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Terraform Cloud (HCP) MCP Server for Google ADKGive Google ADK instant access to 42 tools to Add Team User, Add Team Workspace Access, Apply Run, and more

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Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Terraform Cloud (HCP) as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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The Terraform Cloud (HCP) MCP Server for Google ADK 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
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="terraform_cloud_hcp_agent",
    instruction=(
        "You help users interact with Terraform Cloud (HCP) "
        "using 42 available tools."
    ),
    tools=[mcp_tools],
)
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.

Google ADK natively supports Terraform Cloud (HCP) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 42 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK

When Google ADK 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 Google ADK via MCP

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

01

Install Google ADK

Run pip install google-adk
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Create the agent

Save the code above and integrate into your ADK workflow
04

Explore tools

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

Why Use Google ADK with the Terraform Cloud (HCP) MCP Server

Google ADK provides unique advantages when paired with Terraform Cloud (HCP) through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Terraform Cloud (HCP)

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Terraform Cloud (HCP) tools with BigQuery, Vertex AI, and Cloud Functions

Terraform Cloud (HCP) + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Terraform Cloud (HCP) MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Terraform Cloud (HCP) and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Terraform Cloud (HCP) tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Terraform Cloud (HCP) regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Terraform Cloud (HCP)

Example Prompts for Terraform Cloud (HCP) in Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting Terraform Cloud (HCP) to Google ADK through Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Terraform Cloud (HCP) + Google ADK FAQ

Common questions about integrating Terraform Cloud (HCP) MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

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