Salary data MCP server
Ask an assistant about pay, answered from official figuresAdd one address to Claude, ChatGPT, Cursor or Claude Code and ask in plain words. The assistant calls Salary Data API for the figures, with your own plan, and says each figure's period and currency.
https://salarydataapi.com/mcpHow does a nurse's pay compare across the countries that publish it?
find_occupation q=nurse
occupation_across_countries the id it found
The assistant answers from the figures: each country's latest pay for nursing professionals, its period and currency, and US dollars to compare.
Add it
Claude and ChatGPT sign you in with your account; Claude Code and Cursor take your key in a header. Each assistant gets a key of its own, which you can stop in your account at any time.
- Settings, Connectors, Add custom connector.
- Name it Salary Data API, and paste the address above.
- Connect: sign in with Google and Allow. Claude gets a key of its own.
- Settings, Connectors, Create.
- Paste the address above and choose OAuth.
- Sign in with Google and Allow.
- Run this once, with your key:
claude mcp add --transport http salarydataapi https://salarydataapi.com/mcp \ --header "Authorization: Bearer YOUR_KEY"
- Settings, MCP, Add new server.
- Paste the address above, with your key in an Authorization header.
{"salarydataapi": {"url": "https://salarydataapi.com/mcp", "headers": {"Authorization": "Bearer YOUR_KEY"}}}The tools
14 tools, each calling the API with your key, so your plan and its limits apply as they do to any call. Every tool in full
| Tool | What it does | Calls |
|---|---|---|
| get_pay | The pay figure you ask for: a country, a statistic and period of pay, and any breakdown. The latest period unless you ask for others. | /v1/pay |
| list_countries | Every country with figures, its region, its currency and how much it publishes. | /v1/countries |
| country_headline | A country's headline pay figure: everyone, every occupation, the median where it publishes one, else the mean. | /v1/countries/{cc}/headline |
| search_series | Every pay series that matches what you ask for: a country, a statistic, a period of pay and any breakdown. | /v1/series |
| series_history | Every figure of a series, oldest first, for the whole country or one area. | /v1/series/{id}/observations |
| find_occupation | Occupations whose name or code matches what you type. | /v1/occupations/search |
| occupation_across_countries | An occupation's latest pay in every country that publishes it, in one call, with US dollars to compare. | /v1/occupations/{id}/pay |
| occupation_distribution | An occupation's pay from the 10th to the 90th percentile, where the country publishes them. | /v1/occupations/{id}/distribution |
| gender_gap | How much less women are paid than men, in per cent of men's pay, by period, for everyone or each occupation and age band. | /v1/pay/gender-gap |
| compare_countries | The countries you name side by side on one figure, in their own currency and in US dollars. | /v1/compare/countries |
| rank_countries | Every country ranked on its headline pay in US dollars, a year's pay, highest first. | /v1/rank |
| convert_money | An amount from one currency to another at a period's average rate. | /v1/convert |
| adjust_for_prices | An amount of a country's money in one year, in the prices of another year, from its consumer price index. | /v1/adjust |
| latest_releases | New and changed pay tables as they reach the API, newest first. | /v1/releases |
The MCP server comes with Analyst
500,000 calls a month, one role across countries, pay gaps, and every tool.