MCP server
Canadian money data for your AI agent
The same engine behind metrestick.ca, exposed over the Model Context Protocol. Ask an assistant Canadian money questions — income percentiles, take-home pay, mortgage affordability, retirement, federal benefits — answered from official Statistics Canada and CRA data, with the source vintage attached. Free, open, and stateless (no accounts, nothing stored).
Connect
Streamable-HTTP endpoint — point any MCP client at it:
Claude Code
Cursor / generic mcp.json
19 tools
Benchmarks
- Income percentile (individual or household)
- Take-home pay (2026 federal + provincial tax, CPP/QPP, EI)
- Net-worth percentile by age
- Raw percentile benchmarks + data vintage
Housing
- Mortgage affordability (GDS/TDS stress test)
- Income needed for a home price
- Rent vs. buy (break-even year)
- Months to a down-payment target
- Housing-cost burden (“am I house-poor?”)
Retirement
- Retirement target + on-track check
- After-tax retirement income (incl. OAS clawback)
- OAS clawback
- GIS estimate
- Pension income splitting
- RRSP-meltdown drawdown simulation
Family & couples
- Second-income value (after tax, benefit clawbacks, childcare)
- Federal family benefits (CCB, GST/grocery, CWB)
Cost & wages
- Cost of living by province
- Occupation wages (national + provincial)
Sources & privacy
Statistics Canada (income & household percentiles, Survey of Financial Security, Survey of Household Spending, wage tables) and CRA 2026 tax + federal benefit parameters (CCB, GST/grocery credit, CWB, OAS/GIS/CPP). Every data tool returns its source vintage so answers can be cited. The server runs stateless: it computes on the inputs in each request and stores nothing.