Analytics

fynqo.app

Provide access to the Cracks Index data for querying country scores, rankings, and comparisons.

1 endpoint15 known toolsFirst detected May 29, 2026Last detected September 6, 2026

ENDPOINT 1

https://api.fynqo.app/mcp/cracks

No auth detected

MCP server metadata

Name: cracks-index
Version: 1.29.1

Capabilities

experimentalpromptsresourcestools

Server instructions

The Cracks Index MCP server. A free, reproducible open-data index that ranks OECD/EU countries, EU NUTS-2 regions and Dutch municipalities on the strength of their social safety net. Every tool is read-only and returns area-level aggregates only (no personal data); each response carries the dataset version, a caveat and a ready-to-quote citation. Use it to look up a ranking, compare areas, inspect a per-indicator breakdown, find the highest-impact improvement for an area, or read the methodology. Data is licensed CC-BY-4.0.

Known tools 15

get_cracks_index

Return the full country ranking for the latest published snapshot.

Inferred read-only

compare_countries

Compare the composite score and rank of several countries.

Inferred read-only

country_detail

Return one country's score, rank and per-indicator breakdown.

Inferred read-only

country_fix

Return the single highest-impact improvement for one country.

Inferred read-only

get_regions

List sub-national areas in the Cracks Index, ranked within their level.

Inferred read-only

region_detail

Return one sub-national area: score, rank, indicator breakdown and fix.

Inferred read-only

improvement_guidance

Return constructive improvement guidance for one area.

Inferred read-only

methodology

Return the index methodology: indicators, weights, direction, sources.

Inferred read-only

score_trends

Return one area's composite-score history across every snapshot.

Inferred read-only

top_movers

Return the biggest risers and fallers between the two latest snapshots.

Inferred read-only

indicator_ranking

Rank all areas by a single chosen indicator.

Inferred read-only

indicator_correlations

Return pairwise correlations between the six indicators across areas.

Inferred read-only

area_statistics

Return where one area sits statistically within its own level.

Inferred read-only

gemeente_social_profile

Return the Dutch social-domain profile for one municipality.

Inferred read-only

compare_gemeenten

Compare the social-domain profile of several Dutch municipalities.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.cracks-index]
url = "https://api.fynqo.app/mcp/cracks"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "cracks-index": {
      "type": "http",
      "url": "https://api.fynqo.app/mcp/cracks"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: cracks-index
Remote MCP URL: https://api.fynqo.app/mcp/cracks

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "cracks-index": {
      "url": "https://api.fynqo.app/mcp/cracks"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "cracks-index": {
      "type": "http",
      "url": "https://api.fynqo.app/mcp/cracks"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "cracks-index",
  "transport": "streamable-http",
  "url": "https://api.fynqo.app/mcp/cracks"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for fynqo.app was fetched 2026-07-26T22:00:37.190Z and is being refreshed.

Trust status Trusted

fynqo.app is assessed as Trusted: Domain runs a meaningful technology spend, consistent with a real business.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.