the Terraform Cloud (HCP) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I trigger a new infrastructure deployment (run) using this server?
Yes. You can use the create_run tool by providing the Workspace ID. You can also subsequently use apply_run or discard_run to manage the lifecycle of that specific execution.
How do I see the output variables from my last successful Terraform apply?
Use the get_state_version_outputs tool with the Workspace ID. It will retrieve all calculated outputs from the current state, such as IP addresses, DNS names, or resource IDs.
Is it possible to list all workspaces across my organization?
Absolutely. Use the list_workspaces tool and provide your organization name. You can also filter the results by name or tags using optional parameters.
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.
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.
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.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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