# io.github.GeiserX/genieacs-mcp

> Use this tool when you need to bridge GenieACS TR-069 ACS instances to Large Language Models (LLMs) for efficient CPE device management. It solves problems of compatibility and integration between ACS systems and LLMs, enabling seamless device management. The tool takes GenieACS instances as input and outputs managed CPE devices, ideal for use cases requiring automated device configuration and monitoring.

Canonical page: https://skillsregistry.net/skills/io-github-geiserx-genieacs-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-geiserx-genieacs-mcp

## Description

MCP server bridging GenieACS TR-069 ACS instances to LLMs for CPE device management

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.0.11
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.GeiserX%2Fgenieacs-mcp)
- **Repository:** <https://github.com/GeiserX/genieacs-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": "io-github-geiserx-genieacs-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-geiserx-genieacs-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-geiserx-genieacs-mcp/pull`

---
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