Network hardware BOMs, built inside your AI assistant
Scored across 3 tools
Each tool targets a distinct stage of a linear workflow: listing use cases, starting a session, and submitting step input. There is no overlap in purpose, and the descriptions clearly delineate the sequence.
All three tools follow the exact same bom_<verb>_<noun> snake_case pattern. The naming is fully predictable and self-describing.
Three tools is on the thin side, but the session-based conversational design justifies a minimal surface where bom_submit_input drives most of the work. It is well-scoped rather than padded.
The build lifecycle (list → start → iterate) is covered, but the surface implies saved BOMs exist yet offers no tool to retrieve, view, export, or delete a completed/saved BOM. These are notable gaps that could cause dead ends after a session completes.
List available use-case profiles for BOM building. Each use case represents a deployment scenario (e.g. campus access, data center top-of-rack). Start here to understand what kinds of BOMs you can build.
Inputs: no named parameters.
Begin a new BOM building session for a specific use case. Returns a session_id and the first step's options. The session_id must be passed to bom_submit_input for subsequent steps. Use bom_list_use_cases first to see available use case IDs.
Inputs: use_case_id (required).
Submit user input for the current step of a BOM session. The message can be free text or one of the decision_chips returned by the previous step. Returns the updated BOM state, next step options, and decision chips. Continue calling this tool with the session_id until the session reaches the COMPLETE step. Going back or changing an earlier answer removes the affected lines from this in-progress draft; they can be chosen again, and no saved BOM is deleted.
Inputs: message (required), session_id (required).
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
AI helper for choosing and speccing network & security products from Cisco, Arista, Juniper and more
AI-native product and pricing configuration (CPQ) for manufacturers, every rule checked.
AI network lab: build and validate real multi-vendor router and switch labs from a prompt.
Query your books, company data, business health, and ship invoices from your AI assistant.
Add one secure layer between your agents and this server.
