mcp-synology is an open-source MCP server for Synology NAS, allowing users and agents (such as Claude) to manage files through agent protocols. It supports file-station operations and integrates with agent ecosystems. Below are 8 other infrastructure apps with similar functionality to mcp-synology, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
Synchronize MCP server configurations across 20+ AI agents
cygnus-ssh-mcp is an open-source CLI tool that implements an MCP server for managing SSH remote servers. It enables automation and orchestration of server tasks using the Model Context Protocol, targeting system administrators and DevOps engineers.
mcp-sympy is an open-source MCP server that exposes the symbolic mathematics capabilities of SymPy through a programmable API. It enables developers to integrate advanced math operations into their applications using the MCP protocol. Distributed under the MIT license.
MCP (Model Context Protocol) server for pyscn Python code analyzer
synapse-cli is an open-source command-line tool that analyzes codebases and generates production-ready MCP servers using a gRPC backend. It is designed for developers seeking to automate server generation and code analysis.
grocy-mcp is an open-source CLI tool and MCP server for Grocy, offering workflow automation, planning helpers, and household automation surfaces. It is designed for developers and advanced users seeking to extend Grocy's capabilities through command-line and automation protocols.
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.so is a third-party marketplace for discovering, searching, and integrating MCP servers and clients. It provides a large collection of MCP servers, supports AI and agent integrations, and offers installation via API, CLI, and Docker. Designed for developers building AI-powered applications.
