Finance Toolkit
500+ transparent financial methods calculated from raw statements, not third-party endpoints.
作者提供的说明(英文原文)
Double-entry bookkeeping MCP server — import bank CSVs, categorize, reconcile, tax reports.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
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。
选择你使用的 AI 应用,然后复制设置。
BOOKIE_DB_URL, BOOKIE_DB_DIRECT_URL, BOOKIE_API_KEY标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"bookie": {
"command": "npx",
"args": [
"-y",
"bookie-mcp"
],
"env": {
"BOOKIE_DB_URL": "your-value",
"BOOKIE_DB_DIRECT_URL": "your-value",
"BOOKIE_API_KEY": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add bookie --env BOOKIE_DB_URL=your-value --env BOOKIE_DB_DIRECT_URL=your-value --env BOOKIE_API_KEY=your-value -- npx -y bookie-mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"bookie": {
"command": "npx",
"args": [
"-y",
"bookie-mcp"
],
"env": {
"BOOKIE_DB_URL": "your-value",
"BOOKIE_DB_DIRECT_URL": "your-value",
"BOOKIE_API_KEY": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"bookie": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"bookie-mcp"
],
"env": {
"BOOKIE_DB_URL": "your-value",
"BOOKIE_DB_DIRECT_URL": "your-value",
"BOOKIE_API_KEY": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
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。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
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8日
注册名称已通过 GitHub 账户 yuens1002 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
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。
它在 1 项适用的基础检查中通过了 1 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。
你需要填写:BOOKIE_DB_URL, BOOKIE_DB_DIRECT_URL, BOOKIE_API_KEY
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.8.5)于4个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Finance Toolkit, SolidInvoice, Korea Tax Calculator
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
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.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
An MCP server that keeps books for freelancers and landlords — driven from Claude or GPT instead of QuickBooks.
Ask your LLM to import a bank statement, categorize spending, reconcile a month, or generate a Schedule C. Bookie provides the correct double-entry ledger underneath — so the model reasons over real numbers, not a spreadsheet it's improvising on the fly.
This is for you if: you're a solopreneur, freelancer, or rental property owner already living in Claude or GPT, you're comfortable with a 5-minute setup, and you want books that are actually correct.
Not for you if: you want a dashboard UI, you need multi-user access, or you're satisfied with QuickBooks / a spreadsheet.
npm install -g neonctl (free Neon account; needed for the DB)Recommended — from source, fully automated:
git clone https://github.com/yuens1002/bookie
cd bookie npm install npm run setup # creates Neon DB, generates secrets, writes .env, runs db:push npm run build
npm run setup opens a browser to log into Neon; new to Neon? Use the "Sign up for an account" link and pick GitHub/Google/Microsoft rather than email+password — it completes in the same browser round-trip, no email-verification detour that could interrupt the CLI mid-wait.
npm run setup prints a ready-to-paste Claude Desktop config block at the end:
{
"mcpServers": { "bookie": { "command": "node", "args": ["/absolute/path/to/bookie/dist/index.js"], "env": { "BOOKIE_DB_URL": " ", "BOOKIE_DB_DIRECT_URL": " ", "BOOKIE_API_KEY": " " } } } }
Adding another machine to the same ledger — no clone needed: stdio is a *local* process — every machine running a stdio MCP client spawns its own copy of the server, so each one otherwise needs its own checkout. Once the Neon DB is provisioned (via npm run setup above, on any one machine), every *other* machine just needs the same connection strings — no git clone, no npm install, no npm run build to keep in sync. Point that machine's MCP host at the published package instead:
{
"mcpServers": { "bookie": { "command": "npx", "args": ["-y", "bookie-mcp"], "env": { "BOOKIE_DB_URL": " ", "BOOKIE_DB_DIRECT_URL": " ", "BOOKIE_API_KEY": " " } } } }
npx fetches and runs the published version on demand — every machine pointed at the same BOOKIE_DB_URL shares one ledger, without any of them (besides the original) needing a checkout.
Bootstrapping a DB without cloning at all: if you don't have connection strings yet from any machine (e.g. you created the Neon project manually instead of via npm run setup), push bookie's bundled schema directly:
mkdir bookie-mcp && cd bookie-mcp
npm install bookie-mcp BOOKIE_DB_URL= BOOKIE_DB_DIRECT_URL= npx prisma db push --schema=node_modules/bookie-mcp/prisma/schema.prisma
Then use the same npx -y bookie-mcp config above.
Deploy to Railway with one click:
Railway pulls the pre-built image from GHCR — no source build needed. Set the required env vars when prompted. See docs/DEPLOYING.md for the full walkthrough (env var reference, Neon + Resend setup, Claude.ai OAuth connector).
The host LLM already reads CSVs, sees receipt images, and writes prose. Bookie owns the things an LLM *shouldn't* improvise: a correct double-entry ledger, integer-cent money math, deterministic categorization rules, and reproducible reports. The model handles language and vision; the server handles the books.
The full, always-current tool reference lives in docs/TOOLS.md (regenerate with npm run docs:tools). Today:
| Tool | What it does |
|---|---|
manage_accounts | Create/list/archive accounts (segment-scoped categories carry a tax line) |
add_transaction | Record one balanced double-entry (money flows from → to) |
split_transaction | One payment leg + N category legs (a receipt split across categories) |
import_transactions | Import a bank/card CSV as balanced entries — preview → confirm, with dedup |
manage_rules | Create/list/delete/test/suggest auto-categorization rules (categorize → account/property, or exclude) that power import-preview suggestions; action=suggest scans past categorizations and returns candidate rules for descriptions with 2+ occurrences |
categorize_transaction | Re-categorize the income/expense leg of an existing entry — explicit account or apply a stored rule |
reconcile | Match a bank/card statement CSV against the ledger and mark postings cleared — preview then commit |
manage_receipts | Attach, list, delete, or get a signed download URL for receipt data; optionally upload the original file (JPEG, PNG, WEBP, HEIC, or PDF) to Railway Bucket storage |
generate_report | Monthly reconciliation summary, or fiscal-year Schedule C / Schedule E tax P&L |
export_report | Render any report as markdown or CSV |
send_report | Run a report and email it via Resend |
query_transactions | List entries + postings by date range / account |
account_balances | Current balance per account |
Bookie exposes two MCP resources that an LLM can read without calling a tool:
| Resource URI | MIME type | What it contains |
|---|---|---|
bookie://accounts | application/json | All active accounts with their current balances |
bookie://reports/{year} | text/markdown | Annual fiscal snapshot: Schedule C, Schedule E, and a one-row-per-month summary (opening balance, net income, cleared postings count) |
Three canned workflow prompts guide the LLM through common bookkeeping tasks:
| Prompt | Parameters | Purpose |
|---|---|---|
monthly-close | year, month | Step-by-step month-end close: import CSV → categorize → reconcile → report → (optional) email |
categorize-uncategorized | _(none)_ | Find journal entries with no income/expense leg and walk through categorizing each |
prepare-tax-summary | year | Generate Schedule C + E, export as markdown and CSV, optionally email |
See .env.example for the full reference. Key variables:
| Variable | Purpose |
|---|---|
BOOKIE_TRANSPORT | stdio (default) or http |
BOOKIE_DB_URL | Neon pooled connection string |
BOOKIE_DB_DIRECT_URL | Neon direct connection string (for db push) |
BOOKIE_API_KEY | Static Bearer token (Claude Desktop / direct API) |
PUBLIC_URL | Public HTTPS base URL of the deployed server (Claude.ai connector) |
JWT_SECRET | HS256 signing secret for OAuth JWT access tokens |
OAUTH_CLIENT_ID | OAuth client ID (default: claude-ai-connector) |
OAUTH_CLIENT_SECRET | Required when using OAuth: /authorize refuses all requests when unset (prevents any visitor from authorizing); /token also validates it. Enter this value in the Claude.ai connector settings. |
RESEND_API_KEY | Resend API key for send_report |
RESEND_FROM | Verified sender address for send_report (e.g. Bookie ) |
AWS_ENDPOINT_URL / AWS_S3_BUCKET_NAME / AWS_ACCESS_KEY_ID / AWS_SECRET_ACCESS_KEY / AWS_DEFAULT_REGION | Railway Bucket credentials — auto-injected when you connect a bucket to the service (use AWS SDK Generic style); enables receipt file upload in manage_receipts |
Bookie stores financial data in your Neon Postgres database; connection strings live in .env (gitignored) and Railway env vars — never commit them. The HTTP transport requires auth on every /mcp request: either a static Bearer token (BOOKIE_API_KEY) or an OAuth JWT issued by the /token endpoint. Always set at least one before exposing the server beyond localhost. See docs/DEPLOYING.md for the full Claude.ai connector OAuth setup.
MIT