Borrowing it
Nothing to install: this file belongs to ninetails-io/gnucash-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ninetails-io/gnucash-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/ninetails-io/gnucash-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/ninetails-io/gnucash-mcp/claude-md)<a href="https://agentmods.dev/instructions/ninetails-io/gnucash-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/ninetails-io/gnucash-mcp/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/ninetails-io/gnucash-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/ninetails-io/gnucash-mcp/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.08005 | $0.08005 |
| Opus 5 | $0.04002 | $0.04002 |
| Sonnet 5 | $0.01601 | $0.01601 |
| Haiku 4.5 | $0.00800 | $0.00800 |
Grade A, and why
gnucash-mcp CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 656 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GnuCash MCP Server — Contributor Guide
AI-facing orientation for contributors (human or AI) working on this
codebase. See README.md for end-user usage and CHANGELOG.md for
the per-release history.
Local working notes specific to the maintainer live in CLAUDE.local.md
(not in version control).
Project at a glance
An MCP server that exposes a GnuCash SQLite book to AI assistants as a set of typed tools. Read and write transactions, run reports, manage scheduled transactions, budgets, investment lots, and a full business module (customers, vendors, employees, invoices, bills).
Tech stack:
- Python 3.10+
- piecash — GnuCash SQLite ORM
- MCP Python SDK (
mcp[cli]) - SQLAlchemy under piecash; direct Core access where the ORM blocks us
- pytest for unit + integration coverage
How the codebase reached its current shape
A few architectural moves shaped the present structure. The full
release-by-release history is in CHANGELOG.md; what follows is the
arc, not the chronicle.
- Single-file → modular mixins. Early versions kept everything in
one
book.py. As the surface grew (reconciliation, reporting, budgets, scheduling, investments, business), the monolith was split into per-area mixins composed viabuild_book_class. Tools moved alongside undertools/<area>.py. Disabling a module via--modulesskips both the mixin and the tool registration cleanly. - Lazy load with a registry.
TOOL_MODULESinserver.pyis the single source of truth for which tools belong to which module._lazy_load_tool_module(name)importstools/<name>.pyonly when the module is enabled, then_apply_module_filterremoves anything registered that isn't inTOOL_MODULES[<name>]. A test intests/test_modules.py::TestToolFileVsModulesMappinglocks the contract — it catches the bug class where a new tool gets the@mcp.tool()decoration but is forgotten inTOOL_MODULES. - Multi-currency rebuild. Originally USD-was-everywhere assumed.
When the first non-USD-default book showed up, a class of bugs
surfaced where reports summed raw
split.quantityacross commodities, prices defaulted to USD even for currency arguments, and FX gain/loss from rate drift wasn't recognized. The fix threaded_split_in_default_currency(or equivalent factor map) through every aggregation path, madecreate_pricedefault to the book's default currency, and added realized FX recognition on cross-currency invoice payment. - Dashboard as a work queue.
get_book_summarystarted as a status snapshot and evolved into the LLM's first-call orientation surface. It now surfaces net-worth trajectory, runway, monthly net income, budget pacing, reconciliation backlog with split counts, warnings, and upcoming scheduled transactions — answering "what do I need to do next" in one call. - Audit log dispatcher. Originally a 380-line if/elif chain;
flattened into a
(entity_type, operation) → formatterdispatch table. Adding a new entity-operation pair is one row in the table plus a small formatter function.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago Changed · +79 lines · +1,117 tokens per session a5776b3292c7
- 9d ago First seen · 577 lines · 6,888 tokens per session scan A a0c8fc22abe4
gnucash-mcp CLAUDE.md is an instructions file published in the GitHub repository ninetails-io/gnucash-mcp (66 stars, last pushed yesterday), licensed MIT. It adds 8,005 tokens to every session, about $0.0400 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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