MCP server

The Cracks Index

io.github.johanvd75-byte/cracks-index

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Read-only MCP server for The Cracks Index: ranks countries and regions on social-safety strength

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

15

Token cost

About 3,326 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http cracks-index https://api.fynqo.app/mcp/cracks/

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

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

Gemini CLI

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

Cursor

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

VS Code

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

Antigravity

agy mcp add cracks-index https://api.fynqo.app/mcp/cracks/

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"cracks-index","server_url":"https://api.fynqo.app/mcp/cracks/","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"cracks-index","server_url":"https://api.fynqo.app/mcp/cracks/"}

Tools

• area_statistics ~231 tokens
  Return where one area sits statistically within its own level. Places an area against its peer group (all areas at the same level in the latest snapshot): its percentile, the distance from its composite score to the level median, best and worst, and the handful of areas nearest to i
• compare_countries ~139 tokens
  Compare the composite score and rank of several countries. ``iso3_list`` is a list of ISO-3166 alpha-3 country codes.
• compare_gemeenten ~246 tokens
  Compare the social-domain profile of several Dutch municipalities. Given two to six CBS GM-codes, returns a side-by-side comparison of their four v1 social-domain indicators plus composite score and rank. Useful for an agent answering "how does municipality A compare to B on the soc
• country_detail ~98 tokens
  Return one country's score, rank and per-indicator breakdown.
• country_fix ~161 tokens
  Return the single highest-impact improvement for one country. The Cracks Index names, alongside each country's score, the one change most associated with the fastest improvement, turning a ranking into a constructive, actionable signal. Read-only, no personal data.
• gemeente_social_profile ~293 tokens
  Return the Dutch social-domain profile for one municipality. Given a CBS GM-code, returns that municipality's four v1 social-domain indicators — social-assistance receipt, modelled homelessness, Wmo use and youth-care use — each with its raw value, source and whether it was measured
• get_cracks_index ~56 tokens
  Return the full country ranking for the latest published snapshot.
• get_regions ~420 tokens
  List sub-national areas in the Cracks Index, ranked within their level. The index covers sub-national areas as well as countries: EU regions (NUTS-2) and Dutch municipalities. This tool returns those areas with their composite score and rank. Parameters ---------- level : o
• improvement_guidance ~318 tokens
  Return constructive improvement guidance for one area. Given an area identifier — an ISO-3166 alpha-3 country code, an EU NUTS-2 region code or a Dutch municipality CBS GM-code — returns that area's highest-impact improvement lever from the Cracks Index, together with Fynqo's approa
• indicator_correlations ~244 tokens
  Return pairwise correlations between the six indicators across areas. Computes the Pearson correlation coefficient between every pair of the six Cracks Index indicators, using each area's direction-corrected normalised score. Adds a short plain-language note naming the strongest rel
• indicator_ranking ~337 tokens
  Rank all areas by a single chosen indicator. Returns every area's value for one indicator, ordered best-first by the direction-corrected ``normalized_score`` (a higher normalised score always means fewer cracks on that indicator). The raw value and unit are included so the figure ca
• methodology ~54 tokens
  Return the index methodology: indicators, weights, direction, sources.
• region_detail ~225 tokens
  Return one sub-national area: score, rank, indicator breakdown and fix. Given a region code (an EU NUTS-2 code or a Dutch municipality CBS GM-code), returns that area's composite score, its rank within its own level (regions rank against regions, municipalities against municipalitie
• score_trends ~232 tokens
  Return one area's composite-score history across every snapshot. Given an area identifier — an ISO-3166 alpha-3 country code, an EU NUTS-2 region code or a Dutch municipality CBS GM-code — walks every published Cracks Index snapshot and returns that area's composite score and rank a
• top_movers ~272 tokens
  Return the biggest risers and fallers between the two latest snapshots. Compares every area's composite score in the most recent snapshot against the snapshot before it and returns the areas that improved most (``improvers`` — score fell) and worsened most (``decliners`` — score ros

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