Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Meraki Dashboard for MSPs: every API operation plus cross-org outages, renewals, and changes
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
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_PROFILEAls geheim markierte Werte sind Schlüssel zu deinem Konto. Gib sie nie weiter und füge sie nie in einen Chat ein.
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Die .mcpb-Datei des Entwicklers herunterladen
Der Link führt zur Datei des Entwicklers selbst; wir hosten sie nicht und verpacken sie nicht neu. Öffne die Datei, dann installiert Claude Desktop sie.
Führe das in deinem Terminal aus
Trag die leeren Werte ein, bevor du ihn startest.
Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
CISCO_MERAKI_BASE_URL envCISCO_MERAKI_MCP_READ_ONLY envCISCO_MERAKI_NO_LOCAL_DATA envCISCO_MERAKI_USER_AGENT envPRINTING_PRESS_CLIENT_PROFILE envDiese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto servosity bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Das musst du eintragen: MERAKI_DASHBOARD_API_KEY, CISCO_MERAKI_MCP_HTTP_TOKEN
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.1.4) kam heute in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du MCPB auf deinem Computer.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, Date Math
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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.
Date/time math for agents: business days, holidays, time zones, cron, RRULE. 25 free calls/day.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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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