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Itential MCP Server

MCP Server

AI‑powered automation for network operations and platform orchestration

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About

Itential MCP Server connects large language models to the Itential Platform, enabling AI assistants to manage network devices, orchestrate workflows, monitor health, and perform advanced automation tasks.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Itential MCP Server – A Bridge Between LLMs and Network Automation

The Itential MCP Server addresses a common pain point for teams that want to harness large‑language models (LLMs) to control and orchestrate complex network environments. Traditional automation platforms expose REST APIs, CLI commands, or proprietary SDKs that are difficult for AI assistants to consume directly. By implementing the Model Context Protocol, this server translates those native interfaces into a single, AI‑friendly contract. Developers can now let an assistant issue high‑level directives—“deploy a new VLAN across all core switches”—and have the server resolve that into the appropriate API calls, command templates, or workflow triggers.

At its core, the server offers a rich set of tools that map to Itential Platform capabilities. These tools are discovered automatically, tagged for fine‑grained selection, and made available through multiple transports (stdio, SSE, HTTP). Flexible authentication—supporting both basic auth and OAuth 2.0—ensures that the same toolset can be used in isolated dev environments or production deployments without code changes. The server also provides an extensible prompt system and sampling controls, allowing developers to shape how the LLM interprets and formats requests before they hit the underlying platform.

For network automation, the MCP server exposes primitives for device management, command execution, compliance checks, and golden configuration enforcement. An AI assistant can trigger a backup of all routers in a site or roll out a standardized configuration template across a device group, with the server handling all underlying API interactions. Workflow and orchestration tools let assistants start, monitor, and cancel automation workflows, manage job lifecycles, and integrate with external services via the platform’s lifecycle manager. The server even supports real‑time health monitoring, giving assistants visibility into component status and enabling proactive alerts.

Real‑world scenarios include:

  • Rapid provisioning of new network segments by having an assistant interpret a natural‑language request and launch the corresponding Itential workflow.
  • Compliance auditing where an assistant runs scheduled checks across thousands of devices, aggregates results, and surfaces a concise report.
  • Operational incident response that lets support staff ask an assistant to diagnose and remediate a service outage, with the server translating that into device diagnostics and configuration changes.

By presenting these capabilities through MCP, the Itential server lets developers embed sophisticated network automation directly into AI workflows. Whether building a chatbot for field engineers, automating routine maintenance tasks, or integrating network operations with business applications, the server offers a unified, secure, and extensible interface that turns complex platform APIs into conversationally accessible actions.