Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者による説明(英語の原文)
Meraki Dashboard for MSPs: every API operation plus cross-org outages, renewals, and changes
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
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_PROFILE「秘密」と表示された値は、あなたのアカウントの鍵です。絶対に人に教えたり、チャットに貼り付けたりしないでください。
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
リンク先は作者自身のファイルです。私たちが置いたり再パッケージしたりしたものではありません。ファイルを開くと、Claude Desktopがインストールします。
ターミナルでこれを実行します
動かす前に、空欄の値を入力してください。
ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
CISCO_MERAKI_BASE_URL envCISCO_MERAKI_MCP_READ_ONLY envCISCO_MERAKI_NO_LOCAL_DATA envCISCO_MERAKI_USER_AGENT envPRINTING_PRESS_CLIENT_PROFILE envこの設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月8日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント servosity で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
入力が必要なもの:MERAKI_DASHBOARD_API_KEY, CISCO_MERAKI_MCP_HTTP_TOKEN
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(0.1.4)がレジストリに届いたのは今日です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにMCPBも必要です。
同じカテゴリには:Spec Driven Development, Remote Desktop Commander, Tethered Trust
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
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.
Fit, compatibility and recall checks for AI agents before they buy: verdicts, evidence, receipts.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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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