Skip to main content
Glama

Dry Run

Server Details

Monte Carlo cash-flow simulator for a small services business: odds of running short, and why.

If you are the author of this connector, you can claim ownership by verifying the domain or GitHub account it belongs to. Claimed connector authors can inspect health checks, view analytics, and manage their listing.
Status
Healthy
Last Tested
Transport
Streamable HTTP ยท MCP 2025-11-25
URL

TDQS

Score is being calculated.

Available Tools

3 tools
list_presetsList presets
Read-onlyIdempotent
Inspect

List the six built-in business presets (excavation and septic, plumbing and drain, heating and cooling, landscaping and snow, roofing, and a general small services business) with every default input in the exact field names a simulation accepts, and the revenue, costs and profit each makes at its own averages. Static reference: no network access.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

rank_leversRank levers
Read-onlyIdempotent
Inspect

Test nine single changes a small business owner can make and rank them by how much each lowers the chance of running short of money in the next 52 weeks, with the change in year-end money as a tiebreak. The levers: take a third up front, take 15 days off payment terms, raise prices 5 percent, take a fifth less owner draw for six months, cut overhead 10 percent, raise the credit line by half, run one crew lighter, add a crew, and buy three more enquiries a week. Each lever and the baseline run 3,000 simulated years with the same seed, so the difference is the lever and not the luck. Takes the same business description as a cash year simulation: a preset plus any overridden inputs. Pure arithmetic: no network access, nothing stored.

ParametersJSON Schema
NameRequiredDescriptionDefault
nameNoBusiness name, used only to label the result.
seedNoSeed for the random draws. The same inputs and seed always return the same answer. Default "dry-run".
crewsNoCrews (or technicians, or production units) working in parallel. One crew delivers one crew-week a week.
presetNoStarting template: excavation, plumbing, hvac, landscaping, roofing, or general for any other small services business. Every field below overrides it. Default general.general
leads_cvNoWeek to week spread of enquiries. Default 0.35.
tax_rateNoShare of profit set aside for tax, paid quarterly.
job_typesNoThe kinds of work sold. Replaces the preset list.
surprisesNoRandom setbacks such as a machine breakdown or someone quitting. Replaces the preset list.
close_rateNoShare of enquiries that become jobs, as a fraction.
credit_aprNoAnnual interest on the drawn balance, as a fraction. 0.11 is 11 percent.
start_cashNoMoney in the bank on the day the year starts, in dollars.
credit_lineNoSize of the line of credit, in dollars. 0 for none.
fixed_costsNoMonthly fixed bills such as rent, insurance and equipment notes. Replaces the preset list.
seasonalityNoTwelve multipliers on enquiry volume, January first. 1 is an average month.
start_monthNoMonth the simulated year starts, 1 for January. Default: the current month.
credit_drawnNoHow much of the line is already drawn, in dollars.
bad_debt_rateNoShare of invoiced balances never collected, as a fraction.
leads_per_weekNoEnquiries in an average week before seasonality.
overhead_weeklyNoWeekly overhead that runs whether or not anyone works: office, software, admin wages.
collection_shapeNoHow disciplined customers are about paying on time: 2 is ragged with a long tail of late payers, 6 is disciplined.
crew_cost_weeklyNoFully loaded weekly cost of one crew: wages, burden, fuel, vehicle.
owner_draw_weeklyNoWhat the owner takes out each week.
opening_receivablesNoWork already invoiced and not yet paid on day one, in dollars.
opening_backlog_weeksNoCrew-weeks of work already sold and waiting to start.
simulate_cash_yearSimulate a cash year
Read-onlyIdempotent
Inspect

Simulate the next 52 weeks of a small services business 10,000 times (Monte Carlo) and report the chance it runs short of money, the week that is most likely to happen, reachable money (bank balance plus unused credit) week by week at the 10th, 50th and 90th percentile, the drivers that separated the futures that ran short from the ones that survived, and the profit the business makes at its own averages. Start from a trade preset (excavation, plumbing, hvac, landscaping, roofing, or general) and override any input: cash, credit line, money owed to the business, work already sold, crews and their weekly cost, overhead, owner draw, monthly bills, enquiries, close rate, seasonality, job types with value, materials, deposit and payment terms, bad debt, tax, and random setbacks. Money is in dollars and rates are fractions (0.3 is 30 percent). The same inputs and seed always return the same answer. Pure arithmetic: no network access, nothing stored.

ParametersJSON Schema
NameRequiredDescriptionDefault
nameNoBusiness name, used only to label the result.
seedNoSeed for the random draws. The same inputs and seed always return the same answer. Default "dry-run".
crewsNoCrews (or technicians, or production units) working in parallel. One crew delivers one crew-week a week.
presetNoStarting template: excavation, plumbing, hvac, landscaping, roofing, or general for any other small services business. Every field below overrides it. Default general.general
leads_cvNoWeek to week spread of enquiries. Default 0.35.
tax_rateNoShare of profit set aside for tax, paid quarterly.
job_typesNoThe kinds of work sold. Replaces the preset list.
surprisesNoRandom setbacks such as a machine breakdown or someone quitting. Replaces the preset list.
close_rateNoShare of enquiries that become jobs, as a fraction.
credit_aprNoAnnual interest on the drawn balance, as a fraction. 0.11 is 11 percent.
start_cashNoMoney in the bank on the day the year starts, in dollars.
credit_lineNoSize of the line of credit, in dollars. 0 for none.
fixed_costsNoMonthly fixed bills such as rent, insurance and equipment notes. Replaces the preset list.
seasonalityNoTwelve multipliers on enquiry volume, January first. 1 is an average month.
start_monthNoMonth the simulated year starts, 1 for January. Default: the current month.
credit_drawnNoHow much of the line is already drawn, in dollars.
bad_debt_rateNoShare of invoiced balances never collected, as a fraction.
leads_per_weekNoEnquiries in an average week before seasonality.
overhead_weeklyNoWeekly overhead that runs whether or not anyone works: office, software, admin wages.
collection_shapeNoHow disciplined customers are about paying on time: 2 is ragged with a long tail of late payers, 6 is disciplined.
crew_cost_weeklyNoFully loaded weekly cost of one crew: wages, burden, fuel, vehicle.
owner_draw_weeklyNoWhat the owner takes out each week.
opening_receivablesNoWork already invoiced and not yet paid on day one, in dollars.
opening_backlog_weeksNoCrew-weeks of work already sold and waiting to start.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 3 tool updates
    • First observedlist_presets
    • First observedrank_levers
    • First observedsimulate_cash_year

Related MCP Connectors

Related MCP Servers

  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables institutional-grade Monte Carlo risk analysis for portfolios, startups, real estate, and betting strategies using fat-tail distributions and proprietary algorithms. Provides comprehensive risk metrics including CVaR, VaR, ruin probability, and survival probability across multiple asset classes.
    1
    -
  • A
    license
    A
    quality
    A
    maintenance
    A deterministic what-if scenario simulation MCP server that projects business metrics over time with exact decimal arithmetic, offering sensitivity analysis and break-even solving.
    6
    31 npm
    1
    MIT
  • F
    license
    Not graded
    quality
    A
    maintenance
    MCP server for 13-week cash flow planning. It generates a survival calendar and identifies the week cash goes negative, with real Excel formulas.
    -
  • A
    license
    Not graded
    quality
    C
    maintenance
    Real Monte Carlo simulation of a compound event or conditional probability. Named random variables, a safe expression interpreter, seedable for reproducibility. Priced per call via x402/USDC on Base.
    1
    MIT
Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources