# Cisco Meraki MCP Server

> Use this tool when you need to troubleshoot and monitor Cisco Meraki networks efficiently, as it enables intelligent diagnostics and health checks through natural language inputs and automated workflows, providing outputs such as network configuration and issue resolution. It solves problems like network downtime and performance issues, and is ideal for use cases where rapid and automated network troubleshooting is required. It is particularly useful in contexts where IT teams need to quickly identify and resolve network issues.

Canonical page: https://skillsregistry.net/skills/adi2084-cisco-meraki-agentic-workflow-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/adi2084-cisco-meraki-agentic-workflow-mcp-server

## Description

Enables intelligent troubleshooting, monitoring, and configuration of Cisco Meraki networks through natural language, with agentic workflows for automated diagnostics and health checks.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lnlo09g7tn)
- **Repository:** <https://github.com/ADI2084/Cisco-Meraki-Agentic-Workflow-MCP-Server>

## 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": "adi2084-cisco-meraki-agentic-workflow-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/adi2084-cisco-meraki-agentic-workflow-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/adi2084-cisco-meraki-agentic-workflow-mcp-server/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