
Cisco Meraki MCP
io.github.ServosityPublished by GitHub account Servosityv0.1.4Updated Nov 7, 2026
Meraki Dashboard for MSPs: every API operation plus cross-org outages, renewals, and changes
Overview
Unofficial local MCP server and CLI for the Cisco Meraki Dashboard API, giving an assistant cross-org fleet health, outages, renewals and change history for…
- What you can do
- Query fleet health, offline or alerting devices, failed uplinks and downtime across every org the API key can see
- Review license, subscription and end-of-support renewals, and cross-org configuration change logs
- Correlate outages with recent changes, and locate which org or network owns a MAC, IP or serial
- Audit admins across orgs, including stale access and two-factor gaps
- Run any of the roughly 1,035 Dashboard API operations as typed commands for organizations, networks, devices and administered endpoints
- Keep a local SQLite mirror of org-level data for offline search and lookups
- When to use it
- Useful for managed service providers or IT teams running many Meraki organizations who want an assistant to answer cross-org questions such as what is down for all clients, what renewals are due, or who changed what. Also fits single-org administration through the full Dashboard API surface.
- Requirements
- Runs as a local process (stdio) on desktop; an .mcpb package or installer places the CLI and MCP server in the user bin path. Requires a Meraki Dashboard API key in MERAKI_DASHBOARD_API_KEY, and each org must have Dashboard API access enabled. Set CISCO_MERAKI_BASE_URL for regional dashboards. Node.js is needed for the multi-agent install command.
Installation
In SourceWeft
- Open Cisco Meraki MCP in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
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.
Source: skills/cisco-meraki/README.md at commit 62ab9f0
Tools
0Version history
5- v0.1.4LatestNov 7, 2026
- v0.1.3Oct 23, 2026
- v0.1.2Oct 22, 2026
- v0.1.1Oct 16, 2026
- v0.1.0Oct 15, 2026
Score
40% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
Declare a license in the repository or the registry entry.