Hiasynth Humanity — European demographics & market data MCP server

Hiasynth Humanity

Query humanity.

Europe's population layer. Demographic, spending and market data for every place in Europe, as one remote MCP server, for your AI assistant or inside your own product.

Nobody could say what a Lyon neighbourhood spends on restaurants, or how many renting families in Bavaria earn above the median. Statistics come as national averages, surveys as small samples, and nothing ties who people are to where they live and what they spend. Hiasynth Humanity models it: all 522 million Europeans, each in a household, each household in its neighbourhood, with a line-by-line budget. That's ~700 attributes per person, queryable in any combination, at any resolution down to 1 km². No real person is in it, so it's private by design.

https://mcp.hiasynth.co

Streamable HTTP · OAuth 2.1 (sign in with your Hiasynth account) or an API key · every tool read-only.

Connect

Headless clients send an API key from hiasynth.co/app/mcp as Authorization: Bearer …:

{
  "mcpServers": {
    "hiasynth": {
      "url": "https://mcp.hiasynth.co",
      "headers": { "Authorization": "Bearer YOUR_API_KEY" }
    }
  }
}

Build it into your product

The same server is an API for your features and agents: size a market inside a CRM and show where to dig next, tie a marketing tool's personas to the actual population, or show the wallet size of any neighbourhood.

• Auth: OAuth 2.1 for user-facing apps, or a server-side API key from hiasynth.co/app/mcp (Authorization: Bearer …).
• Responses: structured JSON with the numbers already computed: counts, shares, lift against the local baseline, top places, and a confidence tier. Aggregates only, never individual records.
• Fine control: query_population takes a structured spec (group-by, filters, count/share/avg) for pipelines that need exact shapes.
• Any MCP client library works: the official SDKs, the Claude and OpenAI APIs' MCP connectors, LangChain, or plain JSON-RPC over HTTPS.

What analyzemarket returns for renting families with above-median income in Bavaria* (trimmed):

Shortened. The full README is on GitHub.