mcpSource-backedReview first Safety ✓ Privacy ✓
DeepLedger — AI Accountant for QuickBooks MCP Server
DeepLedger MCP server ai.deepledger/mcp for QuickBooks recording, reconciliation, and month-end close workflows over streamable HTTP.
HarnessClaude CodeCodexCursorClaude Desktop
Review first — review before installing
Open the source and read safety notes before installing.
Safety notes
- Accounting MCP tools can create or modify ledger records—use sandbox companies first.
- Month-end close and reconciliation tools affect financial reporting—require human sign-off.
- Treat OAuth tokens and session headers as secrets with least-privilege QuickBooks scopes.
Privacy notes
- QuickBooks transactions, vendor names, and account metadata enter MCP client context.
- DeepLedger hosted endpoints process financial data on vendor infrastructure—review DPA terms.
Prerequisites
- DeepLedger account and QuickBooks connection authorized in the vendor dashboard.
- Finance stakeholder approval before enabling write tools against production books.
- MCP client with streamable HTTP transport support.
Schema details
- Install type
- cli
- Troubleshooting
- No
Collection metadata
- Estimated setup
- 20 minutes
- Difficulty
- intermediate
Tool listing metadata
- Website
- https://deepledger.ai
Full copyable content
{
"mcpServers": {
"deepledger": {
"url": "https://mcp.deepledger.ai/mcp",
"type": "http"
}
}
}About this resource
Overview
DeepLedger — AI Accountant for QuickBooks is registered as ai.deepledger/mcp. Public
site copy describes AI-assisted recording, reconciliation, and month-end close for QuickBooks,
with a streamable HTTP MCP endpoint at https://mcp.deepledger.ai/mcp.
Installation
claude mcp add --transport http deepledger https://mcp.deepledger.ai/mcp
Complete vendor onboarding and QuickBooks authorization before enabling write tools.
Source Verification Notes
Verified on 2026-06-17:
- deepledger.ai product pages describe QuickBooks accounting automation scope.
- MCP Registry lists
ai.deepledger/mcpwith remote https://mcp.deepledger.ai/mcp. - Registry description cites recording, reconcile, and month-end close capabilities.
Duplicate Check
No existing content/mcp/ entry covers DeepLedger QuickBooks accounting MCP tools.
Editorial Disclosure
Community listing by kiannidev from public DeepLedger site and MCP Registry metadata.
Source citations
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[](https://heyclau.de/entry/mcp/deepledger-ai-accountant-for-quickbooks-mcp-server)How it compares
DeepLedger — AI Accountant for QuickBooks MCP Server side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.
| Field | DeepLedger — AI Accountant for QuickBooks MCP Server DeepLedger MCP server ai.deepledger/mcp for QuickBooks recording, reconciliation, and month-end close workflows over streamable HTTP. Open dossier | Alpaca MCP Server Official Alpaca MCP server for Trading API workflows, including account and portfolio data, orders, positions, watchlists, assets, stocks, crypto, options, news, corporate actions, and market data. Open dossier | Daloopa MCP Server for Claude Access high-quality fundamental financial data from SEC filings and investor presentations Open dossier | Financial Datasets MCP Server Python MCP server that lets Claude query Financial Datasets for stock statements, prices, company news, crypto prices, and SEC filings. Open dossier |
|---|---|---|---|---|
| Trust | ||||
| Install risk | Review first | Review first | Low risk | Review first |
| Notes | Safety ✓ Privacy ✓ | Safety ✓ Privacy ✓ | Safety ✓ Privacy ✓ | Safety ✓ Privacy ✓ |
| Category | mcp | mcp | mcp | mcp |
| Source | source-backed | source-backed | first-party | source-backed |
| Author | DeepLedger | Alpaca | Daloopa | Financial Datasets |
| Added | 2026-06-17 | 2026-06-06 | 2025-09-18 | 2026-06-05 |
| Platforms | Claude CodeCodexCursorClaude Desktop | Claude CodeClaude Desktop | Claude CodeClaude Desktop | Claude CodeClaude Desktop |
| Source repo | — | — | — | — |
| Safety notes | ✓Accounting MCP tools can create or modify ledger records—use sandbox companies first. Month-end close and reconciliation tools affect financial reporting—require human sign-off. Treat OAuth tokens and session headers as secrets with least-privilege QuickBooks scopes. | ✓Alpaca MCP Server can expose account balances, buying power, positions, orders, activities, watchlists, assets, market data, news, corporate actions, stocks, crypto, options data, and trading tools to the MCP client. Trading tools can place stock, ETF, crypto, and option orders, cancel orders, close positions, liquidate portfolios, replace orders, and exercise or mark do-not-exercise option contracts. Paper trading is the default documented mode; setting `ALPACA_PAPER_TRADE=false` points trading calls at live Alpaca accounts and can result in real financial losses. Require explicit human approval before any order placement, cancellation, liquidation, option exercise, live-account change, or strategy involving leverage, margin, extended hours, crypto, or options. Use `ALPACA_TOOLSETS` to restrict the server to read-only or data-only toolsets when trading tools are not needed. The upstream order override code warns that read timeouts may happen after an order was sent; users should check open orders before retrying to avoid duplicate trades. | ✓Treat financial data as informational research and verify figures before using them for investment, accounting, or reporting decisions. | ✓This server retrieves financial market data; do not treat tool output or model summaries as investment, trading, tax, or legal advice. Current prices, crypto prices, filings, and news can be delayed, incomplete, rate limited, or unavailable depending on API plan and market conditions. Review generated analysis before using it in portfolio decisions, trading workflows, client reports, or compliance-sensitive research. The server sends ticker symbols, date ranges, filing filters, and research queries to the Financial Datasets API. |
| Privacy notes | ✓QuickBooks transactions, vendor names, and account metadata enter MCP client context. DeepLedger hosted endpoints process financial data on vendor infrastructure—review DPA terms. | ✓Alpaca API keys, secret keys, account IDs, balances, buying power, portfolio history, activities, positions, orders, watchlists, option contracts, crypto holdings, and trade history can be exposed to the MCP client. Prompts and responses may include private trading strategy, portfolio allocation, order intent, symbols, quantities, prices, client order IDs, and market data queries. MCP clients, model providers, terminal history, logs, and chat transcripts may retain financial data and trading instructions. Upstream documentation states the server sends an Alpaca MCP user agent string for API calls; review Alpaca privacy and disclosure materials for account data handling. | ✓Company queries, filing references, financial models, and research topics may be sent through the MCP client and model. | ✓API keys must be stored in environment variables or local secret managers and never committed to configuration files. Queried tickers, crypto symbols, time ranges, filings, and news requests can reveal research interests, watchlists, client assignments, or trading hypotheses. Tool outputs may include financial statements, prices, filings, and news that become part of the model context and logs. Avoid sending private portfolio holdings, customer identifiers, or material non-public information through prompts or tool arguments. |
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