Provides AI assistants with direct access to multi-vendor network devices for tasks like configuration management, health checks, and topology discovery through 35 specialized tools. It enables natural language control over platforms including Cisco, Juniper, and Nokia using SSH, NETCONF, and SNMP protocols.
An integration that enables AI assistants to interact with network data through a standardized protocol, providing AI-ready tools and interfaces for network automation and management.
Enables LLMs to interact with Hyperfabric infrastructure management APIs, providing access to 79 endpoints for managing fabrics, devices, networks, VNIs, VRFs, and other network infrastructure components.
Enables AI assistants to manage network devices via gNMI protocol, including querying capabilities, reading/modifying configurations, and subscribing to telemetry data through natural language.
Enables AI agents to directly inspect, configure, test, and orchestrate network devices through pyATS/Genie, including show command parsing, config rollback, feature state learning/diffing, fleet-wide command fan-out, and declarative test execution.
