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MCP Server

@bbookmind

代码仓库

基本信息

分类

金融与商务

许可证

MIT

作者

bbookmind

提交者

parrotSHRUchildish

关于 MCP Server

AI bookkeeping for QuickBooks Online — 14 tools for auto-categorize, reconcile, monthly close, anomaly detection

MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp": {
      "command": "npx",
      "args": [
        "@bbookmind/mcp"
      ]
    }
  }
}

MCP Server 工具

14

Auto-categorize Uncategorized QuickBooks transactions using learned rules (regex) + keyword dict + LLM (when connected). Returns confidence-scored suggestions. Use bookmind.approve_categorizations to apply. New categorization requests stage in 'pending' status and follow approval workflow.

Match bank feed transactions to invoices/bills by amount, date tolerance, and vendor similarity. Returns matched pairs and unmatched items. Score uses Levenshtein vendor similarity and weighted date/amount distance.

Statistical anomaly detection: duplicate payments (Map-based O(n)), vendor cost drift (>25%), IQR outliers, frequency spikes (>10/mo), round numbers (>=$100), large weekend transactions (>=$500). Returns flagged items with severity. Persists to SQLite for review.

Generate complete monthly close package: P&L, Balance Sheet snapshot, Cash Flow, top vendors, expense breakdown, overdue AR, anomaly summary, and action items. Returns formatted markdown report.

Search transactions by vendor, description, category, or amount. Supports lookback and limit.

Generate overdue invoice chase emails in friendly, firm, or escalation tone. Returns ready-to-send drafts.

Learn categorization rules from user corrections. Stores regex patterns. Rules apply to current company by default; set global=true to share across all companies under one account.

Approve pending categorization suggestions. Accepts transaction IDs or 'all' to approve everything pending. Approved transactions get status='categorized' and approved=1.

Reject pending categorization suggestions with feedback. Rejected transactions return to 'uncategorized'. Optional rule learning: set learn_rules=true and provide corrected_category, vendor_pattern, or description_pattern to auto-create a correction rule.

Undo categorization changes on transactions. Restore previous category from audit log. Accepts transaction IDs or 'all' to undo all categorizations from today's session.

Fetch transactions from QuickBooks Online for a date range. Returns normalized JSON array compatible with categorize, reconcile, anomalies, and monthly_close tools. Caches results in local SQLite.

Push approved categorizations from local SQLite back to QuickBooks Online. Creates journal entries for category reclassifications. Only syncs approved (approved=1) transactions.

Switch between connected QuickBooks companies. Sets the active company for all subsequent operations. Returns the current company info.

List all companies configured in BookMind, showing company ID, name, and association status. Allows OAuth connection for unconnected companies.

概览

What is Mcp?

AI bookkeeping for QuickBooks Online. Open-source MCP server with 14 tools

How to use Mcp?

The README includes setup instructions such as npx @bbookmind/mcp.

Key features of Mcp

  • Zero cloud dependency — your data stays in local SQLite
  • Learns from you — every correction becomes a persistent rule
  • Model-agnostic — works with 7+ LLM providers (or rules-only mode)
  • Agent-agnostic — works with Claude, Cursor, Cline, Continue, Windsurf, VS Code Copilot, Goose
  • npm: npx @bbookmind/mcp

Use cases of Mcp

  • Connect an MCP-compatible client to this repository's service.
  • Review the README-backed setup before enabling it in production.

常见问题

1

Where is the source code for Mcp?

The source code is linked from the repository URL on this page.

2

Does Mcp include a standard MCP config?

If the README contains a parseable MCP configuration block, it is shown in the Config tab.

评论

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