What are the prerequisites to use GCP Terraform MCP Server?
You need `uv`, Python 3.10, the Terraform CLI, Checkov, and GCP authentication (gcloud CLI recommended).
@Kamalesh-Seervi
基本情報
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"gap-terraform-mcp-server": {
"command": "uv",
"args": [
"pip",
"install",
"fastmcp"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
A Model Context Protocol (MCP) server that provides Terraform best practices, infrastructure as code patterns, and security compliance with Checkov for Google Cloud Platform (GCP). It is designed for developers and DevOps engineers building and managing GCP infrastructure with Terraform.
Install the server using uv and add its configuration to your MCP client (e.g., VS Code, GitHub Copilot Chat). Then invoke any of the available tools—such as terraform_workflow_guide, terraform_init, or terraform_run_checkov—via the MCP interface.
You need `uv`, Python 3.10, the Terraform CLI, Checkov, and GCP authentication (gcloud CLI recommended).
Install `uv`, then run `uvx gcp-terraform-mcp-server@latest` or install the package with pip. You may also need to install FastMCP separately using `uv add fastmcp`.
Use the FastMCP CLI: `fastmcp run src/gcp_terraform_mcp_server/main.py:mcp` for stdio transport, or add `--transport sse --host 0.0.0.0 --port 8080` for SSE mode.
Yes. Add the server configuration to your VS Code `settings.json` as shown in the README, then use the commands in the Copilot Chat panel.
Follow the structured development workflow, review all Checkov warnings manually, fix security issues when possible, document exceptions, and conduct your own independent assessment before applying changes to production.

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