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."
Source: Found in the official MCP Registry (com.worthune/models) · First listed September 24, 2026
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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.
https://worthune.com/api/mcp/mcpNot in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
Worthune Verified Financial Models is a remote MCP server, so any assistant that can add a custom connector by link can use it. Same link, same tools.
In ChatGPT, open Settings, then Connectors (called Apps & Connectors on some accounts).
Under Advanced settings, switch on Developer mode. That is what lets you add a connector by link.
Choose Create, give it a name, paste the link as the MCP server URL, and save. If it needs a sign-in, ChatGPT asks for it here.
Start a chat, open the tools menu, pick the connector, and ask. ChatGPT asks before it runs a tool the first time.
Custom connectors need a paid ChatGPT plan, and on Team, Enterprise and Edu accounts only an admin can add them. Our "Working" label means the server answered us; it cannot tell whether your plan lets you add it. All connectors that work in ChatGPT
In Claude, open Settings, then Connectors.
Choose Add custom connector, give it a name, and paste the link.
If it needs a sign-in, Claude sends you to it. Then turn the connector on in a chat from the tools menu and ask.
Custom connectors are available on paid Claude plans; on Team and Enterprise accounts an admin may need to add them. Our "Working" label means the server answered us; it cannot tell whether your plan lets you add it. All connectors that work in Claude
https://worthune.com/api/mcp/mcpResponse time at the last check: 470ms. Worked in 99.5% of checks over 30 days.
Screened, no issues found
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.
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, arun_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 sentinelsverify_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-recordcreate_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 retaget_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 missireplace_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 veproject_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+verslist_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 starttry_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. NOTHING IS STORimport_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 templdraft_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, thenarrate_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 valuedecide_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?: {memberIcreate_mandateAssign a standing mandate: strategy-watch (one household, the strategies you choose), tax-optimization (one household, minimize-lifetime-tax, the tax strategies) or rules-change (the whole book, Growth and above: when tax rules or your assumption profile change, finds and ranks elist_mandatesThe organization's mandates, newest first, optionally for one household or status, with an alert listing trigger events left open over an hour. Any key role. Same as GET /api/v1/mandates.get_mandateOne mandate and its last 20 cycles, each with the strategies swept and the gate's reason for every candidate it did not propose (below the floor, cooldown, duplicate, max open), so 'why did nothing happen?' has an answer. Any key role. Same as GET /api/v1/mandates/{id}.run_mandateRecord a manual trigger and run the mandate's cycle now: sweep its strategies on the household's current version, store each decision, and file proposals that clear the gate. Returns the cycle; read proposals with list_proposals and the reasons with get_mandate. Developer or ownelist_proposalsProposals Lodestar filed for a person to decide, newest first, optionally filtered by status (pending, approved, rejected, expired, superseded, stale, withdrawn), mandate or household. Each carries the recommendation and its intents verbatim from the decision, the projected valuereview_proposalDecide one pending proposal. APPROVER OR OWNER KEY ONLY: developer and viewer keys are refused, so the key that configures mandates cannot sign off their output. approve executes nothing; it writes one signed projected-value ledger entry (a re-pin proposal moves the mandate to thget_ledgerLedger entries written by approvals, newest first, optionally for one mandate or household, with the total. Each is an evidence record (hash over its inputs and outputs, Ed25519-signed with the key at /api/v1/records/keys) naming the stored decision it came from. Values are PROJElist_questionsLodestar's questions about one field of a household's data (a taxable account with no cost basis, a Social Security stream with no amount, living expenses of zero), asked by deterministic checks in every household cycle; at most one open per mandate. Filter by status (open, answeanswer_questionAnswer one open question. value proposes the corrected field as a data-change proposal that an approver or owner must approve before anything is written; confirm: true records that the data is right, and the same check will not ask about the field again. Send exactly one of them.manage_preferencesAn advisor's standing preferences, which the gate enforces in every cycle: avoid-strategy (optionally until a date), min-value for a strategy, max-annual-conversion, avoid-alternative. action list (any role); add (an approver or owner key confirms it at once, a developer key onlyhttps://worthune.com/api/mcp/mcpNot 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.
At the last check (November 13, 2026, 15:45 UTC) the endpoint was working, answering in 470ms. Over the last 7 days it answered 100% of health checks. It is checked every 15 minutes.
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.
It exposes 30 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."
This listing was added from public sources (Found in the official MCP Registry (com.worthune/models)). If you build Worthune Verified Financial Models, claim it to correct the details and get your badge.
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