GridTRX
by @737999
Double-entry, full-cycle accounting suite built for AI agents. Converts bank CSVs, OFX, and QBO files into balanced, auditable books — balance sheet, income...
clawhub install gridtrx📖 About This Skill
name: gridtrx description: Double-entry, full-cycle accounting suite built for AI agents. Converts bank CSVs, OFX, and QBO files into balanced, auditable books — balance sheet, income statement, general ledger, trial balance. All data stays in a single local SQLite file. homepage: https://github.com/gridtrx/gridtrx requires_tools: - exec - read - write metadata: clawdbot: requires: env: - GRIDTRX_WORKSPACE bins: - python3 primaryEnv: GRIDTRX_WORKSPACE files: - "*.py"
Skill: GridTRX Accounting
Demo
Watch the demo: Full accounting cycle in 15 minutes
What it does
Use this skill when the user asks you to "do the books," "categorize expenses," "import bank transactions," "run a balance sheet," or any bookkeeping task. GridTRX is a full-cycle double-entry accounting engine. You prompt in plain English, and the agent completes the books correctly. Every transaction balances. Every amount is deterministic. All data is local — no cloud services, no external APIs.
GridTRX produces a full set of auditable books: balance sheet, income statement, general ledger, trial balance, adjusting journal entries, retained earnings rollforward. Reports are exportable to CSV and PDF for any time period.
Architecture
GridTRX has three interfaces to the same engine (models.py → books.db):
1. MCP Server (preferred for agents) — Structured JSON tools. 20 tools (12 read, 8 write) wrapping models.py directly. No text parsing, typed parameters, deterministic output.
2. CLI (fallback for agents, power users) — One-shot shell commands via python cli.py. Zero dependencies beyond Python 3.7+ standard library. Any terminal-based agent can drive it via subprocess.
3. Browser UI (for humans) — Flask web interface at localhost:5000 via python run.py. Ledger browsing, report viewer with drill-down, comparative reports up to 13 columns, bank import with rule preview, reconciliation marking, dark mode.
All three hit the same models.py data layer. Nothing is out of sync. Use MCP when available. Fall back to CLI otherwise. The browser UI is for human review.
Prerequisites
Install dependencies before first use (one-time setup):
pip install -r requirements.txt
Or install individually: pip install mcp (MCP server), pip install flask (browser UI). The CLI has no dependencies beyond the Python 3.7+ standard library.
No packages are installed at runtime. All dependencies must be pre-installed.
MCP Setup
Add to the agent's MCP config with GRIDTRX_WORKSPACE set to the user's client folder:
{
"command": "python",
"args": ["/path/to/mcp_server.py"],
"env": {"GRIDTRX_WORKSPACE": "/path/to/clients"}
}
GRIDTRX_WORKSPACE is mandatory — the MCP server will refuse to start without it. Any db_path outside the workspace is rejected at runtime. Every MCP tool takes db_path as its first parameter, which must resolve to a books.db file inside the workspace.
CLI Usage
GRIDTRX_WORKSPACE=/path/to/clients python cli.py /path/to/clients/acme/books.db
Runs one command, prints plain text to stdout, exits. When GRIDTRX_WORKSPACE is set, the CLI enforces the same workspace boundary as the MCP server — paths outside the workspace are rejected.
Inputs needed
books.db file or its parent folder)..csv, .ofx, or .qbo).BANK.CHQ for chequing).Core concepts
(1,500.00) = Credit. — = Zero.BANK. EX. REV. AR. AP. GST. RE. SHL. — When importing a trial balance or creating accounts, ALWAYS use GridTRX naming. Never use numeric account codes. If the source data has numeric codes (1010, 5800, etc.), ignore the codes and map by description to the nearest GridTRX account name. If no match exists, create the account using the EX. or REV. prefix convention. Always call list_accounts first before creating anything.models.py) — CLI, MCP server, and browser UI all call the same functions.Workflow
Step 1: Initialize (if no books exist)
MCP: No direct tool — use exec to run CLI.
CLI: python cli.py then new /path/to/folder "Company Name"
This creates books.db with a full chart of accounts (~60 posting accounts), five reports (BS, IS, AJE, TRX, RE.OFS), 60+ import rules, and four tax codes. Always use starter books as the base — they include the critical perpetual retained earnings chain (IS → NI → RE.CLOSE → RE on BS, plus RE.OFS/RE.OPEN for year-end). Never build reports from scratch without this chain. The fiscal year ceiling (fy_end_date) is automatically set to the current fiscal year end.
After setup, run validate to confirm the report chain is intact:
CLI: python cli.py /path/to/books.db validate
Step 2: Import bank data
MCP (preferred):
import_csv(db_path, csv_path, "BANK.CHQ")import_ofx(db_path, ofx_path, "BANK.CHQ")CLI fallback:
python cli.py /path/to/books.db importcsv /path/to/file.csv BANK.CHQpython cli.py /path/to/books.db importofx /path/to/file.qbo BANK.CHQThe import applies all rules automatically. Check the result summary: posted, skipped, to_suspense.
CaseWare AJE import:
import_aje(db_path, file_path, "25AJE")python cli.py /path/to/books.db importaje /path/to/aje_export.iif 25AJEStep 3: Audit suspense
MCP: get_ledger(db_path, "EX.SUSP")
CLI: python cli.py /path/to/books.db ledger EX.SUSP
Every entry here is an unrecognized transaction. Note the description and transaction ID for each.
Step 4: Resolve suspense with the user
Present each suspense item to the user. Ask: *"What category is this?"*
Do NOT guess. If the description is ambiguous (e.g., "AMAZON", "BEST BUY", "TRANSFER"), ask the user for business context before categorizing.
Once the user answers, add a rule so future imports are automatic:
MCP: add_rule(db_path, "AMAZON", "EX.OFFICE", "G5", 0)
CLI: python cli.py /path/to/books.db addrule AMAZON EX.OFFICE G5 0
Tax code is optional. Common codes: G5 (GST 5%), H13 (HST 13%), H15 (HST 15%), E (exempt).
Step 5: Clear the bad suspense entries and re-import
Delete each suspense transaction, then re-import so the new rules apply:
MCP: delete_transaction(db_path, txn_id) for each, then import_csv(...) or import_ofx(...) again.
CLI: python cli.py /path/to/books.db delete for each, then re-run the import command.
Repeat Steps 3-5 until suspense is empty.
Step 6: Verify and report
MCP:
trial_balance(db_path) — debits must equal creditsgenerate_report(db_path, "BS") — Balance Sheetgenerate_report(db_path, "IS") — Income StatementCLI:
python cli.py /path/to/books.db tbpython cli.py /path/to/books.db report BSpython cli.py /path/to/books.db report ISStep 7: Year-end rollforward
When the fiscal year is complete:
MCP: rollforward(db_path, "2025-12-31")
CLI: python cli.py /path/to/books.db rollforward 2025-12-31
This reads RE.CLOSE from the IS, posts Dr RE.OFS / Cr RE.OPEN, sets the lock date, and advances the FY ceiling to the next year. Then repeat from Step 2 for the next fiscal year. Rows beyond the ceiling are automatically skipped during import.
Recovery: Undoing a bad import
If the user uploaded the wrong file or you imported against the wrong account:
1. Find the bad transactions: search_transactions(db_path, "some description") or via CLI search .
2. Delete them one by one: delete_transaction(db_path, txn_id) or CLI delete .
3. Verify the trial balance still balances after cleanup.
4. Re-import the correct file.
There is no bulk undo. Deletions are individual and respect the lock date — you cannot delete transactions in a locked period.
MCP tools reference (20 tools)
Read tools
| Tool | Purpose | |------|---------| |list_accounts(db_path, query?) | List/search chart of accounts |
| get_balance(db_path, account_name, date_from?, date_to?) | Single account balance |
| get_ledger(db_path, account_name, date_from?, date_to?) | Account ledger with running balance |
| trial_balance(db_path, as_of_date?) | Trial balance — all accounts, Dr/Cr columns |
| generate_report(db_path, report_name, date_from?, date_to?) | Run a report (BS, IS, AJE, etc.) |
| get_transaction(db_path, txn_id) | Single transaction with all journal lines |
| search_transactions(db_path, query, limit?) | Search by description/reference |
| list_reports(db_path) | List available reports |
| list_rules(db_path) | List import rules |
| get_info(db_path) | Company name, fiscal year, lock date |Write tools
| Tool | Purpose | |------|---------| |post_transaction(db_path, date, description, amount, debit_account, credit_account) | Post a simple 2-line entry |
| delete_transaction(db_path, txn_id) | Delete a transaction (respects lock date) |
| add_account(db_path, name, normal_balance, description?) | Add a posting account |
| add_rule(db_path, keyword, account_name, tax_code?, priority?) | Add an import rule |
| delete_rule(db_path, rule_id) | Delete an import rule |
| import_csv(db_path, csv_path, bank_account) | Import bank CSV |
| import_ofx(db_path, ofx_path, bank_account) | Import bank OFX/QBO |
| import_aje(db_path, file_path, ref_prefix) | Import CaseWare AJE export (IIF or Venice) |
| rollforward(db_path, ye_date) | Year-end rollforward (posts RE closing, sets lock, advances ceiling) |
| year_end(db_path, ye_date) | Alias for rollforward |
| set_lock_date(db_path, lock_date?) | Show or set the lock date |
| set_ceiling(db_path, date?) | Show or set the fiscal year ceiling |
| bulk_report_layout(db_path, report_name, items, after_account?, mode?) | Batch-place items on a report (accounts, totals, labels, separators) |Guardrails
EX.SUSP and ask the user. Do not assume "AMAZON" is office supplies — it could be inventory, personal, or cost of sales.cli.py commands or MCP tools. Never use file tools to read or write the SQLite database.books.db files within the user's GridTRX workspace. Both the MCP server and CLI enforce this when GRIDTRX_WORKSPACE is set — the MCP server will not start without it, and both interfaces reject any path outside the workspace.get_info(). You cannot post on or before the lock date, or after the FY ceiling. Run rollforward to advance to the next fiscal year.python cli.py commands against books within the workspace. Do not run arbitrary shell commands, install packages, start background processes, or execute scripts other than cli.py. The MCP server is the preferred interface — use CLI only when MCP is unavailable.⚙️ Configuration
Install dependencies before first use (one-time setup):
pip install -r requirements.txt
Or install individually: pip install mcp (MCP server), pip install flask (browser UI). The CLI has no dependencies beyond the Python 3.7+ standard library.
No packages are installed at runtime. All dependencies must be pre-installed.
MCP Setup
Add to the agent's MCP config with GRIDTRX_WORKSPACE set to the user's client folder:
{
"command": "python",
"args": ["/path/to/mcp_server.py"],
"env": {"GRIDTRX_WORKSPACE": "/path/to/clients"}
}
GRIDTRX_WORKSPACE is mandatory — the MCP server will refuse to start without it. Any db_path outside the workspace is rejected at runtime. Every MCP tool takes db_path as its first parameter, which must resolve to a books.db file inside the workspace.
CLI Usage
GRIDTRX_WORKSPACE=/path/to/clients python cli.py /path/to/clients/acme/books.db
Runs one command, prints plain text to stdout, exits. When GRIDTRX_WORKSPACE is set, the CLI enforces the same workspace boundary as the MCP server — paths outside the workspace are rejected.