neumann

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as io.github.Kromatic-Innovation/neumann and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

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Tools this endpoint exposes

Read directly from the endpoint on 28 Oct 2026. Not supplied by the maker.

• run_simulation

  Runs a Monte Carlo simulation over a graph of probabilistic root and calculated nodes, returning the full output distribution instead of one guessed number. Use this when you need the range and likeli

• oat_sensitivity

  Runs a one-at-a-time tornado sensitivity analysis: sweeps each root node over a set of quantiles (others held at baseline) and measures how the target node responds, ranked by impact. Use this when yo

• scenario_analysis

  Runs a simulation once and summarises a target node's worst/median/best outcomes (any percentiles), each paired with a best-effort driving input per root node. Use this when you need a quick worst-cas

• validate_graph

  Checks a graph for structural problems (cycles, dangling edges, unknown distributions, missing refs) before you run it, returning a list of issues by rule and severity. Use this when you built or edit

• estimate

  Pre-flight-sizes a graph without running it: estimated peak memory, engine complexity, which tier (small/large) it would run as, and the credit cost. Use this when you want to know what a run will cos

• solve_distribution_parameters

  Converts a human-style estimate (a min/max range at a stated confidence, or a most-likely value) into the distribution_params a root node needs. Use this when you have a rough verbal estimate like 'be

• get_results

  Fetches the status and, once available, the summarised result for a previously-submitted run by its run_id. Use this when you want to re-check or re-fetch a run you already submitted (e.g. via run_sim

• feedback

  Sends feedback, a feature request, or a bug report straight to the Neumann team, CC'ing your sender_email so you keep a copy. Use this when something about the service is wrong, missing, or confusing