Ask AI about salaries

What is this?

The salary statistics on this site are also available to AI assistants through an MCP server (Model Context Protocol). Once connected, assistants such as Claude or ChatGPT can answer salary questions using the same official data from national statistics offices — no scraping, no guessing.

Server address

Point any MCP-compatible client at this URL. The endpoint is public and read-only; no account or API key is needed.

How to connect

{
    "mcpServers": {
        "salary-data": {
            "url": "https://salarydata.eu/mcp/salaries"
        }
    }
}

Example questions

Once connected, salary questions can be asked in plain language:

• "Where does a €2,500 gross monthly salary fall in the national distribution of Latvia?"
• "Which sector pays the most in Estonia?"
• "How large is the gender pay gap in Latvia?"
• "What is the average salary by region in Latvia?"
• "What is the average advertised salary for developers in Latvian job ads?"

Available tools

The server exposes five read-only tools backed by the same data as this site:

• salary-percentile-tool — position of a gross monthly salary in the national distribution of eight countries (LV, EE, LT, NO, FI, SE, DK, PL).
• country-overview-tool — headline statistics for one country.
• sector-stats-tool — average salary by sector (LV, EE, DK).
• region-stats-tool — average salary by region (LV, EE).
• gender-pay-gap-tool — gender pay gap time series (LV, EE).
• job-ad-stats-tool — advertised salaries by company and role (job-ad data, not official statistics).

Good to know

• Estimation precision varies by country: Latvia uses exact income brackets, while others use decile or quartile bands. Every answer states its basis and period.
• The endpoint is public, read-only and rate-limited; it never exposes personal data — all statistics are aggregate counts.
• Every response names the national statistics office behind the numbers. Data reuse is subject to each office’s published license.

Data sources