Slide MCP Server

The Slide MCP Server is a purpose‑built bridge between AI assistants and the Slide platform, offering developers a consolidated, low‑overhead interface for managing physical devices, virtual machines, network infrastructure, and data protection. By exposing a rich set of meta‑tools, the server translates high‑level AI commands into concrete API calls against Slide, enabling assistants to perform complex operations—such as provisioning a new VM or initiating a device backup—with just a single intent. This abstraction removes the need for developers to grapple with hundreds of individual endpoints, reducing cognitive load and the likelihood of errors in LLM‑driven workflows.

At its core, the server implements a meta‑tool architecture that condenses over fifty Slide API operations into thirteen focused tool groups. Each meta‑tool accepts an parameter, allowing a single call to trigger actions like listing devices, creating VPN peers, or exporting disk images. This design dramatically simplifies the prompt structure for LLMs: instead of specifying intricate parameter combinations, an assistant can simply describe the desired outcome and let the meta‑tool orchestrate the underlying calls. The result is a more natural interaction flow, faster iteration cycles, and fewer context‑management bugs.

Key capabilities include comprehensive device management (power control, hostname updates), robust agent and backup orchestration, advanced network configuration with IPSec, WireGuard, and port forwarding support, and full virtual infrastructure control (CPU, RAM, network modes). Administrative functions such as user, account, and client management are bundled into a single tool, while alert monitoring and reporting tools provide visibility into system health. The server’s lightweight Go binary ensures rapid startup, minimal memory usage, and cross‑platform compatibility, making it ideal for integration into existing CI/CD pipelines or cloud‑native environments.

Real‑world scenarios benefit from this tight coupling: an AI assistant can automatically spin up a test VM, configure secure networking, run diagnostics, and generate a runbook—all in one conversational session. IT teams can delegate routine maintenance—like rebooting a fleet of edge devices or restoring snapshots—to an assistant, freeing engineers to focus on higher‑value tasks. In DevOps workflows, the server can be invoked by chatops or automated ticketing systems to resolve incidents without manual API interactions.

What sets Slide MCP apart is its single‑binary, zero‑dependency model combined with a meta‑tool strategy that balances simplicity and power. Developers leveraging AI assistants gain a streamlined, expressive interface to Slide’s full feature set, enabling rapid prototyping, automated infrastructure provisioning, and intelligent data protection—all while maintaining strict control over permissions and resource boundaries.