io.github.Kromatic-Innovation/neumann

up checked 2026-11-10T22:38:00.528Z

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Publisher-provided title

Neumann

Publisher-provided description

Monte Carlo ranges for uncertain plans: project cost, budget, timeline, capacity, NPV/IRR/payback.

Summary by lookupd

Runs Monte Carlo simulations on uncertain plans to produce outcome ranges, sensitivity rankings, and cost estimates for project and…

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http neumann https://neumann.kromatic.com/mcp

Codex, remote (streamable-http)

codex mcp add neumann --url https://neumann.kromatic.com/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "neumann": {
      "url": "https://neumann.kromatic.com/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (11 tools)

Publisher-provided text

• 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 Checks on, and reads, a run you started with run_monte_carlo_simulation, rank_inputs_by_impact or summarize_outcome_scenarios, using its run_id. Use this when a
• 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 Sends a short report about Neumann to the team that builds it. They read every report and use it to fix problems and decide what to build, so honest feedback, g
• 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

Changes

Newest first, as lookupd saw them

• 2026-11-11: version 0.2.38 → 0.2.47

Details

• Version: 0.2.47
• Transports: streamable-http
• Uptime (7 days): 100%
• Median latency: 588 ms
• First indexed: 2026-11-01T09:11:35.191Z
• Last seen in registry: 2026-11-11T15:17:16.091Z
• Website: https://kromatic.com/mcp/neumann

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