An MCP-capable assistant
Understand the request, explain tradeoffs, and coordinate the work.
Integrations
Howard connects through MCP-capable assistants. Keep the general reasoning and conversation in the model you choose; call Howard when the problem needs a supported engineering calculation, reviewed data, or an explicit evidence boundary.
How it fits
Each system keeps what it already owns. Howard occupies one seat in that row and does not reach into the others.
Understand the request, explain tradeoffs, and coordinate the work.
Structure conditions, run supported calculations and lookups, return references, and refuse unsupported claims.
Own production geometry and configuration.
Own high-fidelity numerical studies.
Own released product records.
Own physical evidence.
Workflow example
Ask the engineering question in your MCP-capable assistant.
Your assistant, your conversation.
The model calls Howard when deterministic physics or reviewed evidence is needed.
The call is the model’s decision, not a mode you switch into.
Howard returns structured results with conditions, units, assumptions, and references.
Or a refusal, where the evidence does not reach the condition.
The model explains the result and identifies missing evidence.
The gap is part of the answer.
You review, revise inputs, and decide what moves into CAD, analysis, supplier review, or test.
You own the decision.
Access and setup
After approval you receive the endpoint, authentication, supported clients, an example configuration, and a five-minute verification question — in authenticated documentation.
Operational credentials and internal implementation detail are not published here, which is why setup begins with an access request rather than a copy-paste snippet.
Howard answers the part of it that needs a supported calculation, a reviewed reference, or an explicit boundary.