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
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"gap-terraform-mcp-server": {
"command": "uv",
"args": [
"pip",
"install",
"fastmcp"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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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