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
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"gap-terraform-mcp-server": {
"command": "uv",
"args": [
"pip",
"install",
"fastmcp"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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