
Cisco Meraki MCP
io.github.Servosity由 GitHub 帳號 Servosity 發布v0.1.4更新於 Nov 7, 2026
Meraki Dashboard for MSPs: every API operation plus cross-org outages, renewals, and changes
概覽
非官方的 Cisco Meraki Dashboard API 本機 MCP 伺服器與命令列工具,讓助理為 MSP 彙整跨組織的裝置健康、故障、續約與變更紀錄。
- 可以做什麼
- 查詢 API 金鑰可見之所有組織的整體健康、離線或告警裝置、故障上行連結與停機時間
- 檢視授權、訂閱與停止支援日期等續約資訊,以及跨組織設定變更紀錄
- 將故障與近期變更相互對照,並找出某個 MAC、IP 或序號屬於哪個組織與網路
- 跨組織稽核管理員,包括長期未使用的權限與未啟用雙因素驗證的情況
- 以具型別的指令呼叫約 1,035 個 Dashboard API 操作,涵蓋組織、網路、裝置與管理端點
- 維護組織層級資料的本機 SQLite 鏡像,供離線搜尋與查找
- 適用情境
- 適合管理多個 Meraki 組織的託管服務商或 IT 團隊,讓助理回答「所有客戶目前哪些裝置離線」「哪些續約即將到期」「誰改了什麼」等跨組織問題。也適用於透過完整 Dashboard API 進行單一組織管理。
- 執行需求
- 以本機程序(stdio)在桌面執行;透過 .mcpb 套件或安裝程式把命令列工具與 MCP 伺服器放入使用者 bin 目錄。需要 MERAKI_DASHBOARD_API_KEY 中的 Meraki Dashboard API 金鑰,且每個組織須開啟 Dashboard API 存取。區域版面板需設定 CISCO_MERAKI_BASE_URL。多代理安裝指令需要 Node.js。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Cisco Meraki MCP,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
Cisco Meraki + AI - for Claude, the ChatGPT desktop app, GitHub Copilot, Gemini CLI, and any agent that speaks MCP
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.
[Cisco Meraki demo - animated preview]
▶ 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.
Works with your agent
The six agents MSP owners actually use (self-serve, works today):
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.
Also for the Microsoft and Google stacks
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.
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.
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.
Install in 60 seconds
Fastest for Claude Desktop - one-click .mcpb
Download 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:
Path A - paste one prompt into your AI agent (recommended)
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.
Path B - run the installer yourself
Windows (PowerShell):
macOS / Linux:
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:
Upgrade to the latest version
The installer always fetches the current release - re-run it to upgrade:
macOS / Linux:
Windows (PowerShell):
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.
Add to Claude Desktop, the ChatGPT desktop app, GitHub Copilot, Gemini CLI, or another MCP client
After the installer runs, see mcp-install.md and 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.
Install for Hermes
From the Hermes CLI:
Inside a Hermes chat session:
Hermes speaks MCP natively, so it can also use the cisco-meraki-mcp server directly - same install path, same env vars.
Install for OpenClaw
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.
Authenticate
Generate a Dashboard API key (Meraki Dashboard > My profile > API access) and set it:
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).
What this skill does
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.
What makes this different
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).
The pain this closes
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 Community Developers & APIs board has threads like "Using Powershell how to paginate thru pages" on exactly this), all under a ten-calls-per-second, per-org rate limit.
cisco-meraki-cli fleet down --agent- the morning triage list: every offline or alerting device and failed uplink, with network names and downtime.cisco-meraki-cli fleet renewals --within 90d --agent- the renewal pipeline across co-term, per-device, and subscription orgs plus end-of-support hardware.cisco-meraki-cli fleet blame "Q2QN-9J8L-SLPD" --window 2h --agent- "did a tech break it?" answered with the changes made just before each outage.cisco-meraki-cli fleet admins --email "[email protected]" --json- every org that still grants a departed tech access.
See pain-point.md for the longer narrative.
Frequently asked questions
Does this work with ChatGPT?
Yes, in the ChatGPT desktop app. It runs MCP servers locally (STDIO), the way cisco-meraki-mcp runs, and shares MCP configuration with Codex (OpenAI): add cisco-meraki-mcp under Settings > MCP servers as a STDIO server, or add it once to Codex's ~/.codex/config.toml. ChatGPT on the web is not supported by msp-skills yet: it needs a remote server. If your team works there, a hosted gateway is the better pick; check that your AI app is on the gateway's setup list.
Does this work with Codex, Cursor, Windsurf, Cline, Copilot, or Gemini?
Yes - all of them speak MCP. Cross-tool install commands are in the matrix above and the deep-dive in docs/which-agent.md.
Do I need to know how to code?
No. The recommended install is to paste one sentence into Claude Code or Codex - your agent reads SKILL.md and does the install. The fallback is a one-line installer per OS (bash or PowerShell). Neither path requires writing code. You'll enter your Cisco Meraki credentials once.
Is my Cisco Meraki data safe?
Your data stays on your machine. The CLI and MCP server are local binaries. The SQLite mirror sits in a directory under your user account. The AI agent only sees what the CLI returns - typically a query result, not raw bulk data. Credentials are read from your environment or your agent's config; never bundled into this repo or transmitted anywhere by MSP Skills.
What can the API key reach?
A Meraki API key carries the Dashboard permissions of the admin account that generated it, across every organization that admin can see. Generate it from an admin with read-only access if you only want reporting. Each org must also have Dashboard API access enabled (Organization > Settings); an org without it shows up in fleet health as reachable: false rather than disappearing.
Will this hit my Meraki API rate limit?
Meraki allows about ten calls per second per organization. The CLI paces itself at 10 requests per second by default (change it with --rate-limit) and, when Meraki answers HTTP 429, waits for the Retry-After header before trying again. Fleet commands across many orgs take longer: each run has one overall --timeout (default 1m), so raise it (for example --timeout 10m) for a large fleet. An org that runs out of time is named on stderr as failed, not silently dropped.
Does it work with the Canada, China, India, or FedRAMP dashboards?
Yes. Set CISCO_MERAKI_BASE_URL to your region's API host: https://api.meraki.ca/api/v1 (Canada), https://api.meraki.cn/api/v1 (China), https://api.meraki.in/api/v1 (India), or https://api.gov-meraki.com/api/v1 (FedRAMP). Leave it unset for the global dashboard.
Can an agent change my clients' networks by accident?
From the CLI, writes send immediately when called, with no confirmation prompt. Over MCP, every write tool returns a preview and sends nothing until it is called again with confirm set to boolean true. Keep autonomous agents to reads and --dry-run previews. The bulk tool, fleet push, previews a per-network diff by default and sends nothing unless you add --apply. Set CISCO_MERAKI_MCP_READ_ONLY=1 on the MCP server and it refuses writes outright. The safety model below says which commands to keep behind a human.
What does it cost?
Free. Apache-2.0 licensed. You pay only for whichever AI agent you use (Claude, ChatGPT, Codex, etc.), and that's billed by your AI provider, not by us.
Safety model
The strongest control is the Dashboard admin behind the API key - the CLI can only do what that admin is permitted to do, so generate the key from a read-only admin for reporting. For an MCP agent that should never write, also set CISCO_MERAKI_MCP_READ_ONLY=1: the server then refuses every non-GET call and fleet push --apply. Full details, including how to lock it down, are in governance.md.
Status
Beta. Validated against the Cisco Meraki API surface and being validated with MSPs running it live against their own production tenant in our weekly Build Sessions. RSVP at compoundingteams.com/build-sessions.
Standards. Conforms to the open Agent Skills spec (Anthropic, Dec 2025; 40+ agents). MCP-compatible - works with any MCP-capable agent including Hermes. OpenClaw-ready (frontmatter pre-wired, awaiting OpenClaw launch).
Maintained by Servosity. Apache-2.0 licensed. Built with CLI Printing Press. Last updated: 2026-10-13.
來源:skills/cisco-meraki/README.md,提交 62ab9f0
工具
0版本歷史
5- v0.1.4最新Nov 7, 2026
- v0.1.3Oct 23, 2026
- v0.1.2Oct 22, 2026
- v0.1.1Oct 16, 2026
- v0.1.0Oct 15, 2026
評分
已滿足適用檢查項的 40%
該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。
- 近 30 天內可連通25 分
請保持端點能夠回應 MCP 握手;SourceWeft 每 30 天探測一次。
- 已宣告認證方式10 分
請在註冊中心條目中宣告憑證請求標頭,或保持端點能夠回應探測,以便判定其認證方式。
- 已列出工具15 分
請讓伺服器在無憑證時回應 tools/list,或發布可在沙箱中無憑證啟動的軟體包。
- 描述必需15 分
- 圖示10 分
- 文件15 分
- 授權條款10 分
請在儲存庫或註冊中心條目中宣告授權條款。