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alpadalar/netops-mcp

by Various

A comprehensive MCP server that provides access to essential DevOps and networking tools through a standardized interface.

A

MCP

alpadalar/netops-mcp

Added 1 June 2026

Overview

A Python-based MCP server that exposes DevOps and networking tools through a standardized interface. It allows AI assistants to interact with network operations and system administration tasks via the Model Context Protocol.

Best for

Best for
Developers experimenting with MCP-based automation for networking and DevOps tasks

Use cases

  • Integrating AI assistants with network monitoring and configuration tools
  • Automating routine DevOps tasks through MCP-compatible clients
  • Building custom workflows that combine multiple networking utilities

How to use

Install

uv pip install -e .

Tools exposed

  • NETOPS_MCP_CONFIG

Tested with

Claude Desktop, Claude Code, Cursor

Notes

A Python-based MCP server that exposes DevOps and networking tools through a standardized interface. It allows AI assistants to interact with network operations and system administration tasks via the Model Context Protocol.

10 stars on GitHub. Last updated 2026-03-30. Licensed MIT.

Use cases

  • Integrating AI assistants with network monitoring and configuration tools
  • Automating routine DevOps tasks through MCP-compatible clients
  • Building custom workflows that combine multiple networking utilities

Pros

  • Standardized MCP interface simplifies integration with AI tools
  • Written in Python, making it accessible for customization
  • Open source with a permissive license

Cons

  • Very early stage with only 10 GitHub stars and limited community
  • Documentation and tool coverage may be sparse
  • Dependent on the broader MCP ecosystem for client support

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

Pros

  • Standardized MCP interface simplifies integration with AI tools
  • Written in Python, making it accessible for customization
  • Open source with a permissive license

Cons

  • Very early stage with only 10 GitHub stars and limited community
  • Documentation and tool coverage may be sparse
  • Dependent on the broader MCP ecosystem for client support

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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