Terraform
Free foreverhashicorp · Dev Tools
28k installs
The Terraform MCP server brings infrastructure-as-code management directly into any AI agent's workflow, letting Claude, GPT, Gemini, or your own custom agent plan, apply, and manage cloud infrastructure through natural language instructions instead of manual CLI invocations. Rather than context-switching between terminal windows and chat interfaces, teams can ask an agent to draft a Terraform plan, review proposed changes for a VPC or Kubernetes cluster, or apply a module update — all through a governed, auditable MCP connection. This is especially valuable for DevOps and platform engineering teams who want AI-assisted infrastructure changes without giving up the safety and repeatability that declarative IaC provides.
Hosted through BusinessMCP.com, the Terraform MCP server becomes one of many tools unified inside a single /api/mcp endpoint alongside your other DevOps, cloud, and observability integrations. Instead of standing up and maintaining a bespoke Terraform MCP server yourself — managing state file access, credentials, and uptime — you connect it once through our managed MCP hosting and expose it to any model-agnostic AI agent with a Bearer mcph_* key. The BI dashboard layered on top gives visibility into which agents are running which infrastructure operations, when plans were generated, and how often applies succeed or fail, turning ad-hoc AI-driven IaC into something your team can actually monitor and govern.
Common patterns include using an agent to draft Terraform plans for new environments based on a ticket description, having AI review diffs before a human approves the apply step, or querying current infrastructure state to answer questions like
Just say it in a thread
No configs, no docs. Once connected, these are the kinds of messages your agents act on.
"Runs terraform plan against a given configuration and returns a summary of proposed changes — and give me the highlights."
"Applies a previously generated terraform plan to update cloud infrastructure for me, then post a summary in the thread."
"Lists all infrastructure resources currently tracked in terraform state and flag anything that needs my approval."
What teams use it for
- Draft and review a Terraform plan for a new staging environment before applying it
- Ask an AI agent to summarize infrastructure drift between current state and the last apply
- Automate routine module updates (e.g., bumping a provider version) with agent-reviewed diffs
- Query which cloud resources are tagged, orphaned, or scheduled for teardown
- Correlate a recent Terraform apply with downstream errors surfaced in Sentry or Datadog
Agent-callable tools
generate_terraform_plan
Runs terraform plan against a given configuration and returns a summary of proposed changes.
apply_terraform_changes
Applies a previously generated Terraform plan to update cloud infrastructure.
list_managed_resources
Lists all infrastructure resources currently tracked in Terraform state.
detect_infrastructure_drift
Compares live cloud resources against Terraform state to identify drift.
validate_configuration
Checks Terraform configuration files for syntax and logical errors before planning.
import_existing_resource
Imports an existing cloud resource into Terraform state for management.
destroy_resources
Tears down specified infrastructure resources managed by a Terraform configuration.
Your data stays yours
Credentials live in your vault. We route requests — we never store, log, or train on your data.
Works with every AI
Connect once — portable across Claude, GPT, Gemini, and every local agent you run.
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Frequently asked questions
Do I need to run my own Terraform MCP server infrastructure?
No — BusinessMCP manages the hosted Terraform MCP server for you, so you connect once and access it through the /api/mcp endpoint with a Bearer mcph_* key.
Can any AI agent use this Terraform integration?
Yes, it's model-agnostic and works with Claude, GPT, Gemini, or any agent that speaks MCP, whether accessed via the growth-suite app or your own API integration.
Does the Terraform MCP server apply infrastructure changes automatically?
It exposes plan and apply capabilities that agents can call, but teams typically configure review steps so changes are inspected before being applied to production.
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