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GeiserX/genieacs-mcp

by Various

MCP Server for GenieACS written in Go

G

MCP

GeiserX/genieacs-mcp

Added 1 June 2026

#acs #ai #automation #cpe #cwmp #device-management #docker #genieacs

Overview

GeiserX/genieacs-mcp is an MCP server for GenieACS written in Go. It provides a standardized interface for managing and interacting with GenieACS, a TR-069 auto-configuration server for CPE devices.

Best for

Best for
Developers already using GenieACS who want to connect it to MCP-compatible clients or workflows

Use cases

  • Integrating GenieACS device management into MCP-compatible workflows
  • Automating TR-069 device configuration and firmware updates
  • Building custom tools that query or modify CPE device parameters

How to use

Install

npx genieacs-mcp

Tools exposed

  • ACS_URL
  • ACS_USER
  • ACS_PASS
  • DEVICE_LIMIT
  • MCP_LISTEN_ADDR
  • MCP_AUTH_TOKEN
  • MCP_ALLOWED_HOSTS
  • MCP_ALLOWED_ORIGINS

Notes

GeiserX/genieacs-mcp is an MCP server for GenieACS written in Go. It provides a standardized interface for managing and interacting with GenieACS, a TR-069 auto-configuration server for CPE devices.

12 stars on GitHub. Last updated 2026-05-27. Licensed GPL-3.0.

Use cases

  • Integrating GenieACS device management into MCP-compatible workflows
  • Automating TR-069 device configuration and firmware updates
  • Building custom tools that query or modify CPE device parameters

Pros

  • Written in Go for efficient performance and easy deployment
  • Leverages MCP protocol for standardized tool integration
  • Small codebase with low overhead

Cons

  • Very early stage with only 12 stars and limited community adoption
  • Requires existing GenieACS infrastructure to be useful
  • No documentation or usage examples beyond the repository description

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Written in Go for efficient performance and easy deployment
  • Leverages MCP protocol for standardized tool integration
  • Small codebase with low overhead

Cons

  • Very early stage with only 12 stars and limited community adoption
  • Requires existing GenieACS infrastructure to be useful
  • No documentation or usage examples beyond the repository description
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