What is MCP (Model Context Protocol)?

You may have heard fancy things about MCP, but basically:
MCP is a standard that enables AI models to interact with external systems through well-defined tools. The server exposes these tools such as searching internet, reading files, querying system status, or executing commands, while the client interprets them and tells the model what each tool does, what inputs it accepts, and what output to expect. This allows the model to reason about and operate on live system data in a structured, safe way.

MCP Servers

All servers have a free version; some offer premium upgrades for extra features.

Network Devices Free Premium

Provides an easy way to manage and interact with network devices like servers, routers etc.

aimiox CloudDocker SSE

GitHub Details

Linux System Free

A lightweight server for exposing system telemetry, logs, and network information via SSE. It's designed for Ubuntu 22.04+.

Binary SSE

GitHub

Grafana Free Premium

Provides an easy way to query Grafana dashboards and panels.

aimiox CloudDocker SSE

GitHub Details

SNMP Free Premium

Provides an easy way to query SNMP devices and interact with MIBs.

aimiox CloudDocker SSE

GitHub Details

Geocode Free

Provides an easy way to convert addresses to coordinates and vice versa

aimiox Cloud SSE

GitHub

MCP Clients

There are many MCP clients available.
Some support only stdio, while others support both stdio and SSE. You can use your favorite client, but we always include a simple OpenAI Agents SDK-based CLI so you can test and interact with our servers easily. The agents SDK also allows us to put together fully agentic workflows, no human-in-the-loop required.