Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Meraki Dashboard for MSPs: every API operation plus cross-org outages, renewals, and changes
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.
MERAKI_DASHBOARD_API_KEY, CISCO_MERAKI_BASE_URL, CISCO_MERAKI_MCP_READ_ONLY, CISCO_MERAKI_NO_LOCAL_DATA, CISCO_MERAKI_USER_AGENT, CISCO_MERAKI_MCP_HTTP_TOKEN, PRINTING_PRESS_CLIENT_PROFILE비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
링크는 제작자의 파일로 바로 연결돼요. 우리가 보관하거나 다시 패키징하지 않아요. 파일을 열면 Claude Desktop이 설치해요.
터미널에서 이 명령어를 실행하세요
실행하기 전에 빈 값을 채워 주세요.
브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
CISCO_MERAKI_BASE_URL envCISCO_MERAKI_MCP_READ_ONLY envCISCO_MERAKI_NO_LOCAL_DATA envCISCO_MERAKI_USER_AGENT envPRINTING_PRESS_CLIENT_PROFILE env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 점검
레지스트리 이름이 GitHub 계정 servosity 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
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.
입력해야 할 값: MERAKI_DASHBOARD_API_KEY, CISCO_MERAKI_MCP_HTTP_TOKEN
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.1.4)은 오늘 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 MCPB도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, NexusWindows
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Windows computer use in the background: desktop apps driven without your mouse or keyboard.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Unofficial. Community-built Claude Code Skill and MCP server for the Cisco Meraki
API. Not affiliated with, endorsed by, or sponsored by Cisco Systems, Inc.
▶ Watch the 30-second demo - demo data is simulated; every command shown exists in the real CLI.
Every Meraki Dashboard operation, plus cross-org fleet views that read every page, and a local mirror built for MSPs running many client orgs. Works with the AI you already use - ChatGPT (desktop app), Claude Desktop, Codex, Claude Code, Claude Cowork, and GitHub Copilot - plus Gemini CLI. Free, open source, runs on your laptop. Built for MSP owners. No code required.
The six agents MSP owners actually use (self-serve, works today):
| Your AI agent | How to install the Cisco Meraki skill |
|---|---|
| Claude Desktop | Run installer, then Settings > Extensions to register cisco-meraki-mcp (no JSON editing). |
| ChatGPT (desktop app) | Run installer, then add cisco-meraki-mcp in Settings > MCP servers as a local (STDIO) server. ChatGPT on the web is not supported yet. |
| Codex CLI | Paste the install prompt below. |
| Claude Code | Paste the install prompt below. |
| Claude Cowork | Paste the install prompt below. |
| GitHub Copilot (VS Code) | Run installer, add cisco-meraki-mcp to mcp.json under the servers key, then pick Agent mode. |
The ChatGPT desktop app runs cisco-meraki-mcp locally and shares MCP configuration with Codex (OpenAI). ChatGPT on the web needs a remote server, which msp-skills does not support yet. If your team works there, a hosted gateway is the better pick; check that your AI app is on the gateway's setup list.
Big install base, but an honest heads-up: Gemini CLI runs the local binary you just installed, while Microsoft 365 Copilot and the Gemini app need a remote server, which msp-skills does not support yet.
| Agent | What it takes |
|---|---|
| Microsoft 365 Copilot / Copilot Studio | Not supported by msp-skills yet: it needs a remote server. A hosted gateway is the better pick; check that your AI app is on the gateway's setup list. |
| Google Gemini | Gemini CLI is local - same as Claude Code. See mcp-install.md. The Gemini app needs a remote server and is not supported by msp-skills yet. |
Skill-native agents (also covered): Hermes and OpenClaw read this skill's
SKILL.mddirectly *and* speak MCP - see their install sections below. Also works with Cursor, Windsurf, Cline, Continue.dev, and Zed via MCP. Full per-tool wire-up: [docs/which-agent.md](../../docs/which-agent.md).
Run more than one agent? Install across all 51+ supported agents in one command:
npx skills add Servosity/msp-skills@latest(requires Node.js, then run the per-skill installer for the CLI/MCP binaries). See docs/which-agent.md.
.mcpbDownload Cisco Meraki MCP (.mcpb) - then open Claude Desktop > Settings > Extensions and select the file. One click, no JSON, no shell. (Browse every Cisco Meraki release on the releases page.)
Prefer the Claude Code plugin? Add the marketplace once, then install - works immediately, no directory listing required:
/plugin marketplace add Servosity/msp-skills
/plugin install cisco-meraki@msp-skills
Copy this into Claude Code, Codex CLI, or Claude Cowork:
Install the Cisco Meraki Skill and MCP server from Servosity/msp-skills in this agent workspace. If this workspace uses a POSIX shell (macOS, Linux, WSL, or Bash), run
bash <(curl -fsSL https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/cisco-meraki/install.sh). If it uses Windows PowerShell, runiwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/cisco-meraki/install.ps1 | iex. Then authenticate per the README and runcisco-meraki-cli --helpto explore.
The same prompt works in any agent that can run shell.
Windows (PowerShell):
iwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/cisco-meraki/install.ps1 | iex
macOS / Linux:
bash <(curl -fsSL https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/cisco-meraki/install.sh)
The installer drops both cisco-meraki-cli (the CLI) and cisco-meraki-mcp (the MCP server) into your user bin path. Claude Code, Codex, and Cowork discover the Skill via SKILL.md in this directory.
Verify:
cisco-meraki-cli --version
The installer always fetches the current release - re-run it to upgrade:
macOS / Linux:
bash <(curl -fsSL https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/cisco-meraki/install.sh)
Windows (PowerShell):
iwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/cisco-meraki/install.ps1 | iex
Claude Desktop .mcpb users: download the latest .mcpb (top of this section) and re-select it in Settings > Extensions. Claude Code plugin users: /plugin update cisco-meraki@msp-skills.
After the installer runs, see [mcp-install.md](./mcp-install.md) and [docs/which-agent.md](../../docs/which-agent.md) for the per-agent wire-up - one section per agent, including the GitHub Copilot servers key and the ChatGPT desktop app. Claude Desktop's Settings > Extensions panel is the simplest path; the MCP config block (for users who prefer editing JSON) is documented in mcp-install.md.
From the Hermes CLI:
hermes skills install servosity/msp-skills/skills/cisco-meraki --force
Inside a Hermes chat session:
/skills install servosity/msp-skills/skills/cisco-meraki --force
Hermes speaks MCP natively, so it can also use the cisco-meraki-mcp server directly - same install path, same env vars.
Tell your OpenClaw agent (copy this):
Install the cisco-meraki skill from https://github.com/servosity/msp-skills/tree/main/skills/cisco-meraki. The skill defines how its required CLI (
cisco-meraki-cli) can be installed via theopenclaw:frontmatter block.
OpenClaw isn't generally available yet; the frontmatter wiring is pre-shipped and will activate the moment OpenClaw launches.
Generate a Dashboard API key (Meraki Dashboard > My profile > API access) and set it:
export MERAKI_DASHBOARD_API_KEY=<your-api-key>
cisco-meraki-cli doctor cisco-meraki-cli fleet health --limit 5
The key reaches every organization the admin who generated it can see, with that admin's permissions - generate it from a read-only admin if you only want reporting. Each org needs Dashboard API access turned on (Organization > Settings). doctor checks config and reachability and test-calls the key; read its Credentials line, because it exits 0 even when the key is rejected. On a regional dashboard, also set CISCO_MERAKI_BASE_URL (for example https://api.meraki.ca/api/v1 for Canada).
| Question your MSP keeps asking | Command |
|---|---|
| Which client org is in the worst shape right now? | cisco-meraki-cli fleet health --agent |
| What is offline or alerting across every org, and for how long? | cisco-meraki-cli fleet down --agent |
| Which MX WAN uplinks have failed? | cisco-meraki-cli fleet down --kind uplink --json |
| Which licenses, subscriptions, and end-of-support dates are due in 90 days? | cisco-meraki-cli fleet renewals --within 90d --agent |
| Who changed what across all orgs this week? | cisco-meraki-cli fleet changes --since 7d --group-by admin --agent |
| Did a change land right before this device went offline? | cisco-meraki-cli fleet blame "Q2QN-9J8L-SLPD" --window 2h --agent |
| Which org and network owns this MAC, IP, or serial? | cisco-meraki-cli fleet find "00:18:0a:12:34:56" --agent |
| Which admins have two-factor off or stale access, and where does a departed tech still have access? | cisco-meraki-cli fleet admins --stale 90d --flagged --agent |
Beyond the fleet views, all 1,035 Dashboard API operations are typed commands under organizations, networks, devices, and administered; cisco-meraki-cli which "offline devices" finds the right one.
Full command reference: guide.md. For the AI-agent operating contract (--agent, --dry-run, when to confirm before mutating), see AGENTS.md.
Most Meraki integrations and MCP servers proxy one question into one live API call against one organization, and often read only the first page of a list. That's fine for one record. It dies at MSP scale, when you're asking "what is down for all 30 clients, and since when?"
This skill is built for that question. The fleet commands run across every org the key can see under one rate limiter, follow every Link-header page, and never count an org that fails to answer as zero devices: fleet health keeps it as an unreachable row and the other fleet commands name it on stderr. Compound views do the joins a stateless wrapper can't: fleet down joins device status to org and network names and computes downtime, fleet blame lines up each outage with the config changes made just before it, and fleet renewals merges three licensing models with hardware end-of-support dates into one date-sorted list. The fleet views query the Dashboard live; sync also keeps a local SQLite mirror of the org-level data so search "Acme" --data-source local, fleet find, and fleet changes --data-source local can answer offline. Single-endpoint reads through the MCP server say when Meraki has more pages (has_more, plus the cursor to resume, or how to re-request a page too large for one result).
Meraki's MSP Portal (now the Global Overview page), as Meraki documents it, lists each client org with device counts, license status, and one co-term expiration date. It documents no cross-org list of which devices are down, no cross-org change log, and no admin management across orgs - so "what is broken for every client right now?" still means clicking into each org. Scripting it runs into the API's shape: paginated lists come back as bare arrays paged only by a Link header, so a one-call script silently stops at page one (the Meraki Communit
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