# Meraki MCP Server

> Meraki MCP Server — dipeshmaindolia001-meraki-mcp-server-testing. Use this tool when you need to manage and monitor Meraki networks, devices, and licenses through a role-based access interface. It solves problems related to network administration and automation by providing a natural language-based API gateway to the Cisco Meraki Dashboard. The Meraki MCP Server takes in natural language inputs and outputs managed network data, ideal for use cases requiring centralized and secure network management.

Canonical page: https://skillsregistry.net/skills/dipeshmaindolia001-meraki-mcp-server-testing  
JSON: https://api.skillsregistry.net/v1/skills/dipeshmaindolia001-meraki-mcp-server-testing

## Description

Provides role-based access to the Cisco Meraki Dashboard API via MCP, enabling management and monitoring of Meraki networks, devices, firmware, and licenses through natural language tools.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qyh45dwqj1)
- **Repository:** <https://github.com/dipeshmaindolia001/meraki-mcp-server-testing>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dipeshmaindolia001-meraki-mcp-server-testing"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dipeshmaindolia001-meraki-mcp-server-testing` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dipeshmaindolia001-meraki-mcp-server-testing/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt