# Cisco FMC MCP Server

> Use this tool when you need to retrieve Cisco Firepower Management Center (FMC) data, such as firewall configurations and network objects, through natural language queries. It solves problems related to accessing and understanding FMC deployment status and configurations, providing a safe and controlled interface to FMC 7.4.x instances. The tool takes natural language queries as input and returns relevant FMC data as output, making it ideal for use cases requiring automated or AI-driven FMC data retrieval.

Canonical page: https://skillsregistry.net/skills/zoemdoef-cisco-fmc-mcp  
JSON: https://api.skillsregistry.net/v1/skills/zoemdoef-cisco-fmc-mcp

## Description

A read-only Model Context Protocol server that enables LLMs to query Cisco Firepower Management Center (FMC) for firewall configurations, network objects, and deployment status. It features automatic token management and built-in rate limiting to safely interact with FMC 7.4.x instances through natural language.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/db0li3nvp4)
- **Repository:** <https://github.com/ZoemDoef/cisco-fmc-mcp>

## 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": "zoemdoef-cisco-fmc-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zoemdoef-cisco-fmc-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zoemdoef-cisco-fmc-mcp/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