neumann

Name: neumann
Author: Kromatic-Innovation

MCP serverMCP

Turns a guessed number into a sampled distribution — percentiles, NPV/IRR/payback, sensitivity.

by Kromatic-Innovationrepository ↗v0.1.5

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Evidence

Everything here was measured by our prober or read from a registry. Nothing is self-reported.

30-day availability3/3 checks ok

30 days ago

Tools observed via MCP handshake

run_monte_carlo_simulation — Runs a Monte Carlo simulation of a model and returns the full range of possible outcomes, not one guessed number. A model is a set of uncertain inputs, the form
rank_inputs_by_impact — Ranks a model's uncertain inputs by how much each one moves a chosen outcome, and returns the data for a tornado chart. A tornado chart is a bar chart with one
summarize_outcome_scenarios — Runs a model once and reports one outcome's worst, median and best values. By default, worst is the lowest value in any trial, median is the middle value, and b
check_simulation_model — Checks a model for mistakes before you run it and lists every problem it finds. It looks for loops with no delay, nodes that are not connected, unknown distribu
estimate_simulation_size_and_cost — Predicts how large a run of a model will be and how many credits it will cost, without running it. Use this before running a large or unfamiliar model, or to ch
convert_range_to_distribution — Turns a low-to-high guess, such as "between 80 and 120, 90% sure", into the exact parameters a model input needs. A distribution is the shape of the uncertainty
convert_distribution_to_range — Turns a distribution's parameters into the low and high ends of the range that holds a chosen share of outcomes, by default the middle 90%. It also gives the me
get_simulation_results — Gets the saved status and summary of a simulation you already ran, using its run_id. Use this when you need an earlier result again, for example in a later turn
check_account_and_credits — Shows who Neumann thinks you are and what you can still do: your credit balance if you have an account, or your free runs left today and when they reset if you
send_feedback — Emails your feedback, feature request or bug report to the Neumann team, with a copy to the email address you give. Use this when something in Neumann is wrong,
buy_credits — Buys Neumann credits by charging the payment card already saved on your account. Credits pay for simulations run with an account. Use this when an account is lo

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No long description beyond the summary.

kind Official MCP Registry

name Official MCP Registry

repoUrl Official MCP Registry

summary Official MCP Registry

version Official MCP Registry

description Official MCP Registry

publisherName Official MCP Registry

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Official MCP Registryio.github.Kromatic-Innovation/neumann

first seen 18 h ago · fetched 18 h agoopen ↗

Field history (6 recent events)

18 h ago · declared · summary → "Turns a guessed number into a sampled distribution — percentiles, NPV/IRR/payback, sensitivity."
18 h ago · declared · description → "Turns a guessed number into a sampled distribution — percentiles, NPV/IRR/payback, sensitivity."
18 h ago · declared · publisherName → "Kromatic-Innovation"
18 h ago · declared · repoUrl → "https://github.com/Kromatic-Innovation/neumann"
18 h ago · declared · version → "0.1.5"
18 h ago · declared · protocols → ["mcp"]

when	check	result	http	latency	detail
2 h ago	mcp initialize	ok	200	106 ms	server neumann 0.2.10 · protocol 2025-06-18 · 11 tools
9 h ago	mcp initialize	ok	200	192 ms	server neumann 0.2.6 · protocol 2025-06-18 · 12 tools
17 h ago	mcp initialize	ok	200	111 ms	server neumann 0.2.6 · protocol 2025-06-18 · 12 tools

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