# AI Ball — AI football match analysis (mcpb · aiball-mcp.mcpb)

Football match outcome probabilities recorded before kick-off, and an open record of results.

- Trust score: 57/100 (low)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-10-24

## Components

- remote · `aiball.samagent.ai`: 80/100, [markdown](https://verifymcp.io/servers/aiballfooty-aiball-mcp/aiball.md), [page](https://verifymcp.io/servers/aiballfooty-aiball-mcp/aiball)
- mcpb · `aiball-mcp.mcpb`: 57/100 (this document), [markdown](https://verifymcp.io/servers/aiballfooty-aiball-mcp/aiball-mcp.md), [page](https://verifymcp.io/servers/aiballfooty-aiball-mcp/aiball-mcp)

## Channel facts

- Registry: `mcpb`
- Package: `https://github.com/aiballfooty/aiball-mcp/releases/download/v0.3.0/aiball-mcp.mcpb`
- Transport: `stdio`
- SHA-256: `50639e62bb5e284edf3562517b598c27b7f13f74027399ee29cc1a441f9a6f1e`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, 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 2026-10-24.

- **Supply Chain Security**: 23/100
  - No malware scan is available for this kind of package: the supply-chain vendors we use do not cover it. This is a permanent gap in our coverage, not a finding about the package.
  - Known CVEs were checked across the 92 of 92 dependencies we could resolve, so this covers what we could see, not the whole tree.
  - No install/post-install scripts declared.
  - 30 of 92 dependencies flagged as unhealthy.
- **Provenance & Transparency**: 45/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 18 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 77/100
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 459 tokens (~153/item across 3 items; 3 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 67/100
  - Stability observed for 20 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% 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 3 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 3 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 AI Ball — AI football match analysis MCP server?

AI Ball — AI football match analysis ships as an MCPB bundle, a single file you download and open in an MCP host that supports MCPB bundles, such as Claude Desktop. The host reads the launch command from the bundle's own manifest, so there is no command to copy. Before opening it, check the file's SHA-256 matches the one the MCP registry declares for it, 50639e62bb5e284edf3562517b598c27b7f13f74027399ee29cc1a441f9a6f1e; the commands to do that are on this page. If it does not match, do not open it.

- Download bundle: `https://github.com/aiballfooty/aiball-mcp/releases/download/v0.3.0/aiball-mcp.mcpb`
- SHA-256: `50639e62bb5e284edf3562517b598c27b7f13f74027399ee29cc1a441f9a6f1e`

### Verify on macOS / Linux

```bash
echo "50639e62bb5e284edf3562517b598c27b7f13f74027399ee29cc1a441f9a6f1e  aiball-mcp.mcpb" | shasum -a 256 -c
```

### Verify on Windows (PowerShell)

```powershell
(Get-FileHash -Algorithm SHA256 .\aiball-mcp.mcpb).Hash -eq "50639e62bb5e284edf3562517b598c27b7f13f74027399ee29cc1a441f9a6f1e"
```

## 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.

### 2026-10-23 (score 57, +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.

### 2026-10-21 (score 56, +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.

### 2026-10-19 (score 55, +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.

### 2026-10-17 (score 54, +1)

No change was recorded against any check on this day. Stability & Change Management went from 40 to 43. That category is still filling its 30-day observation window: 12 days of observed history at the previous scan, 13 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-15 (score 53, +1)

No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-13 (score 52, +4)

- [functional improvement] Stability: unverified → 0.30

### 2026-10-04 (score 48)

First indexed and scored.

## MCP tools (3)

### `list_matches` (~168 tokens)

List matches for a date

Matches for one calendar day: match_id, kick-off time (UTC), league, teams and status. status is `upcoming` (pre-kick-off read is locked), `pending` (current read, may still change before kick-off) or `finished`. Pass a match_id to get_match_analysis for the outcome probabilities and, once played, the result.

Input parameters:

- `date` (string): YYYY-MM-DD. Defaults to today in `tz`.
- `lang` (string): Language for league and team names: en (English) or ms (Malay).
- `league` (string): Only matches from this league, by name as shown in the results, e.g. "Premier League".
- `tz` (string): IANA time zone that decides which calendar day a match belongs to.

### `get_match_analysis` (~130 tokens)

Get outcome probabilities for a match

For one match: the model's home / draw / away probabilities as recorded before kick-off (fractions that sum to 1), its most likely outcome, a confidence score, the pre-match favourite, and when the read was captured. For a finished match it also returns the final score and whether the most likely outcome happened (`hit`). This version returns the `balanced` model; `models_available` lists what is included.

Input parameters:

- `lang` (string): Language for league and team names: en (English) or ms (Malay).
- `match_id` (string, required): match_id from list_matches.

### `get_open_record` (~161 tokens)

Get the open record

How the model's pre-kick-off reads turned out. Without arguments: the whole public record. With `week_start`: one Monday-to-Sunday week. Returns matches counted (`n`), how many went the model's way (`hits`), the same matches scored by always taking the pre-match favourite and by one in three, and the breakdown by confidence band. `hit_rate` is a percentage; null means the sample is under `min_band_sample`, so quote the counts instead. Misses are counted the same way as hits.

Input parameters:

- `tz` (string): IANA time zone that decides which calendar day a match belongs to.
- `week_start` (string): Monday of the week, YYYY-MM-DD. Omit for the whole record.

## Diagnostics

Captured diagnostic sections: Provenance, Dependencies. The full working is on the page: https://verifymcp.io/servers/aiballfooty-aiball-mcp/aiball-mcp#diagnostics

## Score history

- 2026-10-24: 57
- 2026-10-23: 57
- 2026-10-22: 56
- 2026-10-21: 56
- 2026-10-20: 55
- 2026-10-19: 55
- 2026-10-18: 54
- 2026-10-17: 54
- 2026-10-16: 53
- 2026-10-15: 53
- 2026-10-14: 52
- 2026-10-13: 52
- 2026-10-12: 48
- 2026-10-10: 48
- 2026-10-07: 48
- 2026-10-04: 48

## Common questions

### What is the AI Ball — AI football match analysis MCP server?

AI Ball — AI football match analysis is an MCP server listed in the public MCP registry as io.github.aiballfooty/aiball-mcp. Football match outcome probabilities recorded before kick-off, and an open record of results. This page covers its MCPB bundle (https://github.com/aiballfooty/aiball-mcp/releases/download/v0.3.0/aiball-mcp.mcpb).

### Is the AI Ball — AI football match analysis MCP server safe to use?

AI Ball — AI football match analysis scores 57 out of 100 on VerifyMCP. It declares no install or post-install scripts. 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 AI Ball — AI football match analysis MCP server expose?

AI Ball — AI football match analysis exposes 3 tools: list_matches, get_match_analysis, get_open_record. Their descriptions and schemas cost roughly 459 tokens of context every time the server is loaded.

### What licence is the AI Ball — AI football match analysis MCP server under?

AI Ball — AI football match analysis declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.

## Links

- Repository: https://github.com/aiballfooty/aiball-mcp
- Website: https://aiball.samagent.ai/en/?src=mcp
- Changelog RSS feed: https://verifymcp.io/servers/aiballfooty-aiball-mcp/aiball-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/aiballfooty-aiball-mcp/aiball-mcp.json
- HTML version of this page: https://verifymcp.io/servers/aiballfooty-aiball-mcp/aiball-mcp