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Worthune Verified Financial Models

61 verified financial models for household planning, tax optimization, and retirement coordination with independent spec

Connects to Worthune's financial calculation engine for multi-year household projections, tax planning, Social Security claiming, Roth conversions, withdrawal sequencing, and asset location strategies. Muse can run deterministic and Monte Carlo projections, verify financial claims, and generate advisor-ready narratives.

Try asking Muse: "Show me a five-year projection of my household cash flow, taxes, and net worth with different Roth conversion strategies."

Working now?
Working
Worked last 7 days
100% of checks
How to get it
Extra setup
Account
No account needed
Price
Not stated

Source: Found in the official MCP Registry (com.worthune/models) · First listed September 24, 2026

Last 24 hours

Each bar is one check, every 15 minutes. Green means it answered. Last checked 2 h ago.

Is it safe to connect?

What Muse can see: It does not ask you to sign in, so it cannot see your accounts. It only sees what Muse sends it from your request.

Before it acts: Read what Muse plans to do before you approve it, and remove the app from Muse when you stop using it.

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How to add it to Muse

Not in Muse's Connectors list yet, but Muse can still use it. Copy the request below and paste it into Muse. Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Open Muse
https://worthune.com/api/mcp/mcp

Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.

Technical details: safety screening, tools, response time and recent checks

Response time at the last check: 1568ms. Worked in 100% of checks over 30 days.

Screening · September 24, 2026

Screened, no issues found

MCP handshake
Pass
Answered in 537ms
Domain against threat feeds (Cloudflare security DNS)
Pass
worthune.com not flagged
Published packages against the OSV malicious-package database
n/a
No npm or PyPI package published
Hidden instructions or invisible characters in tool text
Pass
20 tools read, nothing found
Inputs asking for passwords, card numbers or seed phrases
Pass
None found
Domain and redirects
Pass
No redirects off the domain
AI review of purpose and tool behavior
Pass
No concerns

Screening looks for known threats and hidden instructions at the time of the check, and runs again weekly and whenever the tool list changes. It cannot see the server's code, so only connect what you need and review what Muse asks to do. How screening works.

Tools · 20

list_modelsList Worthune's Concordance-tested financial calculation models (an independent second implementation must agree with the engine, per the published spec). Returns model names and spec versions. Call get_model_contract before running a model.
get_model_contractGet a model's machine-readable contract: required inputs with types and valid domains, cross-field constraints, sentinel-value meanings, and the government constants (with sources) the model uses. Set include_spec to also receive the full specification markdown (exact formulas, a
run_modelRun a Concordance-tested calculation model. Inputs must satisfy the contract from get_model_contract (all fields required, values inside their domains — out-of-domain requests are rejected, never clamped). The response echoes inputs, spec version, assumptions, triggered sentinels
verify_claimVerify claims about a model's outputs against the engine before presenting them to a user. Pass the model inputs plus one or more claims ({path, op, value}); each claim comes back verified, violated, or out-of-scope, with the engine's computed value as proof and a decision-record
create_householdCreate a persistent household resource from a household-schema document (docs/household-schema-spec.md: members, accounts by tax wrapper, liabilities, income and expense streams). Validation rejects with JSON-path errors — fix the payload in one pass. Returns the household id to
get_householdFetch a stored household document and its metadata by id.
list_householdsList the organization's stored households — id, label, advisorRef, version, status, when it was last computed — without the documents (get_household returns one in full). Defaults to active households; GET /api/v1/households returns every status — pass status: "all" for the same
archive_householdArchive a stored household (never deleted: the row stays readable, leaves the active-household meter, and stops accepting writes or projections). The same operation as DELETE /api/v1/households/{id}.
list_decisionsThe append-only history of coordination strategies run on a stored household, newest first — id, strategy, spec version, household version, record hash, when. Metadata only; get_decision returns one in full. Same as GET /api/v1/households/{id}/decisions.
get_decisionOne stored decision in full: the decision object as it was produced, the household version it ran against, and its evidence record with the hashed inputs — enough to re-verify it with /api/v1/records/verify or the SDKs' verifyRecord. Decisions stored before their inputs were reta
get_household_pictureOne household, one picture: the balance sheet by wrapper and owner, income and spending this year, how current the last computation is against the engine's spec (the same drift reasons the weekly scan delivers), the newest decisions, and a data-quality report naming what is missi
replace_householdFull-document replace with optimistic concurrency: pass expectedVersion (from get_household) and a stale write loses cleanly with the current version instead of clobbering a concurrent change.
patch_householdApply a collection-level delta to a stored household without resending the whole document: set scalars (filingStatus, state), upsert entries by id (replace or append), remove entries by id. expectedVersion (from get_household) is REQUIRED — a delta is only meaningful against a ve
project_householdRun the deterministic multi-year projection on a stored household — income, RMDs, federal + covered state tax, expenses, amortization, cash flow, net worth per year — optionally with seeded Monte Carlo (same seed, same result). Assumptions: pass your own, pin a profile by id+vers
list_example_householdsTwelve FICTIONAL households, each built to exercise a different part of the planning engine — accumulation, a Roth conversion window, drawdown on a low-basis portfolio, spousal Social Security coordination, running out of money, negative amortization, and more. Use one as a start
try_household_projectionRun the deterministic multi-year household projection on a document you pass in — income, RMDs, Roth conversions, federal and covered-state tax, expenses, amortization, the tax-grossed-up deficit draw, and net worth per year — optionally with a seeded Monte Carlo. NO API KEY, and
import_householdsMigrate a book (WS3.5): import up to 200 households in one call, with dryRun: true validating everything and writing NOTHING — iterate until the per-row, per-field report is clean, then run for real. Two shapes: households[] of { importKey, label?, household } documents, or templ
draft_import_mappingWS3.5c: AI drafts the mapping; determinism executes it. Send up to 10 sample records from an export (column → string cell) and get back a DRAFT mapping template for import_households' template + records path. Three deterministic gates run before anything returns: strict JSON, the
narrate_decisionThe Verified Narrative: client- or advisor-ready prose for a stored decision (decision_id) or an inline decision object. A model drafts the narrative FROM the decision; a deterministic gate then extracts every number in the draft and verifies each against the decision's own value
decide_householdRun a Household Coordination Engine strategy on a stored household and get back a ranked decision object with evidence records. Strategies: withdrawal-sequencing (no params); roth-ladder (params.candidates: [{annualAmountUsd, years}]); ss-claiming (params.candidateAges?: {memberI

Recent checks

2026-09-28 06:46:06live · HTTP 2001568ms
2026-09-28 04:31:02live · HTTP 200406ms
2026-09-28 02:15:50live · HTTP 2001210ms
2026-09-27 23:46:06live · HTTP 200259ms
2026-09-27 21:30:55live · HTTP 2001705ms
2026-09-27 19:15:52live · HTTP 200477ms
2026-09-27 16:46:21live · HTTP 2002043ms
2026-09-27 14:46:30live · HTTP 2002255ms
2026-09-27 12:31:16live · HTTP 2003693ms
2026-09-27 10:15:53live · HTTP 2002281ms
2026-09-27 07:46:21live · HTTP 200521ms
2026-09-27 05:31:22live · HTTP 2002592ms

Link

https://worthune.com/api/mcp/mcp

Questions about Worthune Verified Financial Models in Muse

How do I connect Worthune Verified Financial Models to Muse?

Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use Worthune Verified Financial Models to help me. It is a free service with an MCP server at https://worthune.com/api/mcp/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Is Worthune Verified Financial Models working right now?

At the last check (September 28, 2026, 06:46 UTC) the endpoint was working, answering in 1568ms. Over the last 7 days it answered 100% of health checks. It is checked every 15 minutes.

Is Worthune Verified Financial Models safe to connect to Muse?

It was screened on September 24, 2026 with the result "screened, no issues found". Screening checks the domain against threat feeds and reads the tools for hidden instructions and requests for passwords or card numbers. It cannot see the server's code, so grant only the access you need.

What can Worthune Verified Financial Models do in Muse?

It exposes 20 tools, including list_models, get_model_contract, run_model, verify_claim. For example, you could ask Muse: "Show me a five-year projection of my household cash flow, taxes, and net worth with different Roth conversion strategies."

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