cove-fi
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@cove-fiRun a scenario with retirement year 2048"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
cove-fi
A deterministic, annual retirement / financial-independence projection engine — plan files in, a year-by-year net-worth projection out, with a CLI and an MCP server so you can run it from a terminal or just talk to it from Claude Desktop, Claude Code, or Cursor. It's the Project module of the Cove suite (Balance → Plan → Project), but works entirely standalone.
Quickstart
npm install -g @walensis/cove-fi # or: npx @walensis/cove-fi <command>
cove-fi init my-plan.toml # scaffold a starter plan
# edit birth_year, salary amount, and retirement_year in my-plan.toml
cove-fi run my-plan.toml # project it
cove-fi scenario my-plan.toml --retirement-year 2048 # try a scenarioSet an income's end = "retirement" (the scaffolded salary already is) and
it ends automatically the year before retirement_year — including under a
--retirement-year scenario override, which moves it too.
Full walkthrough, MCP setup, and command reference:
packages/cove-fi/README.md.
Related MCP server: banktivity-mcp
Docs
docs/ASSUMPTIONS.md— every default value and its citationdocs/SEMANTICS.md— the engine's rules: the contribution waterfall, drawdown order, sentinels, and moredocs/VALIDATION.md— how the engine is validated against published research and primary sourcesdocs/clients/— MCP setup for Claude Desktop, Claude Code, and Cursor
Validation
The engine is validated against published research and primary sources —
closed-form math, cross-plan invariants, IRS-table pins, and a Monte Carlo
benchmark against the Trinity-study withdrawal-rate literature. See
docs/VALIDATION.md for the full methodology,
citations, and an honest accounting of current limitations.
Roadmap
0.2 — Monte Carlo simulation (historical block-bootstrap returns)
0.3 — integrations (third-party import/export), portfolio mixes
License
MIT — see LICENSE.
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