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Dry Run

REMOTE · MCP.MODERNMUSTARDSEED.COM

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

+3 this week 74 Trust /100

Last scanned (17 hours ago)

Scores higher than 66% of remote servers

Reachable. Last reached 22 Oct 2026.

Category Finance and Payments

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security80
Transport & Reachability100
Schema Quality & AI Usability54
  • AI-judged instruction clarity (good).Pass
  • Context-footprint check failed: tool/resource definitions use about 1691 tokens (~563/item across 3 items; 3 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management33
  • Stability observed for 10 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 3 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 4 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 20 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

  • 18 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.

  • 16 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 10 to 13. That category is still filling its 30-day observation window: 3 days of observed history at the previous scan, 4 at this one. The score rises as the window fills, whether or not the server changes.

  • 14 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

  • 13 Oct 26 0
    • Stability: unverified → 0.03 ▲ functional
  • 12 Oct 26 70

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 22 Oct 2026 · Probed https://mcp.modernmustardseed.com/dry-run

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=mcp.modernmustardseed.com CN=YR2,O=Let's Encrypt,C=US 11 Oct 2026 9 Jan 2027 RSA 2048 SHA256-RSA 5037aab1b1b95f22d0713db17fad3a7354f
SANs: mcp.modernmustardseed.com
CN=YR2,O=Let's Encrypt,C=US (CA) CN=Root YR,O=ISRG,C=US 3 Sept 2025 2 Sept 2028 RSA 2048 SHA256-RSA 4ebd24947e24d394802d84a52fd5b319
CN=Root YR,O=ISRG,C=US (CA) CN=ISRG Root X1,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 RSA 4096 SHA256-RSA f24b6d17f9d9ad7cb1c9fea78782699f

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of mcp.modernmustardseed.com. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
com. present 19718 13 Verified
modernmustardseed.com. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200
Header Value
strict-transport-security max-age=63072000
x-content-type-options nosniff
x-frame-options SAMEORIGIN
referrer-policy strict-origin-when-cross-origin
permissions-policy camera=(), microphone=(), geolocation=()

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://mcp.modernmustardseed.com/dry-run Verified 200
http (plaintext) http://mcp.modernmustardseed.com/dry-run HTTPS enforced 308 https://mcp.modernmustardseed.com/dry-run
MCP tools · 3 exposed · ~1,599 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
list_presets ~78

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.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

rank_levers ~735

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.

NameTypeReqDescription
bad_debt_ratenumber–Share of invoiced balances never collected, as a fraction.
close_ratenumber–Share of enquiries that become jobs, as a fraction.
collection_shapenumber–How disciplined customers are about paying on time: 2 is ragged with a long tail of late payers, 6 is disciplined.
credit_aprnumber–Annual interest on the drawn balance, as a fraction. 0.11 is 11 percent.
credit_drawnnumber–How much of the line is already drawn, in dollars.
credit_linenumber–Size of the line of credit, in dollars. 0 for none.
crew_cost_weeklynumber–Fully loaded weekly cost of one crew: wages, burden, fuel, vehicle.
crewsinteger–Crews (or technicians, or production units) working in parallel. One crew delivers one crew-week a week.
fixed_costsarray–Monthly fixed bills such as rent, insurance and equipment notes. Replaces the preset list.
job_typesarray–The kinds of work sold. Replaces the preset list.
leads_cvnumber–Week to week spread of enquiries. Default 0.35.
leads_per_weeknumber–Enquiries in an average week before seasonality.
namestring–Business name, used only to label the result.
opening_backlog_weeksnumber–Crew-weeks of work already sold and waiting to start.
opening_receivablesnumber–Work already invoiced and not yet paid on day one, in dollars.
overhead_weeklynumber–Weekly overhead that runs whether or not anyone works: office, software, admin wages.
owner_draw_weeklynumber–What the owner takes out each week.
presetstring–Starting template: excavation, plumbing, hvac, landscaping, roofing, or general for any other small services business. Every field below overrides it. Default general.
seasonalityarray–Twelve multipliers on enquiry volume, January first. 1 is an average month.
seedstring–Seed for the random draws. The same inputs and seed always return the same answer. Default "dry-run".
start_cashnumber–Money in the bank on the day the year starts, in dollars.
start_monthinteger–Month the simulated year starts, 1 for January. Default: the current month.
surprisesarray–Random setbacks such as a machine breakdown or someone quitting. Replaces the preset list.
tax_ratenumber–Share of profit set aside for tax, paid quarterly.

No output schema declared.

No examples provided.

simulate_cash_year ~786

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.

NameTypeReqDescription
bad_debt_ratenumber–Share of invoiced balances never collected, as a fraction.
close_ratenumber–Share of enquiries that become jobs, as a fraction.
collection_shapenumber–How disciplined customers are about paying on time: 2 is ragged with a long tail of late payers, 6 is disciplined.
credit_aprnumber–Annual interest on the drawn balance, as a fraction. 0.11 is 11 percent.
credit_drawnnumber–How much of the line is already drawn, in dollars.
credit_linenumber–Size of the line of credit, in dollars. 0 for none.
crew_cost_weeklynumber–Fully loaded weekly cost of one crew: wages, burden, fuel, vehicle.
crewsinteger–Crews (or technicians, or production units) working in parallel. One crew delivers one crew-week a week.
fixed_costsarray–Monthly fixed bills such as rent, insurance and equipment notes. Replaces the preset list.
job_typesarray–The kinds of work sold. Replaces the preset list.
leads_cvnumber–Week to week spread of enquiries. Default 0.35.
leads_per_weeknumber–Enquiries in an average week before seasonality.
namestring–Business name, used only to label the result.
opening_backlog_weeksnumber–Crew-weeks of work already sold and waiting to start.
opening_receivablesnumber–Work already invoiced and not yet paid on day one, in dollars.
overhead_weeklynumber–Weekly overhead that runs whether or not anyone works: office, software, admin wages.
owner_draw_weeklynumber–What the owner takes out each week.
presetstring–Starting template: excavation, plumbing, hvac, landscaping, roofing, or general for any other small services business. Every field below overrides it. Default general.
seasonalityarray–Twelve multipliers on enquiry volume, January first. 1 is an average month.
seedstring–Seed for the random draws. The same inputs and seed always return the same answer. Default "dry-run".
start_cashnumber–Money in the bank on the day the year starts, in dollars.
start_monthinteger–Month the simulated year starts, 1 for January. Default: the current month.
surprisesarray–Random setbacks such as a machine breakdown or someone quitting. Replaces the preset list.
tax_ratenumber–Share of profit set aside for tax, paid quarterly.

No output schema declared.

No examples provided.

Install

How do I install the Dry Run MCP server?

Dry Run is a hosted endpoint at https://mcp.modernmustardseed.com/dry-run, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · mcp.modernmustardseed.com

# add to Claude Code
claude mcp add --transport http com-modernmustardseed-dry-run 'https://mcp.modernmustardseed.com/dry-run'
Common questions

What is the Dry Run MCP server?

Dry Run is an MCP server listed in the public MCP registry as com.modernmustardseed/dry-run. Monte Carlo cash-flow simulator for a small services business: odds of running short, and why. This page covers its hosted endpoint (https://mcp.modernmustardseed.com/dry-run).

Is the Dry Run MCP server safe to use?

Dry Run scores 74 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Dry Run MCP server expose?

Dry Run exposes 3 tools: simulate_cash_year, rank_levers, list_presets. Their descriptions and schemas cost roughly 1,599 tokens of context every time the server is loaded.

Does the Dry Run MCP server require authentication?

No. We connected to Dry Run without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the Dry Run MCP server still maintained?

Dry Run is still listed as active in the MCP registry. We last reached this channel on 22 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.