Finance Toolkit
500+ transparent financial methods calculated from raw statements, not third-party endpoints.
Description from the maker (original English)
Calculate US household employer (nanny) taxes + run payroll via AI agents. All 50 states.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
NANNYKEEPER_API_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"www": {
"command": "npx",
"args": [
"-y",
"@nannykeeper/mcp-server"
],
"env": {
"NANNYKEEPER_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add www --env NANNYKEEPER_API_KEY=your-value -- npx -y @nannykeeper/mcp-serverFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"www": {
"command": "npx",
"args": [
"-y",
"@nannykeeper/mcp-server"
],
"env": {
"NANNYKEEPER_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"www": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@nannykeeper/mcp-server"
],
"env": {
"NANNYKEEPER_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
The registry name was verified against the domain www.nannykeeper.com (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: NANNYKEEPER_API_KEY
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.20.1) reached the registry 5 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Finance Toolkit, SolidInvoice, Korea Tax Calculator
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Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
500+ transparent financial methods calculated from raw statements, not third-party endpoints.
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Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
The only API for calculating US household employer (nanny) taxes. Covers all 50 states + DC.
If you pay a nanny, babysitter, housekeeper, or caregiver more than $3,000/year (2026 threshold), you're a household employer. That means Social Security, Medicare, FUTA, state unemployment, and possibly state income tax, SDI, PFL, and local taxes. The rules are different in every state. This API handles all of it.
Get a free API key (email only, no credit card) at nannykeeper.com/developers/keys, then:
curl -X POST https://www.nannykeeper.com/api/v1/calculate \
-H "Authorization: Bearer nk_live_YOUR_KEY" \ -H "Content-Type: application/json" \ -d '{"state":"CA","annual_wages":35000,"pay_frequency":"biweekly"}'
Returns employer taxes (Social Security, Medicare, FUTA, state unemployment), employee tax estimates, per-paycheck cost, and threshold status — all from current-year tax data maintained for every state.
Not sure if you even need to pay taxes? The threshold endpoint tells you:
curl -H "Authorization: Bearer nk_live_YOUR_KEY" \
"https://www.nannykeeper.com/api/v1/threshold?state=CA&annual_wages=2500"
For 2026, the federal FICA threshold is $3,000/year per employee. Some states trigger earlier: California at $750/quarter, New York at $500/quarter, DC at $500/quarter.
AI assistants guess at tax calculations. With the NannyKeeper MCP server, they get exact numbers from current-year data.
{
"mcpServers": { "nannykeeper": { "command": "npx", "args": ["@nannykeeper/mcp-server"], "env": { "NANNYKEEPER_API_KEY": "nk_live_YOUR_KEY" } } } }
Add this to your Claude Desktop config, restart, and ask about nanny taxes. Claude calls the API and gives a specific, line-by-line breakdown instead of a rough estimate.
Tools available:
calculate_nanny_taxes — full federal + state tax breakdown for any US statecheck_threshold — whether wages trigger household employer obligationspreview_payroll — dry-run a payroll calculation (no DB writes)run_payroll — run payroll end-to-end with YTD tracking and DB persistence (Starter+ required). As of v1.5.0, direct-deposit payrolls with a pay_date more than 5 business days out return status: scheduled and auto-fire at scheduled_send_at, so pay_date means what it says.Full setup guide: nannykeeper.com/developers/mcp
import requests
response = requests.post( "https://www.nannykeeper.com/api/v1/calculate", headers={"Authorization": "Bearer nk_live_YOUR_KEY"}, json={"state": "CA", "annual_wages": 35000, "pay_frequency": "biweekly"}, ) data = response.json()["data"] print(f"Employer taxes: ${data'employer_taxes':,.2f}/year")
See examples/python/ for the full script.
const response = await fetch("https://www.nannykeeper.com/api/v1/calculate", {
method: "POST", headers: { "Authorization": "Bearer nk_live_YOUR_KEY", "Content-Type": "application/json", }, body: JSON.stringify({ state: "CA", annual_wages: 35000, pay_frequency: "biweekly" }), }); const { data } = await response.json(); console.log(Employer taxes: $${data.employer_taxes.total}/year);
See examples/javascript/ for the full script.
| Plan | Price | Rate limit | For |
|---|---|---|---|
| Free | $0 forever | 50/day | Calculations + threshold checks |
| Starter | $10/mo | 500/day | Full payroll, pay stubs, W-2 generation |
| Plus | $18/mo | 2,000/day | Up to 5 employees, direct deposit ($6/transfer) |
| Professional | $20 + $6/employer | 2,000/day | Up to 50 employers — for CPAs and developers |
All plans include API access. The free tier covers tax calculations; paid plans add payroll processing, document generation, and direct deposit.
Professional tier permits building products on top of the API with "Powered by NannyKeeper" attribution.
For AI agents and developers who need quick reference data:
MCP server and examples are MIT licensed. The NannyKeeper API is a hosted service — see terms.
Built by NannyKeeper — household employer payroll made simple.