原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

OpenTofu Test

作者:ogormans-deptstack版本 0.1.0i★ –i在你的电脑上运行
注册名称io.github.ogormans-deptstack/opentofu-test

安装

概览

作者提供的说明(英文原文)

MCP server for the OpenTofu/Terraform native test framework: scaffold, mock, validate, run tests

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 开发者工具

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "opentofu-test": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/ogormans-deptstack/opentofu-test-mcp:0.1.0"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add opentofu-test -- docker run -i --rm ghcr.io/ogormans-deptstack/opentofu-test-mcp:0.1.0

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "opentofu-test": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/ogormans-deptstack/opentofu-test-mcp:0.1.0"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "opentofu-test": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/ogormans-deptstack/opentofu-test-mcp:0.1.0"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 ogormans-deptstack 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 1390 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1390 个服务器的 72% 更新
  • 基础检查结果等于或优于此分类中其他 1390 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

OpenTofu Test 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.0)于18天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Docker。

有什么可以替代它?

同一分类中有:GitHub, Desktop Commander, Cloudflare MCP

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

GitHub

作者:github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

电脑或云端★ 34,245MIT3天前更新
安装

Desktop Commander

作者:wonderwhy-er

MCP server for terminal commands, file operations, and process management

在你的电脑上运行★ 10,225MIT15天前更新
安装

Cloudflare MCP

作者:cloudflare

Cloudflare MCP servers

在云端运行★ 4,446Apache-2.014个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

opentofu-test-mcp

An MCP server for the OpenTofu / Terraform native test framework (.tftest.hcl / .tfmock.hcl).

LLM agents are good at writing Terraform but routinely produce broken run, assert, and mock_provider blocks because the test-framework grammar is small but unforgiving. This server gives an agent the exact block reference, scaffolds tests from a module's real variables and outputs, generates mock providers from the installed provider schema, validates test files statically, and runs the suite — so the agent can author and check tests without guessing.

It drives the tofu CLI when present and falls back to terraform.

Tools

ToolWhat it does
tf_explain_test_schemaReference + example for a test-framework block (run, assert, mock_provider, expect_failures, …). Empty topic returns an overview. No CLI needed.
tf_scaffold_testReads a module's variables and outputs and generates a .tftest.hcl starter with a run block, assertions per output, and placeholders for required variables.
tf_gen_mock_providerRuns providers schema -json on an initialized module and emits a mock_provider block with mock_resource defaults pre-filled for computed attributes.
tf_validate_testStatically checks a .tftest.hcl (by path or raw content): invalid command, asserts missing condition/error_message, duplicate run names, no run blocks. Does not run OpenTofu.
tf_run_testsRuns tofu test -json and returns a condensed pass/fail summary with per-run status.

Install

go install github.com/ogormans-deptstack/opentofu-test-mcp@latest

Requires tofu (preferred) or terraform on PATH for the schema- and run-backed tools. tf_explain_test_schema and tf_validate_test work without either.

Prebuilt binaries for macOS, Linux, and Windows (amd64/arm64) are distributed with checksums on GitHub Releases. Native binaries still need a separately installed OpenTofu or Terraform CLI.

Container

The release workflow publishes an image with OpenTofu included:

docker run --rm -i -v "$PWD:/workspace" \

ghcr.io/ogormans-deptstack/opentofu-test-mcp:0.1.0

Use -i, not -t: stdio must remain an unmodified JSON-RPC stream. Module paths passed to tools must be container paths, such as /workspace, not host paths. Only mount modules you trust: native tests can apply real infrastructure and execute provider code. The image does not inherit host cloud credentials.

Configure (client)

{

"mcpServers": { "opentofu-test": { "command": "opentofu-test-mcp" } } }

For Docker, configure command as docker and args as ["run", "--rm", "-i", "-v", "/absolute/module/path:/workspace", "ghcr.io/ogormans-deptstack/opentofu-test-mcp:0.1.0"].

Example

Ask the agent to "scaffold a test for this module and run it":

  1. tf_scaffold_test { "dir": "." } → a .tftest.hcl skeleton.
  2. tf_gen_mock_provider { "dir": "." } → mock_provider blocks (module must be initialized).
  3. tf_validate_test { "path": "main.tftest.hcl" } → structural problems, if any.
  4. tf_run_tests { "dir": "." } → passed=1 failed=0 errored=0 skipped=0.

Development

go test ./...

go vet ./...

Automated MCP checks with Inspector

Requires Node.js 22.19+, Go, and OpenTofu 1.13.1 on PATH. Inspector is pinned in package-lock.json; Node is development tooling, not a server runtime dependency.

npm ci

go build -o dist/opentofu-test-mcp . npm run test:mcp

This launches the built server through the Inspector CLI over real stdio. It checks initialization, the exact five-tool inventory, portable input schemas (tools/list --strict), structured output, all five tools, a missing-input error, and both passing and deliberately failing native tests. Fixtures use OpenTofu's built-in terraform_data provider, so no cloud credentials or provider downloads are needed. The failing fixture is intentional. Tests work in a temporary copy and use an in-memory Inspector secret store.

To check the container with the same suite:

docker build -t opentofu-test-mcp:local .

MCP_IMAGE=opentofu-test-mcp:local npm run test:mcp

To check another build, set MCP_SERVER=/absolute/path/to/opentofu-test-mcp. CI runs both native and container smoke tests in addition to Go race tests.

For individual checks or interactive debugging:

# Machine-readable tool inventory; non-zero on schema portability errors.

npx --no-install @modelcontextprotocol/inspector --cli ./dist/opentofu-test-mcp \ --method tools/list --strict --format json --stored-auth-only

A single tool call, without starting a browser.

npx --no-install @modelcontextprotocol/inspector --cli ./dist/opentofu-test-mcp \ --method tools/call --tool-name tf_explain_test_schema \ --tool-args-json '{"topic":"run"}' --format json --stored-auth-only

Web Inspector for inspecting requests, responses, and schemas.

npm run inspect

Before contributing an MCP change, reproduce the behavior using a disposable fixture, add assertions for the regression and its error path, then run the Go and Inspector suites. Assert the JSON result, not just process exit status: Inspector exits 5 for isError: true and 6 for strict schema failures, but a valid tf_validate_test response with valid: false or a native test summary with failed > 0 still exits successfully. Inspector checks complement, not replace, unit tests; they do not prove semantic correctness of every Terraform expression or compatibility with every MCP client.

The Inspector documentation also describes the TUI and experimental mcpdo persistent connection client. The CLI is sufficient for this server's stateless requests; use a persistent client for future session-dependent flows. The pinned CLI defaults to the legacy protocol era, matching the server SDK; do not force modern-era negotiation without upgrading and testing the server first. Keep the web UI's default loopback binding and authentication enabled, and do not put secrets in fixture files or captured transcripts.

Releasing

  1. Update server.json's top-level version and OCI identifier tag together. Commit the changes and wait for CI on that commit.
  2. Tag that tested commit (for example git tag v0.1.0) and push the tag. .github/workflows/release.yml refuses mismatched versions and reruns CI.
  3. The workflow builds six native archives with checksums, creates a GitHub release, and publishes a Linux amd64/arm64 OCI image. The image embeds the release version and the MCP Registry ownership label io.modelcontextprotocol.server.name.
  4. On the first release, GitHub may create the GHCR package as private. Change its package settings to public, then rerun failed workflow jobs. The workflow checks anonymous image access before registry publication.
  5. The final job validates server.json and publishes it using GitHub Actions OIDC (id-token: write), without a long-lived registry secret.

Registry publishing follows the official OCI package requirements and GitHub Actions guide. The registry hosts metadata, not the binary or image, so the package must be publicly available first. Do not submit a PR to the registry repository.

OCI package entries must not contain registryBaseUrl, version, or fileSha256; the full registry and version belong in identifier. The publisher's validate command does not perform every package-specific check that publish does, so the smoke suite checks those constraints too.

To retry registry publication after a metadata-only correction without moving the release tag or rebuilding artifacts, push the correction and dispatch the registry-only workflow: gh workflow run publish-mcp.yml --ref main. It checks the existing public image and uses OIDC, just like the tag-triggered release.

For registry publication outside Actions:

mcp-publisher validate server.json

mcp-publisher login github mcp-publisher publish server.json curl --fail --get 'https://registry.modelcontextprotocol.io/v0.1/servers' \ --data-urlencode 'search=io.github.ogormans-deptstack/opentofu-test'

Authenticate as ogormans-deptstack (or an authorized namespace owner), not an unrelated GitHub account. To build native archives locally without publishing: bash scripts/build-release.sh 0.1.0.

License

MIT — see LICENSE.

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