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

Name: Terraform Cloud (HCP)
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Terraform Cloud (HCP) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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The Terraform Cloud (HCP) MCP Server for OpenAI Agents 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

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python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Terraform Cloud (HCP) Assistant",
            instructions=(
                "You help users interact with Terraform Cloud (HCP). "
                "You have access to 42 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Terraform Cloud (HCP)"
        )
        print(result.final_output)

asyncio.run(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 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 OpenAI Agents SDK auto-discovers all 42 tools from Terraform Cloud (HCP) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Terraform Cloud (HCP), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK

When OpenAI Agents 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 OpenAI Agents SDK via MCP

Follow these steps to wire Terraform Cloud (HCP) into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 42 tools from Terraform Cloud (HCP)

Why Use OpenAI Agents SDK with the Terraform Cloud (HCP) MCP Server

OpenAI Agents SDK provides unique advantages when paired with Terraform Cloud (HCP) through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Terraform Cloud (HCP) + OpenAI Agents SDK Use Cases

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

Automated workflows: build agents that query Terraform Cloud (HCP), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Terraform Cloud (HCP), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Terraform Cloud (HCP) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Terraform Cloud (HCP) to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Terraform Cloud (HCP) in OpenAI Agents SDK

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

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

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

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

Troubleshooting Terraform Cloud (HCP) MCP Server with OpenAI Agents SDK

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

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Terraform Cloud (HCP) + OpenAI Agents SDK FAQ

Common questions about integrating Terraform Cloud (HCP) MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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