Official MCP server for Automox Below are 37 infrastructure & backend apps with similar functionality to automox-mcp, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
MCP server wrapping the ROBOT ontology CLI tool
MCP server for Link local agent memory — remember, recall, search, context, and graph traversal
MCP (Model Context Protocol) server for pyscn Python code analyzer
plesk-mcp is an open-source MCP server that facilitates automation and orchestration of model context protocol workflows, particularly for hosting and AI infrastructure scenarios. It is designed for engineers integrating AI models into hosting platforms.
MCP server that wraps the basecamp CLI.
MCP server that exposes a Telegram bot
MCP server for LibreNMS management
Simple MCP Client to quickly test and explore MCP servers from the command line
Turn any MCP server or OpenAPI spec into a CLI
mcp-remlezrd is an open-source server implementing the Model Context Protocol (MCP) for AI agents. It allows developers to manage, exchange, and serve context for AI workflows, supporting integration with agent frameworks and research projects.
Works With Agents MCP Server — 14 native tools for AI agent infrastructure. Facts, Pitfalls, Skills, Handoff Protocol, Blueprint Registry, Trust Scores, Identity Verification, SLA Validation, Compliance-as-Code.
A MCP server which proxies requests to a remote MCP server over streamable HTTP or SSE.
Model Context Protocol server for KumoRFM
MCP server for Google Merchant Center on Merchant API v1. MIT-licensed, pip install-able, 126 tools across 19 modules with audit log, rollback, and dry-run.
Model Context Protocol (MCP) is an open-source framework that provides a standardized way for AI models to communicate with external tools and services. It enables developers to build AI applications that integrate with multiple LLM providers using a unified protocol, simplifying tool integration and interoperability.
Model Context Protocol server for Skore (experiment tracking and model evaluation)
MyMCP is a free, open-source application for macOS that enables users to discover, install, and manage Model Context Protocol (MCP) servers across various AI tools. It provides unified configuration, GitHub metadata enrichment, and quick access from the menubar, streamlining server management for developers and AI enthusiasts.
Model Context Protocol server for Coros with first-class running workout authoring, scheduling, and editing on top of training data, sleep, HRV, and activity exports.
MCP server launcher for Haxaml.
MCPM is an open-source command-line tool that helps developers manage Model Context Protocol (MCP) servers. It offers features like server discovery, global installation, profile-based organization, and seamless integration with MCP clients, making it easier to configure and share AI agent servers.
Convert MCP server tools into hierarchical CLI commands and agent Skills
Agent-feels-local SSH orchestration MCP server — persistent bash, hash-protected editing, SFTP, tunnels, multi-host orchestration over AsyncSSH
ragebot-mcp is an open-source CLI tool that provides intelligent project context management and integrates with MCP servers. It supports code and context retrieval, RAG workflows, and is designed for developers seeking advanced CLI-based project tools.
MCP server for Keysight CyPerf network testing platform
compos-mcp is an open-source MCP server designed for integrating Compos architectural memory into AI and LLM workflows. It provides a model context protocol implementation, allowing developers to manage and serve contextual memory for advanced AI applications. Suitable for AI developers and researchers building memory-augmented systems.
eos-mcp is an open-source Python MCP server that automates Arista EOS device operations using eAPI. It is designed for network automation engineers seeking to streamline device management and integrate with model-context-protocol workflows.
MCP Playground is an open-source web application that lets users test, browse, and interact with Model Context Protocol (MCP) servers directly in the browser. It provides live tool execution, registry browsing, and schema linting, making it valuable for AI developers and researchers working with MCP.
Reconnaissance and known-issue scanner for Model Context Protocol (MCP) servers
A production-grade Model Context Protocol (MCP) server for Wireshark
contextl-mcp is an open-source MCP server designed for AI coding agents. It provides repository intelligence, code search, and integrates with the Model Context Protocol, allowing developers to build advanced AI-powered code tools. Distributed under the MIT license.
MCP-X is an open-source, single-file gateway that allows multiple clients to securely access and manage tools across servers using the Model Context Protocol (MCP). It features per-tool access control, REST API, JWT authentication, and live configuration reload, making it ideal for developers managing distributed tool environments.
AI cross-context synchronization layer — shared knowledge base MCP server for Claude Code, Copilot, and Codex
Thin MCP server for Cisco CML2: openapi.json + generic authenticated REST.
Minimal stdio MCP server for parallel task execution by AI agents
Test your MCP server like you test an API — declarative YAML, CI-ready, zero boilerplate.
The package manager for MCP servers — install and configure in one command.
Expose any CLI as MCP tools via YAML configuration
