原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。使用 Google 登录即可撰写评价。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

ZeroWidth Ledger

作者:zerowidth.ai版本 1.0.0i★ –i在云端运行
注册名称ai.zerowidth/ledger

安装方法

概览

作者提供的说明(英文原文)

Log decisions with expectations, add evidence, and track metrics in Ledger.

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 会计、财务与税务
  • 你需要填写:Authorization

安装

选择你使用的 AI 应用,然后复制设置。

通过 2/3 项检查 · 你的提问会经过开发者的服务器(api.zerowidth.ai)

第一步:你用哪个 AI?

选择你用的应用,步骤会显示在下方。

可连接 Claude · 约 5 分钟

需要 ZeroWidth Ledger 的密钥(在开发者网站注册,可能收费) · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个

  1. 注册并创建 ZeroWidth Ledger 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。可能收费。

    打开 ZeroWidth Ledger 网站 ↗

  2. 打开 Claude 的 Connectors 页面

    CustomizeConnectors

    CustomizeConnectors1+ Add2https://…3Add4
  3. 点击“+ Add” → “Add custom connector”,填写这 2 项

    把这里的内容复制到 Claude 中同名的输入框,然后点击 Continue

    Name · 名称ZeroWidth Ledger
    Remote MCP server URL · 地址https://api.zerowidth.ai/mcp/x/ledger

    在 Request headers 下添加这个名称和值

    Header 名称Authorization
    值Bearer <在这里粘贴你的密钥>

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

    Authentication 保持 Claude 检测到的设置,然后点击 Add

  4. 在聊天中开启

    +ConnectorsZeroWidth Ledger

  5. 试一试

    用 ZeroWidth Ledger 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude 说正在使用 ZeroWidth Ledger,或回答中出现 ZeroWidth Ledger 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

ChatGPT 暂时无法连接 ZeroWidth Ledger

ZeroWidth Ledger 连接时需要你自己的密钥,但 OpenAI 帮助页面只说明了 OAuth 登录,没有我们能核实的填密钥方式

你可以改用这些方式

A · 使用能连接 ZeroWidth Ledger 的应用

  • 需要 ZeroWidth Ledger 的密钥(在开发者网站注册,可能收费) · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个
  • 需要 ZeroWidth Ledger 的密钥(在开发者网站注册,可能收费)
  • 需要 ZeroWidth Ledger 的密钥(在开发者网站注册,可能收费)
  • 需要 ZeroWidth Ledger 的密钥(在开发者网站注册,可能收费)

B · 会计、财务与税务 类中能连接 ChatGPT 的其他服务器

从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的

可连接 Claude Code · 约 5 分钟

需要 ZeroWidth Ledger 的密钥(在开发者网站注册,可能收费)

  1. 注册并创建 ZeroWidth Ledger 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。可能收费。

    打开 ZeroWidth Ledger 网站 ↗

  2. 打开终端

    Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell

  3. 粘贴这条命令并按 Enter

    claude mcp add --transport http ledger https://api.zerowidth.ai/mcp/x/ledger --header 'Authorization: your-value'

    按 Enter 前,把“your-value”改成你的密钥

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  4. 在 Claude Code 中输入 /mcp

    应能看到 ZeroWidth Ledger 在列表中并显示已连接

  5. 试一试

    用 ZeroWidth Ledger 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude Code 说正在使用 ZeroWidth Ledger,或回答中出现 ZeroWidth Ledger 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Cursor · 约 5 分钟

需要 ZeroWidth Ledger 的密钥(在开发者网站注册,可能收费)

  1. 注册并创建 ZeroWidth Ledger 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。可能收费。

    打开 ZeroWidth Ledger 网站 ↗

  2. 点击这个按钮打开 Cursor

    在 Cursor 中打开

    Cursor 会请你确认安装,点击 Install

  3. 填写你的密钥

    在 ZeroWidth Ledger 的设置中,Authorization 还是空的,填入你的密钥并保存

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  4. 在 Cursor 中以 Agent 模式打开 AI 聊天

  5. 试一试

    用 ZeroWidth Ledger 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Cursor 说正在使用 ZeroWidth Ledger,或回答中出现 ZeroWidth Ledger 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同

可连接 VS Code · 约 5 分钟

需要 ZeroWidth Ledger 的密钥(在开发者网站注册,可能收费)

  1. 注册并创建 ZeroWidth Ledger 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。可能收费。

    打开 ZeroWidth Ledger 网站 ↗

  2. 点击这个按钮打开 VS Code

    在 VS Code 中打开

    VS Code 会请你确认安装,点击 Install

  3. 填写你的密钥

    在 ZeroWidth Ledger 的设置中,Authorization 还是空的,填入你的密钥并保存

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  4. 在 VS Code 中以 Agent 模式打开 AI 聊天

  5. 试一试

    用 ZeroWidth Ledger 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 VS Code 说正在使用 ZeroWidth Ledger,或回答中出现 ZeroWidth Ledger 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同

其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看

查看所有支持 MCP 的应用 →

通过网页连接的应用使用的地址

地址https://api.zerowidth.ai/mcp/x/ledger

JSON 设置在下方“开发者专用”中

卡住了?问问正在用 ZeroWidth Ledger 的人💬 讨论 →
开发者专用:终端命令和 JSON 设置

通过网页连接

Claude Code

claude mcp add --transport http ledger https://api.zerowidth.ai/mcp/x/ledger --header 'Authorization: your-value'

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "ledger": {
      "url": "https://api.zerowidth.ai/mcp/x/ledger",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "ledger": {
      "type": "http",
      "url": "https://api.zerowidth.ai/mcp/x/ledger",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

需要你填写的值

  • Authorization 机密 HTTP header
    Bearer token: a workspace API key or personal access token from accounts.zerowidth.ai

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

一览

每周下载量i
不在 npm/PyPI 上
已验证域名
✓ zerowidth.ai
许可证i
未注明许可证
连接方式
在云端运行
传输方式
streamable-http
最新版本i
1.0.0
发布到注册中心i
2026年10月7日
代码最后更新i
–
作者
zerowidth.ai
注册状态
活跃

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。

通过互联网连接,适用于

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

全部应用及其优缺点 →

它能做什么

工具名称和描述与服务器在 2026年11月8日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。

  • search_docs

    Search 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_doc

    Fetch 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_docs

    Enumerate 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_list

    The 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_get

    One 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_create

    Records 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_settle

    The 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_list

    The 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_create

    Create 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_reading

    Record 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_get

    One 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_update

    Corrects 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_retract

    Takes 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_evidence

    Records 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_update

    Corrects 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_archive

    Takes 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_list

    Pass `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_add

    Adds 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_update

    Edits 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_delete

    Removes 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_list

    Ready-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_adopt

    Creates 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_list

    Starter 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_adopt

    Creates 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_draft

    Writes 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_list

    The 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_list

    The 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_preview

    Call 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_create

    Freeze 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_update

    Change 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_run

    Run 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_backfill

    Run 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_delete

    Remove 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_list

    Lists 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_create

    Posts 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_resolve

    Sets 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_workspace

    Finds 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_get

    Returns 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_browse

    Without 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_set

    Replaces 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

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月11日

  • ! 注意

    作者与仓库一致

    注册中心没有列出源代码仓库,因此无法将发布者(zerowidth.ai)与代码对应起来

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • ✓ 通过

    端点有响应

    在 979 毫秒内响应(HTTP 200)

  • – 不适用

    使用 OAuth 登录

    无需登录

  • ✓ 通过

    工具描述中没有隐藏指令

    已读取 40 个工具描述,未发现针对 AI 的隐藏指令

讨论

提问、分享技巧或报告无法使用。按“有帮助”数量排序。

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与“会计、财务与税务”中的其他服务器比较i

  • 星标数多于此分类中其他 3114 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 3114 个服务器的 47% 更新
  • 基础检查结果等于或优于此分类中其他 3114 个服务器的 50%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

ZeroWidth Ledger 安全吗?

它在 3 项适用的基础检查中通过了 2 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:Authorization

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.0.0)于34天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,因此也能用于支持远程 MCP 的应用,例如 ChatGPT Business 及以上方案。

有什么可以替代它?

同一分类中有:CCXT, Finance Toolkit, AKQuant

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

CCXT

Official CCXT MCP server - Market data and trading across 100+ exchanges and prediction markets

作者:ccxt广泛使用↓ 667/周★ 4.5万2个月前更新

在你的电脑上运行

Finance Toolkit

500+ transparent financial methods calculated from raw statements, not third-party endpoints.

作者:JerBouma广泛使用↓ 1.6万/周★ 5514昨天更新

电脑或云端

AKQuant

Write and backtest trading strategies with AKQuant: API lookup, strategy checks, backtest runs

作者:akfamily广泛使用↓ 3280/周★ 2582前天更新

在你的电脑上运行

作者的 README

仓库中没有找到 README