Safety-first Terraform: confirmation-gated apply/destroy, risk & cost analysis, drift detection
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io.github.RajeevSirohi/mcp-server-terraform is an MCP server that safety-first Terraform: confirmation-gated apply/destroy, risk & cost analysis, drift detection. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 79/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"terraform": {
"args": [
"-y",
"@rajsir/mcp-server-terraform"
],
"command": "npx"
}
}
}Are you the author?
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Safety-first Terraform: confirmation-gated apply/destroy, risk & cost analysis, drift detection
Run this in your terminal to verify the server starts. Then let us know if it worked - your result helps other developers.
npx -y '@rajsir/mcp-server-terraform' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories - click any category to see the underlying evidence.
No known CVEs.
Checked @rajsir/mcp-server-terraform against OSV.dev.
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A Model Context Protocol (MCP) server that lets Claude manage Terraform infrastructure through natural language.
Run plans, apply changes, inspect state, and diagnose failures — all from a Claude conversation.
Instead of switching to a terminal to run terraform plan, you can ask Claude:
"Plan the changes in
/infra/stagingand explain what will change"
"Apply it — but only if no resources will be destroyed"
"Show me all the outputs from the prod workspace"
"Something broke after the last apply — diagnose it"
The server translates these into real terraform CLI commands on your machine, with a built-in safety confirmation flow before any destructive operation runs.
| Tool | Description | Destructive |
|---|---|---|
tf_init | Initialize a Terraform working directory | No |
tf_validate | Validate configuration syntax | No |
tf_plan | Run a plan and return the diff + risk/cost summary | No |
tf_apply | Apply changes (requires confirmed: true) | Yes |
tf_destroy | Destroy infrastructure (requires confirmed: true) | Yes |
tf_output | Read output values from state | No |
tf_state | List, show, move, or remove state entries | Partial |
tf_workspace | List, show, select, or create workspaces | No |
tf_preflight | Check provider CLI authentication before running | No |
tf_drift | Detect resources changed outside Terraform | No |
tf_resource | Import, taint, untaint, or refresh resources | Yes |
Every plan (and every apply preview) is analyzed via terraform show -json and
annotated with a structured summary — destroyed resources are called out, and
always-on resources that commonly cause bill shock are flagged with rough
monthly costs:
── Plan Summary ──
+ 3 create, ~ 1 update, - 0 destroy, ± 0 replace
💸 EXPENSIVE — always-on resources being created:
⚠ aws_nat_gateway.main (~$32/month + data processing if left running)
Remember to tf_destroy when you're done experimenting.
Cost-flagged resource types include NAT gateways, load balancers, EKS/AKS/GKE control planes, RDS/Cloud SQL instances, ElastiCache, Redshift, MSK, and Azure Firewall (~$900/month!).
tf_drift runs a refresh-only plan and reports resources that were changed
outside Terraform (e.g. manually in the cloud console), with the changed
attribute names and remediation options.
Set AUDIT_LOG_PATH to a file path and every tool call is appended as a JSON
line with timestamp, tool name, outcome, and duration. Variable values are
always redacted (db_password=<redacted>) — only names are logged.
tf_apply and tf_destroy use a two-step safety flow:
confirmed) → runs terraform plan, shows the diff, does nothing elseconfirmed: true) → actually applies or destroysClaude is instructed to never pass confirmed: true without first presenting the plan to you.
The server exposes a /tf-diagnose prompt that guides Claude through a systematic 5-step diagnosis of plan or apply failures.
No install needed — run it straight from npm:
npx @rajsir/mcp-server-terraform
Or, for development, from source