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제작자가 쓴 설명(영어 원문)
FoggyKitchen Terraform/OpenTofu blueprints, landing zones, modules, and labs.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://foggykitchen.com/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http foggykitchen https://foggykitchen.com/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"foggykitchen": {
"url": "https://foggykitchen.com/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"foggykitchen": {
"type": "http",
"url": "https://foggykitchen.com/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://foggykitchen.com/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 foggykitchen 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.3.2)은 3개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: GitHub, Desktop Commander, Cloudflare MCP
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Bring FoggyKitchen cloud architecture context directly into the AI coding tool you already use.
FoggyKitchen MCP gives compatible AI coding agents controlled access to FoggyKitchen Terraform/OpenTofu modules, implementation examples, architecture patterns, landing-zone guidance, and entitlement-aware technical catalog resources.
It is designed for engineers working with Azure, Oracle Cloud Infrastructure, Terraform/OpenTofu, AKS, OKE, cloud networking, private connectivity, landing zones, and multicloud architectures.
FoggyKitchen MCP is not another hosted LLM, a Terraform execution service, or a generic documentation search engine. It is an entitlement-aware context layer between FoggyKitchen technical assets and your own AI coding agent.
Professional+ required for FoggyKitchen technical catalog MCP access.
Users authenticate with FoggyKitchen. Available MCP capabilities depend on workspace plan and entitlements. Starter remains focused on self-study and platform access; Professional+ enables technical catalog MCP access for compatible AI coding clients.
Help the AI agent locate reviewed FoggyKitchen modules by cloud, architecture intent, topic, repository, and implementation context. The goal is to lead the agent toward an existing FoggyKitchen building block before generating generic infrastructure code from scratch.
Use FoggyKitchen context for scenarios such as Azure hub-and-spoke, Azure Firewall transit, private AKS, OCI VCN architecture, private OKE, Autonomous Database private access, OCI landing zones, private endpoints, routing, and OCI <-> Azure connectivity.
Allow the AI client to discover labs, examples, and implementation scenarios so it can point engineers toward working usage patterns rather than only generic documentation.
FoggyKitchen MCP helps Codex and Claude Code reason about architecture decisions, module selection, implementation paths, networking trade-offs, and deployment structure while the engineer stays in the coding workflow.
FoggyKitchen MCP returns only assets and capabilities available to the authenticated FoggyKitchen workspace. Professional+ is currently the entry point for technical catalog MCP access.
Use FoggyKitchen MCP.
Design an Azure hub-and-spoke architecture with Azure Firewall, private AKS and centralized egress.
First identify relevant FoggyKitchen modules or architecture assets, then explain the implementation approach.
Use FoggyKitchen MCP.
I need a private OKE cluster in OCI.
Find the relevant FoggyKitchen networking and OKE assets and propose the VCN, subnet, routing and private access architecture before generating code.
Use FoggyKitchen MCP.
Review my Terraform architecture for Azure private networking.
Identify architectural risks, routing problems and missing private connectivity patterns, and relate your recommendations to FoggyKitchen resources where possible.
Use FoggyKitchen MCP.
Resolve the architecture for an Azure firewall transit landing zone.
Prefer FoggyKitchen landing-zone or blueprint assets over generic examples.
Use FoggyKitchen MCP.
Help me design private OCI-to-Azure connectivity.
Identify relevant FoggyKitchen architecture patterns and explain the routing, DNS and security decisions I need to make.
Engineer
| v Codex / Claude Code | v FoggyKitchen MCP | v Modules . Labs . Blueprints . Architecture Guidance | v Architecture decision / implementation
FoggyKitchen MCP provides context. The AI client remains responsible for reasoning and code generation, and the engineer remains responsible for review.
Codex and Claude Code authenticate to FoggyKitchen through OAuth/PKCE. Personal MCP Tokens remain available only as a fallback for legacy or unsupported clients.
FoggyKitchen technical catalog context becomes available directly in the Codex workflow.
Claude Code can connect to FoggyKitchen MCP and return to the coding session with FoggyKitchen resources available to the agent.
A generic AI coding model can produce Terraform code.
FoggyKitchen MCP adds curated FoggyKitchen implementation context:
The goal is not to replace model reasoning. The goal is to give the model better domain context before it makes infrastructure decisions.
MCP gives the AI agent access to FoggyKitchen resources and technical catalog context.
Skills teach the agent when and how to apply specialized FoggyKitchen workflows. This repository includes the FoggyKitchen skill, which routes Codex or Claude Code toward FoggyKitchen context for Terraform/OpenTofu, Azure networking, OCI networking, AKS, OKE, Autonomous Database, hub-spoke, private endpoint, landing-zone, and multicloud interconnect work.
Skills do not replace authentication or entitlement checks. The MCP server still controls what resources and tools are available to the authenticated workspace.
Add the FoggyKitchen marketplace:
codex plugin marketplace add https://github.com/foggykitchen/foggykitchen-mcp
Then install the plugin:
codex plugin add foggykitchen-mcp@foggykitchen
Alternatively, configure the MCP server directly in ~/.codex/config.toml:
[mcp_servers.foggykitchen]
url = "https://foggykitchen.com/mcp" oauth_resource = "https://foggykitchen.com/mcp"
Restart Codex or start a new thread after installing so the MCP tools are loaded.
Register FoggyKitchen as a remote HTTP MCP server:
claude mcp add --transport http foggykitchen https://foggykitchen.com/mcp
You can also use this repository as a project-level MCP configuration. Claude Code auto-detects the .mcp.json at the root of this repo. It connects to https://foggykitchen.com/mcp over HTTP and uses OAuth/PKCE with FoggyKitchen. If you clone the repo and open it as a project, Claude Code will prompt you to approve the foggykitchen MCP server on first use.
Plugin installation is still supported where Claude Code plugin marketplaces are enabled:
claude plugin marketplace add foggykitchen/foggykitchen-mcp
claude plugin install foggykitchen-mcp@foggykitchen
Or from within a Claude Code session:
/plugin marketplace add foggykitchen/foggykitchen-mcp
/plugin install foggykitchen-mcp@foggykitchen
Restart Claude Code or start a new session after adding/installing the server so the MCP tools are loaded.
FoggyKitchen MCP supports OAuth/PKCE for Codex and Claude Code. Start the OAuth flow from your AI coding client. FoggyKitchen Settings are used only for manual Personal MCP Tokens.
OAuth is available for Professional+ memberships. Individual Learner and Starter accounts can browse FoggyKitchen, but they cannot authorize MCP access for Codex, Claude Code, or other AI coding clients.
STEP 1. Start login from Codex:
codex mcp login foggykitchen
STEP 2. Your browser opens FoggyKitchen. If you are not signed in, sign in first.
STEP 3. FoggyKitchen shows the OAuth approval screen with Allow access and Deny. Click Allow access.
STEP 4. Codex completes authentication and the FoggyKitchen MCP tools become available.
STEP 5. Run /mcp in Codex to verify the tool list.
STEP 1. Start Claude Code, open /mcp, select foggykitchen, and authenticate. Your browser should show FoggyKitchen login if needed, then the OAuth approval screen with Allow access and Deny. After approval, Claude Code should show the server as connected.
STEP 2. Once authenticated, you can close the browser window and return to Claude Code.
STEP 3. Claude Code will notify you about being connected to the MCP server.
STEP 4. Review Claude Code MCP connection details from /mcp.
Personal MCP Tokens remain available in FoggyKitchen Settings -> AI Developer Tools for legacy clients, smoke tests, and tools that cannot complete OAuth/PKCE yet. OAuth is the recommended flow for Codex and Claude Code.
Treat Personal MCP Tokens as secrets. Do not commit real tokens, request logs containing tokens, or generated files containing secrets. If a token has been pasted into chat, shell history, logs, or source control, rotate it in FoggyKitchen Settings -> AI Developer Tools.
The Codex plugin declares the FoggyKitchen MCP endpoint as an OAuth protected resource:
{
"mcpServers": { "foggykitchen": { "type": "http", "url": "https://foggykitchen.com/mcp", "oauth_resource": "https://foggykitchen.com/mcp" } } }
For direct smoke tests or legacy clients that do not support OAuth yet, a Personal MCP Token can still be passed as a Bearer token. Do not commit real tokens. If a token has been pasted into chat, shell history, or source control, rotate it.
After installation and authentication, ask Codex or Claude Code one of these prompts:
Use FoggyKitchen MCP. Check my current access and then resolve the architecture for Azure firewall transit landing zone.
Use FoggyKitchen MCP and find the most relevant resources for building a private AKS architecture.
Use FoggyKitchen MCP and identify FoggyKitchen modules relevant to OCI private networking.
Expected behavior: the AI client should invoke FoggyKitchen MCP tools, resolve FoggyKitchen catalog or architecture context according to your entitlement, and prefer FoggyKitchen resources before falling back to generic cloud documentation.
This repository owns the public MCP Registry metadata for FoggyKitchen MCP. The actual remote MCP server is implemented by FoggyKitchen and exposed at https://foggykitchen.com/mcp; server.json only describes that public endpoint for registry consumers.
Publish manually from this repo:
mcp-publisher login github
mcp-publisher publish
Or publish through GitHub Actions by pushing a version tag:
git tag v0.3.2
git push origin v0.3.2
The GitHub Actions workflow uses GitHub OIDC authentication and
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요