Finance Toolkit
500+ transparent financial methods calculated from raw statements, not third-party endpoints.
Descripción del creador (original en inglés)
Log decisions with expectations, add evidence, and track metrics in Ledger.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
AuthorizationLos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Esta dirección necesita una clave en un header de la solicitud, y el menú para agregar conectores no puede ponerla. Usa Claude Code, Cursor o VS Code.
Ejecuta esto en tu terminal
claude mcp add --transport http ledger https://api.zerowidth.ai/mcp/x/ledger --header 'Authorization: your-value'Completa los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"ledger": {
"url": "https://api.zerowidth.ai/mcp/x/ledger",
"headers": {
"Authorization": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"ledger": {
"type": "http",
"url": "https://api.zerowidth.ai/mcp/x/ledger",
"headers": {
"Authorization": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Esta dirección necesita una clave en un header de la solicitud, y el menú para agregar conectores no puede ponerla. Usa Claude Code, Cursor o VS Code.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Authorization secreto HTTP headerEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Nombres y descripciones de las herramientas tal como los informó el servidor el 8 nov 2026. Los escribió el creador, no nosotros; los mostramos como texto sin formato.
search_docsSearch ZeroWidth product documentation. Returns matching pages with title, slug, public URL, and a query-relevant snippet. Use this when the user asks about a ZeroWidth product (Compass, Workbench, Caliper, Prism, Ledger, Napkin, the assistant), an API behavior, or a policy. No a
get_docFetch the full Markdown body of a specific docs page by its slug. Use this after `search_docs` when the user needs the complete content of a page. No authentication required.
list_docsEnumerate all available docs pages, optionally filtered by product (e.g. 'compass', 'legal', 'overview'). Use this to discover what slugs exist before calling `get_doc`. No authentication required.
ledger_entries_listThe workspace's memory: decisions (changes with pre-registered expectations), lessons (distilled beliefs), and observations (captured facts). CONSULT BEFORE ACTING — before proposing a flow change, prompt edit, or process decision, filter by the Compass page it touches (compassPa
ledger_entries_getOne entry's full anatomy — the six fields, attached evidence (Caliper runs, measurements, observations), and the supersede chain (what replaced it, or what it replaced). Cite entry ids when telling the user about prior related decisions.
ledger_entries_createRecords a memory entry. Every entry is a TITLE (`summary`: one short plain sentence) over a BODY (`rationale`: the detail, markdown welcome) — never put the detail in the title. Three kinds: `decision` — a change being made now; PRE-REGISTRATION IS THE POINT, so `prediction` (wha
ledger_entries_settleThe ritual moment: evidence has landed, the expectation closes, the lesson is written. Only propose settlement when attached evidence actually answers the prediction — check `ledger_entries_get` first and cite the evidence in the lesson. `lesson` (what we now believe) is required
ledger_metrics_listThe numbers the workspace watches — each with unit, latest reading, and how many open decisions are bound to it. Consult when a user mentions a number that sounds like a tracked metric, and before recording a reading.
ledger_metrics_createCreate a metric — a number the workspace watches (triage time, weekly signups, cost per run). Check ledger_metrics_list first; names are unique per workspace. When a user says they want to track or measure something, offer this. May return `needs_confirmation`.
ledger_metrics_record_readingRecord one observation of a tracked metric. `metricId` accepts a metric id OR its snake_case slug from ledger_metrics_list; an unknown one is a not_found error — check ledger_metrics_list, create it with ledger_metrics_create, or pass `createIfMissing: true` to mint a "measure" m
ledger_metrics_getOne metric's definition (unit, kind, direction, target, cadence) plus its readings newest first and the open decisions bound to it. Use before answering 'how is X trending?' or before recording a reading against it. `metricId` accepts the id or the snake_case slug from ledger_met
ledger_entries_updateCorrects an entry in place — its title (summary), body (rationale), the pre-registered prediction of an OPEN decision (null clears it), or its facet (filing category; editable even after settlement). Works on open decisions, and on lessons, observations, and beliefs (they carry n
ledger_entries_retractTakes an entry out of the curated ledger — THE remedy when you recorded something wrong (a decision that wasn't made, a duplicate, a fact the user corrects). Reversible from Ledger and fully audited, so it is safe to offer as soon as the user says 'that's not right'. Not for over
ledger_entries_add_evidenceRecords what happened against an open decision — a manual observation the user reports ('the pilot team says triage feels faster'), an implementation note, or a reference to a Caliper run. Evidence is what settlement later reads, so attach it as it arrives and cite it in the less
ledger_metrics_updateCorrects a metric's name, unit, description, kind (measure / event), direction (which way is good), target, cadence, icon, level, or the metrics it drives (its place in the metric tree). Readings are untouched. Only what you pass changes. The slug is not editable here — external
ledger_metrics_archiveTakes a metric out of the gallery (`archived: true`) or puts it back (`false`). Readings stay, and entries that settled against it still read correctly — this is the cleanup for a metric minted once and abandoned, or one the workspace stopped watching. `metricId` accepts the id o
ledger_plan_listPass `entryId` for one decision's plan items, or `from` + `to` (YYYY-MM-DD, at most about a year apart) for the calendar: decision spans (recorded day → expectation deadline) plus every dated item inside the window, including standalone dates with no decision. Filter the calendar
ledger_plan_addAdds a plan item to an OPEN decision (the work that carries it out: a post, a launch step, an email). Omit entryId for a standalone date (a holiday, an event you're only watching). Items are all-day unless you pass startTime with timeZone (and optionally endTime), for a webinar,
ledger_plan_updateEdits one plan item while its decision is open: move it (dueOn), rename it, change the owner (null clears), attach the link, or set status (planned | done | skipped). Mark done only when the user says it shipped; a link alone doesn't mean done. Fails with conflict once the decisi
ledger_plan_deleteRemoves one plan item while its decision is open, for an item added by mistake or work that's no longer planned. If the work was planned and then dropped, prefer ledger_plan_update with status 'skipped' so settlement can see it. Fails with conflict once the decision is settled. M
ledger_metric_presets_listReady-made metrics a business can start tracking, each with a unit, a cadence, which direction is good, a business surface (facet), and cross-cutting tags. Reach for this when a workspace has few or no metrics, when someone asks what they should be measuring, or when a decision n
ledger_metric_presets_adoptCreates the named presets as real metrics the workspace owns, tagged from the catalog. Safe to repeat: a preset the workspace already has comes back `already_present` rather than creating a second series, and a workspace's own renames and targets are never overwritten. Adopt only
ledger_metric_starters_listStarter trees by shape of business or team (subscription software, services firm, online store, sales team, service operation). Each lists its metrics with a level (outcome / driver / activity) and the links between them (which number moves which). Reach for this before ledger_me
ledger_metric_starters_adoptCreates a starter's metrics at their levels and links them. Pass `slugs` to keep only some of its metrics; links are made only where both ends exist. Safe to repeat and safe after a different starter: metrics the workspace already has are left as they are and get linked into the
ledger_entries_draftWrites up to 50 entries as DRAFTS: proposals that stay out of the record until a person confirms each one in Ledger's Drafts view. Use it for entries you found rather than were told — decisions in meeting notes, or a team's past changes read from its tracker, pull requests or lau
ledger_feed_sources_listThe connected servers this workspace exposes to you, with the id a feed needs. Their tools appear to you namespaced as `ext__ __ ` — call one directly to see what it returns before proposing a feed. A server the workspace has switched off for you is not listed and cannot be fed f
ledger_feeds_listThe standing instructions for how metrics' numbers arrive — which tool each one calls, how often, and how the last run went. Check before proposing a feed so you don't duplicate one, and consult when a user asks why a metric is stale: a feed with a failing last run is usually the
ledger_feeds_previewCall a connected server's tool once and see what a mapping would pull out of the response — nothing is written and no feed is created. Send no `mapping` for a first look: you get a sample of the response plus the paths that hold numbers. Then send a mapping to confirm it finds th
ledger_feeds_createFreeze a tool call as a metric's standing source: it runs on the cadence you give and records what it finds, with no model involved. `metric` takes an id or a snake_case slug; an unknown slug starts tracking that metric. Confirm the mapping with ledger_feeds_preview first. Tell t
ledger_feeds_updateChange a feed's arguments, mapping, cadence, or pause it. Reach for this when a feed's last run reports `empty` (the response shape moved, so the mapping needs a new path) or `error`. Changing the mapping changes what the number means, so say what you're changing and why. May ret
ledger_feeds_runRun a feed immediately over its own window and record what it finds. Use it right after creating one to prove the mapping works — a run that comes back `empty` names the path that missed, which is what you fix with ledger_feeds_update. Does not move the feed's schedule. Re-runnin
ledger_feeds_backfillRun the same frozen instruction over a past range, so a metric has history instead of starting the day it was set up. Offer this whenever you create a feed — a chart with a year behind it is worth far more than one that begins today, and an expectation can be judged against what
ledger_feeds_deleteRemove a feed. The readings it already wrote stay — the series is the record and outlives the instruction. Prefer pausing with ledger_feeds_update when the user might want it back. May return `needs_confirmation`.
comments_listLists the comment threads on one workspace entity (open first, then resolved) with authors and timestamps. Read this before weighing in on contested work — the threads are where disagreement lives before it becomes a decision.
comments_createPosts a comment on a workspace entity — a new thread, or a reply when rootId is given. Use it to leave findings where the discussion already lives (an eval result on the flow being debated, a summary on a long thread). Mention people via mentionedUserIds (from workspace member id
comments_resolveSets a comment thread's resolved state (rootId = the thread's root comment id). Resolve ONLY when the human asked or the thread's question is demonstrably settled — and say what settled it in a reply first. Reopening is for new evidence.
search_workspaceFinds anything in the workspace in one call — uploaded files (searching the text inside them), folders, Workbench flows, shims, knowledge bases and tasks, Compass pages and changes, Caliper datasets, evals, rubrics, reviews, specs and sources, Ledger entries, Napkin sketches, dec
entity_tags_getReturns the tags on a batch of entities of one kind — the labels galleries organize by. Ids come from the kind's list/get tool or from search_workspace. Use it before entity_tags_set so you replace the full set knowingly, and to answer 'what is this filed under'. Entities the use
entity_tags_browseWithout a tag: every tag in use across the workspace with how many entities carry it, most-used first — the vocabulary the team already organizes by. With a tag: everything filed under it across every tool, each with its kind, id, title, and path. Use it to reuse existing labels
entity_tags_setReplaces the FULL tag set on one entity (an empty list clears it). Read the current tags with entity_tags_get first and pass the merged list — this is not additive. Tags are lowercase letters, numbers, spaces, and hyphens; prefer labels already in use (entity_tags_browse) so the
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 9 nov 2026
El registro no indica ningún repo de código fuente, así que no podemos relacionar a quien lo publicó (zerowidth.ai) con el código
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Respondió en 979 ms (HTTP 200)
No hace falta iniciar sesión
Leímos 40 descripciones de herramientas y no encontramos instrucciones ocultas para la IA
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 2 de 3 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
Debes completar: Authorization
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El repo de GitHub cambió por última vez –, y la última versión (1.0.0) llegó al registro hace 32 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. Se conecta por URL, así que también funcionan las apps que aceptan servidores MCP remotos, como ChatGPT en modo desarrollador.
En la misma categoría: Finance Toolkit, SolidInvoice, Korea Tax Calculator
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:↓ Descargas por semanai★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
500+ transparent financial methods calculated from raw statements, not third-party endpoints.
Create and send invoices and quotes, manage clients, and track payments in SolidInvoice.
Korean tax calculation and tax-audit judgment MCP: 96 tools with statutory citations.
No se encontró un README en el repo