# Machina World Cup Intelligence (remote · worldcup-mcp.org.machina.gg)

World Cup 2026 match, team, player and market context from Machina Sports, the sports AI platform.

- Trust score: 74/100 (medium)
- Change this week: +2
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-20

## Components

- remote · `worldcup-mcp.org.machina.gg`: 74/100 (this document), [markdown](https://verifymcp.io/servers/gg-machina-world-cup-intelligence/worldcup-mcp.md), [page](https://verifymcp.io/servers/gg-machina-world-cup-intelligence/worldcup-mcp)

## Channel facts

- Endpoint: `https://worldcup-mcp.org.machina.gg/sse`
- Transports: `sse`
- Auth: `required`
- Version: `0.1.1`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-09-20.

- **Endpoint Security**: 63/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation not fully verified: no authorisation is required to call this server, and 16 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe.
  - HTTPS is enforced; there's no plaintext access path.
  - The HSTS (Strict-Transport-Security) header is present.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 40/100
  - Verified sse transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 84/100
  - 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 3212 tokens (~128/item across 25 items; 16 tools + 9 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 100/100
  - No destabilizing schema changes in the last 30 days.
- **Tool Coverage**: 67/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 0% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 16 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 18 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### How do I install the Machina World Cup Intelligence MCP server?

Machina World Cup Intelligence is a hosted endpoint at https://worldcup-mcp.org.machina.gg/sse, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add --transport http gg-machina-world-cup-intelligence 'https://worldcup-mcp.org.machina.gg/sse'
```

### Cursor

```json
{
  "mcpServers": {
    "gg-machina-world-cup-intelligence": {
      "url": "https://worldcup-mcp.org.machina.gg/sse"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "gg-machina-world-cup-intelligence": {
      "type": "http",
      "url": "https://worldcup-mcp.org.machina.gg/sse"
    }
  }
}
```

### Codex

```toml
[mcp_servers.gg-machina-world-cup-intelligence]
url = "https://worldcup-mcp.org.machina.gg/sse"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "gg-machina-world-cup-intelligence": {
      "type": "remote",
      "url": "https://worldcup-mcp.org.machina.gg/sse",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add gg-machina-world-cup-intelligence --url 'https://worldcup-mcp.org.machina.gg/sse' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  gg-machina-world-cup-intelligence:
    url: "https://worldcup-mcp.org.machina.gg/sse"
```

### Netclaw

```json
{
  "McpServers": {
    "gg-machina-world-cup-intelligence": {
      "Transport": "http",
      "Url": "https://worldcup-mcp.org.machina.gg/sse"
    }
  }
}
```

### Vellum

```bash
assistant mcp add gg-machina-world-cup-intelligence -t streamable-http -u 'https://worldcup-mcp.org.machina.gg/sse'
```

### Other

```json
{
  "mcpServers": {
    "gg-machina-world-cup-intelligence": {
      "type": "http",
      "url": "https://worldcup-mcp.org.machina.gg/sse"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-09-16 (score 74, +1)

- [security] Stability: 0.97 → pass

### 2026-09-14 (score 73, +1)

No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-12 (score 72, +1)

No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-10 (score 71, +1)

No change was recorded against any check on this day. Stability & Change Management went from 77 to 80. That category is still filling its 30-day observation window: 23 days of observed history at the previous scan, 24 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-08 (score 70, +1)

No change was recorded against any check on this day. Stability & Change Management went from 70 to 73. That category is still filling its 30-day observation window: 21 days of observed history at the previous scan, 22 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-05 (score 69, +1)

No change was recorded against any check on this day. Stability & Change Management went from 60 to 63. That category is still filling its 30-day observation window: 18 days of observed history at the previous scan, 19 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-03 (score 68, +1)

No change was recorded against any check on this day. Stability & Change Management went from 53 to 57. That category is still filling its 30-day observation window: 16 days of observed history at the previous scan, 17 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-01 (score 67, +1)

No change was recorded against any check on this day. Stability & Change Management went from 47 to 50. That category is still filling its 30-day observation window: 14 days of observed history at the previous scan, 15 at this one. The score rises as the window fills, whether or not the server changes.

## MCP tools (16)

### `worldcup_health` (~76 tokens)

Whoami/smoke check — verifies your API key and the product surface.
        Cost: FREE (0 credits). Call this first to validate setup before
        spending credits. Example: worldcup_health()

        Args:
            include_connectors: also report upstream connector reachability.

Input parameters:

- `include_connectors` (boolean)

### `worldcup_get_schedule` (~173 tokens)

Tournament fixtures with their event_urn — the discovery primitive
        every per-fixture tool builds on. Cost: 1 credit (data).
        Example: worldcup_get_schedule(team="Brazil")

        Args:
            team: filter by team name (e.g. "Brazil").
            opponent: filter by opponent name.
            date_from: ISO date lower bound (YYYY-MM-DD).
            date_to: ISO date upper bound (YYYY-MM-DD).
            status: fixture status filter (e.g. "scheduled", "finished").
            limit: max fixtures returned (default 20).

Input parameters:

- `date_from` (string)
- `date_to` (string)
- `limit` (integer)
- `opponent` (string)
- `status` (string)
- `team` (string)

### `worldcup_resolve` (~113 tokens)

Resolve ANY provider id or free-text name (team, player, fixture)
        to the canonical Machina entity + URN via the identity crosswalk.
        Cost: 1 credit (data). Example: worldcup_resolve(id="sr:competitor:4715")

        Args:
            id: provider id (Sportradar/Opta/api-football/...) or a name
                like "Vinicius Jr" / "Brazil vs Morocco".

Input parameters:

- `id` (string, required)

### `worldcup_get_event_context` (~240 tokens)

Enriched single-fixture context: form, group standings slice,
        injuries, optional research extras. Cost: 1 credit (data).
        Example: worldcup_get_event_context(event="Brazil vs Morocco")

        Args:
            event: natural fixture description ("Brazil vs Morocco") — or get
                   event_urn from worldcup_get_schedule.
            event_urn: canonical fixture URN (preferred when known).
            team: team name (alternative to event).
            opponent: opponent name (with team).
            date: fixture date YYYY-MM-DD (disambiguates rematches).
            provider_event_id: a provider's raw event id (auto-resolved).
            include_prematch_research: add grounded pre-match research.
            include_social_pulse: add a social sentiment slice.

Input parameters:

- `date` (string)
- `event` (string)
- `event_urn` (string)
- `include_prematch_research` (boolean)
- `include_social_pulse` (boolean)
- `opponent` (string)
- `provider_event_id` (string)
- `team` (string)

### `worldcup_search_markets` (~167 tokens)

Search Kalshi + Polymarket World Cup markets in one normalized
        shape. Cost: 3 credits (market).
        Example: worldcup_search_markets(team="Brazil")

        Args:
            query: free-text market search.
            team: filter markets involving a team.
            source: "kalshi" or "polymarket" (default: both).
            status: market status filter (e.g. "open").
            limit: max markets returned (default 20).
            force_live: bypass the cache and hit the venues live.

Input parameters:

- `force_live` (boolean)
- `limit` (integer)
- `query` (string)
- `source` (string)
- `status` (string)
- `team` (string)

### `worldcup_get_market_state` (~200 tokens)

Live state of ONE market: price, order-book depth, optional
        candles/trades history. Cost: 3 credits (market). Get market_id from
        worldcup_search_markets.
        Example: worldcup_get_market_state(market_id="KXWC26-BRA", include_history=True)

        Args:
            market_id: the market id/ticker from worldcup_search_markets.
            include_book: include order-book depth (default true).
            include_history: include price history candles.
            include_trades: include recent trades.
            history_hours: history window in hours (default 24).
            history_interval: candle interval (e.g. "1h").

Input parameters:

- `history_hours` (integer)
- `history_interval` (string)
- `include_book` (boolean)
- `include_history` (boolean)
- `include_trades` (boolean)
- `market_id` (string, required)

### `worldcup_get_match_forecast` (~150 tokens)

Dixon-Coles model forecast for one fixture (1X2 probabilities,
        model-vs-market gaps). Cost: 12 credits (intelligence). Get event_urn
        from worldcup_get_schedule.
        Example: worldcup_get_match_forecast(event_urn="urn:machina:...:wor")

        Args:
            event_urn: canonical fixture URN (required).
            include_reasoning: include the model's reasoning trace.
            min_gap_bps: only report model-vs-market gaps above this (bps).

Input parameters:

- `event_urn` (string, required)
- `include_reasoning` (boolean)
- `min_gap_bps` (integer)

### `worldcup_backtest_forecasts` (~87 tokens)

Historical accuracy report of the model over played fixtures
        (calibration + CLV ledger). Cost: 12 credits (intelligence).
        Example: worldcup_backtest_forecasts()

        Args:
            league: league/competition filter (default: World Cup).
            season: season filter.

Input parameters:

- `league` (string)
- `season` (string)

### `worldcup_explain_market_move` (~172 tokens)

Grounded explanation of WHY a market moved: price history + live
        research, source-cited. Cost: 12 credits (intelligence). Get
        market_id from worldcup_search_markets or worldcup_market_watch.
        Example: worldcup_explain_market_move(market_id="KXWC26-BRA")

        Args:
            market_id: the market id/ticker to explain (required).
            window_hours: move window to analyze in hours (default 24).
            min_move_bps: ignore moves smaller than this (basis points).
            include_reasoning: include the reasoning trace.

Input parameters:

- `include_reasoning` (boolean)
- `market_id` (string, required)
- `min_move_bps` (integer)
- `window_hours` (integer)

### `worldcup_find_market_edges` (~151 tokens)

Scan open markets for model-vs-market gaps (informational edge
        candidates across the tournament). Cost: 18 credits (edge).
        Informational only — never betting advice.
        Example: worldcup_find_market_edges(min_edge_bps=300)

        Args:
            min_edge_bps: minimum edge in basis points (default 200).
            limit: max candidates returned (default 10).
            include_reasoning: include per-candidate reasoning.
            status: market status filter (e.g. "open").

Input parameters:

- `include_reasoning` (boolean)
- `limit` (integer)
- `min_edge_bps` (integer)
- `status` (string)

### `worldcup_get_signal` (~301 tokens)

Per-fixture betting signal: fuses the model forecast with the best
        market price into recommendation + edge% + EV + fractional-Kelly
        stake. Cost: 18 credits (edge). Informational decision support —
        never a guaranteed bet.
        Example: worldcup_get_signal(event="Brazil vs Morocco")

        Args:
            event: natural fixture description ("Brazil vs Morocco") — or get
                   event_urn from worldcup_get_schedule.
            event_urn: canonical fixture URN (preferred when known).
            team: team name (alternative to event).
            opponent: opponent name (with team).
            date: fixture date YYYY-MM-DD (disambiguates rematches).
            bankroll: optional bankroll for stake sizing.
            kelly_fraction: fraction of full Kelly (default 0.25).
            min_edge_bps: minimum edge in basis points to surface (default 200).
            fee_bps: market fee in basis points (default 0).
            include_reasoning: include the signal's reasoning trace.

Input parameters:

- `bankroll`
- `date` (string)
- `event` (string)
- `event_urn` (string)
- `fee_bps` (integer)
- `include_reasoning` (boolean)
- `kelly_fraction` (number)
- `min_edge_bps` (integer)
- `opponent` (string)
- `team` (string)

### `worldcup_market_watch` (~81 tokens)

Tournament-wide market-watch card: biggest market movers and
        informational edges across World Cup markets. Cost: 40 credits
        (skill card). ~20 min cache.
        Example: worldcup_market_watch()

        Args:
            force_regen: bypass the ~20min cache and regenerate now.

Input parameters:

- `force_regen` (boolean)

### `worldcup_fan_pulse` (~257 tokens)

Social/news fan-sentiment card (buzz, narratives, breaking news)
        via live X/web search. Tournament-wide by default, or scoped to a
        team or fixture. Cost: 40 credits (skill card). ~1h cache.
        Example: worldcup_fan_pulse(event="Brazil vs Morocco")

        Args:
            event: natural fixture description ("Brazil vs Morocco") — or get
                   event_urn from worldcup_get_schedule.
            event_urn: canonical fixture URN (preferred when known).
            team: scope the pulse to one team.
            opponent: opponent name (with team).
            date: fixture date YYYY-MM-DD (disambiguates rematches).
            query: free-text subject when no event/team is given.
            lookback_hours: search window in hours (0 = workflow default).
            force_regen: bypass the cache and regenerate now.

Input parameters:

- `date` (string)
- `event` (string)
- `event_urn` (string)
- `force_regen` (boolean)
- `lookback_hours` (integer)
- `opponent` (string)
- `query` (string)
- `team` (string)

### `worldcup_match_preview` (~195 tokens)

Grounded match preview card: form, key men, group context, market
        snapshot — source-cited, ready to publish. Cost: 40 credits (skill
        card). Example: worldcup_match_preview(event="Brazil vs Morocco")

        Args:
            event: natural fixture description ("Brazil vs Morocco") — or get
                   event_urn from worldcup_get_schedule.
            event_urn: canonical fixture URN (preferred when known).
            team: team name (alternative to event).
            opponent: opponent name (with team).
            date: fixture date YYYY-MM-DD (disambiguates rematches).
            force_regen: bypass the cache and regenerate now.

Input parameters:

- `date` (string)
- `event` (string)
- `event_urn` (string)
- `force_regen` (boolean)
- `opponent` (string)
- `team` (string)

### `worldcup_match_recap` (~189 tokens)

Post-match recap card, authored once the final whistle blows —
        result, narrative, market settlement. Cost: 40 credits (skill card).
        Example: worldcup_match_recap(event="Brazil vs Morocco")

        Args:
            event: natural fixture description ("Brazil vs Morocco") — or get
                   event_urn from worldcup_get_schedule.
            event_urn: canonical fixture URN (preferred when known).
            team: team name (alternative to event).
            opponent: opponent name (with team).
            date: fixture date YYYY-MM-DD (disambiguates rematches).
            force_regen: bypass the cache and regenerate now.

Input parameters:

- `date` (string)
- `event` (string)
- `event_urn` (string)
- `force_regen` (boolean)
- `opponent` (string)
- `team` (string)

### `worldcup_player_spotlight` (~149 tokens)

Grounded player card: performance context + narrative, source-
        cited. Cost: 40 credits (skill card).
        Example: worldcup_player_spotlight(player="Vinicius Jr", team="Brazil")

        Args:
            player: player name (e.g. "Vinicius Jr").
            team: the player's national team (disambiguates homonyms).
            player_urn: canonical player URN (from worldcup_resolve).
            force_regen: bypass the cache and regenerate now.

Input parameters:

- `force_regen` (boolean)
- `player` (string)
- `player_urn` (string)
- `team` (string)

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/gg-machina-world-cup-intelligence/worldcup-mcp#diagnostics

## Score history

- 2026-09-20: 74
- 2026-09-19: 74
- 2026-09-18: 74
- 2026-09-17: 74
- 2026-09-16: 74
- 2026-09-15: 73
- 2026-09-14: 73
- 2026-09-13: 72
- 2026-09-12: 72
- 2026-09-11: 71
- 2026-09-10: 71
- 2026-09-09: 70
- 2026-09-08: 70
- 2026-09-07: 69
- 2026-09-06: 69
- 2026-09-05: 69
- 2026-09-04: 68
- 2026-09-03: 68
- 2026-09-02: 67
- 2026-09-01: 67
- 2026-08-31: 66
- 2026-08-30: 66
- 2026-08-29: 65
- 2026-08-28: 65
- 2026-08-27: 64
- 2026-08-26: 64
- 2026-08-25: 62
- 2026-08-24: 61
- 2026-08-23: 61
- 2026-08-22: 60

## Common questions

### What is the Machina World Cup Intelligence MCP server?

Machina World Cup Intelligence is an MCP server listed in the public MCP registry as gg.machina/world-cup-intelligence. World Cup 2026 match, team, player and market context from Machina Sports, the sports AI platform. This page covers its hosted endpoint (https://worldcup-mcp.org.machina.gg/sse).

### Is the Machina World Cup Intelligence MCP server safe to use?

Machina World Cup Intelligence scores 74 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the Machina World Cup Intelligence MCP server expose?

Machina World Cup Intelligence exposes 16 tools: worldcup_health, worldcup_get_schedule, worldcup_resolve, worldcup_get_event_context, worldcup_search_markets, and 11 more. Their descriptions and schemas cost roughly 2,701 tokens of context every time the server is loaded.

### Does the Machina World Cup Intelligence MCP server require authentication?

No. We connected to Machina World Cup Intelligence without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the Machina World Cup Intelligence MCP server still maintained?

Machina World Cup Intelligence is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://worldcup-mcp.org.machina.gg/sse
- Authorisation metadata: https://worldcup-mcp.org.machina.gg/.well-known/oauth-protected-resource/sse
- Website: https://machina.gg/world-cup-api
- Changelog RSS feed: https://verifymcp.io/servers/gg-machina-world-cup-intelligence/worldcup-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/gg-machina-world-cup-intelligence/worldcup-mcp.json
- HTML version of this page: https://verifymcp.io/servers/gg-machina-world-cup-intelligence/worldcup-mcp