Meraki Magic is a Python-based MCP (Model Context Protocol) server for Cisco's Meraki Dashboard. Meraki Magic provides tools for querying the Meraki
Meraki Magic MCP MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. Meraki Magic is a Python-based MCP (Model Context Protocol) server for Cisco's Meraki Dashboard. Meraki Magic provides tools for querying the Meraki Dashboard API to discover, monitor, and manage your Meraki environment.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
Once Meraki Magic MCP is connected, these are the calls the assistant has available:
Prerequisites — The Prerequisites tool exposed by this serverYou will need 3 environment variables: MERAKI_API_KEY, MERAKI_ORG_ID, MERAKI_BASE_URL. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
This sits in the monitoring and observability group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Meraki Magic MCP's toolset — Prerequisites — is a fair guide to whether it matches your workflow. It is maintained by MKutka; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Meraki Magic MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Prerequisites | The Prerequisites tool exposed by this server. |
**Windows Example:**
```json
{
"mcpServers": {
"Meraki_Magic_MCP": {
"command": "C:/Users/YourName/meraki-magic-mcp-community/.venv/Scripts/fastmcp.exe",
"args": [
"run",
"-t", "stdio",
"C:/Users/YourName/meraki-magic-mcp-community/meraki-mcp-dynamic.py"
]
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| MERAKI_API_KEY | Credential the server authenticates with. | Yes |
| MERAKI_ORG_ID | Configuration value read at startup. | Optional |
| MERAKI_BASE_URL | Endpoint or connection string the server talks to. | Yes |
Give your coding agent the full DevTools toolbox: traces, network, console, heap snapshots and Lighthouse.
Dashboards, Prometheus and Loki queries, incidents and alerts — observability by conversation.
Errors with full context — stack traces, issue triage and AI-powered root-cause analysis from Sentry's server.
Enables enhanced web research capabilities for large language models through intelligent search queuing and advanced content extraction.
Automates browser interactions and enables Large Language Models (LLMs) to interact with web pages through Playwright and Chrome DevTools Protocol
Guides tool usage by providing recommendations for MCP tools at each problem-solving stage.