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MCP server for Canadian adjusted cost base (ACB) and capital gains: average-cost tracking, per-disposition gains, and superficial-loss detection for LLM agents.

Project description

acb-tax-mcp

CI PyPI PyPI Downloads Python Glama License: MIT

An MCP server that computes Canadian adjusted cost base (ACB) and capital gains from your trade history: average-cost tracking, per-disposition gains, and superficial-loss detection, returned as structured JSON.

Ask your assistant "what are my capital gains for 2024?" or "did I trigger any superficial losses?" and it runs the CRA rules over your transactions instead of you wrestling a spreadsheet.

⚠️ This is a calculation aid, not tax advice. Verify every number before you file, and consult a professional for anything non-trivial. See Limitations.

Works with Claude Desktop, Claude Code, Cursor, or any MCP-compatible client.


Features

Tool What it does
calculate_acb Full calculation: current holdings (shares, total ACB, ACB per share), every disposition with proceeds/ACB/outlays/gain, per-year summaries, and warnings.
acb_summary Just current holdings and their book cost (handy for unrealized gains against a market price).
capital_gains_report A Schedule-3-style report for one tax year: each disposition plus totals, net capital gain, and taxable gain (50% inclusion).
check_superficial_losses Flags losses caught by the 30-day rule, with the denied (deferred) amount per event.
unrealized_gains Current holdings' ACB against market prices you supply: per-position and total unrealized gain in dollars and percent (foreign-quoted securities take a price + fx_rate pair).
normalize_broker_csv Turns a raw broker activity export into clean transactions: maps common column aliases ("Trade Date", "Activity Type", "Quantity"...), keeps buy/sell rows (DRIP counts as a buy), cleans "$1,200"/"(9.95)" formats, and reports every skipped row with a reason.

Implements the CRA average-cost method (all shares of a security pool into one ACB; gains are against the average, not FIFO) and the superficial-loss rule (loss denied and deferred into the ACB of substitute shares bought within 30 days before or after the sale). Commissions and per-trade CAD FX conversion are handled.


Install

Requires Python 3.10+.

uv tool install acb-tax-mcp      # or:  pip install acb-tax-mcp

Run from source without installing:

git clone https://github.com/haiiibin/acb-tax-mcp
cd acb-tax-mcp
uv run acb-tax-mcp

Configure your client

Claude Desktop

In claude_desktop_config.json:

{
  "mcpServers": {
    "acb-tax": {
      "command": "acb-tax-mcp"
    }
  }
}

Claude Code

claude mcp add acb-tax -- acb-tax-mcp

Transactions

Give the tools a list of transactions (or a path to a .csv / .json file).

Field Required Notes
date yes YYYY-MM-DD
action yes buy or sell
security yes ticker / symbol (pooled by this key)
shares yes positive number
price yes price per share, in the trade currency
commission no trade commission (default 0)
currency no e.g. USD (default CAD)
fx_rate no trade currency to CAD, e.g. 1.35 for USD (default 1)
note no free text

CSV uses the same column names as a header row. If your broker's export uses different headers ("Trade Date", "Activity Type", "Symbol", "Quantity"...), run it through normalize_broker_csv first.


Usage

  • "Calculate the ACB and capital gains for the trades in ~/trades.csv."
  • "What's my capital-gains report for 2024?"
  • "Did any of these sales trigger a superficial loss?"
  • "What's my current book cost for XEQT?"
  • "Here's my RBC activity export -- clean it up and compute my ACB."
  • "XEQT is at $35.20 and VTI at $305.40 USD (1.37 CAD): what are my unrealized gains?"

Example

// calculate_acb with:
// buy 100 XYZ @ $10, buy 100 XYZ @ $20, sell 100 XYZ @ $25
{
  "holdings": [
    { "security": "XYZ", "shares": 100.0, "total_acb": 1500.0, "acb_per_share": 15.0 }
  ],
  "dispositions": [
    { "date": "2024-03-01", "security": "XYZ", "shares_sold": 100.0,
      "proceeds": 2500.0, "acb": 1500.0, "capital_gain": 1000.0,
      "is_superficial_loss": false }
  ],
  "summary": {
    "by_tax_year": [
      { "tax_year": 2024, "net_capital_gain": 1000.0, "taxable_capital_gain": 500.0 }
    ],
    "inclusion_rate": 0.5
  }
}

Superficial loss example

Buy 100 @ $10, sell 100 @ $8 (a $200 loss), then rebuy 100 @ $8 nine days later:

{ "gain_before_superficial": -200.0, "superficial_loss_denied": 200.0,
  "capital_gain": 0.0, "is_superficial_loss": true }

The $200 loss is denied and added to the ACB of the repurchased shares (new ACB per share becomes $10), so it is recovered on a future sale.


Limitations

Read these before relying on the output.

  • Average-cost, per identical property. Feed all trades of the same security across your accounts together, since the CRA rule pools identical property at the taxpayer level. The tool pools by the security key you provide.
  • Superficial losses use the standard least-of-three test with a single forward pass. Deeply chained or overlapping superficial losses can need case-by-case professional judgment.
  • Not yet handled: return of capital, reinvested/notional distributions (ETF phantom distributions), stock splits, options, and other corporate actions. These affect ACB and are on the roadmap.
  • FX must be supplied per transaction (use the transaction-date rate). The tool does not fetch exchange rates.
  • Registered accounts (TFSA/RRSP) do not have capital gains; this tool is for non-registered (taxable) accounts.
  • Not tax advice.

Development

uv venv
uv pip install -e ".[dev]"
uv run pytest

License

MIT. See LICENSE.

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