AI Ball — AI football match analysis
MCPB · AIBALL-MCP.MCPB · 2 COMPONENTS
Football match outcome probabilities recorded before kick-off, and an open record of results.
Available components
Last scanned (19 hours ago)
Scores higher than 93% of MCPB servers
Category Entertainment and Games
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. How we score → Why this is hard to score →
Supply Chain Security23
- 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.Unverified
- Known CVEs were checked across the 92 of 92 dependencies we could resolve, so this covers what we could see, not the whole tree.Partial
- No install/post-install scripts declared.Pass
- 30 of 92 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 18 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability77
- AI-judged instruction clarity (excellent).Pass
- 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. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management67
- Stability observed for 20 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 3 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 3 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 23 Oct 26 +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.
- 21 Oct 26 +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.
- 19 Oct 26 +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.
- 17 Oct 26 +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.
- 15 Oct 26 +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.
- 13 Oct 26 +4
- Stability: unverified → 0.30 ▲ functional
- 4 Oct 26 48
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 24 Oct 2026 · Analysed mcpb/https://github.com/aiballfooty/aiball-mcp/releases/download/v0.3.0/aiball-mcp.mcpb
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | mcpb |
| Reason | No attestation published |
Background: How many MCP packages publish verified provenance →
Dependencies 92 packages
| Packages resolved | 92 |
|---|---|
| Stale | 30 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
get_match_analysis Get outcome probabilities for a match ~130
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.
| Name | Type | Req | Description |
|---|---|---|---|
| lang | string | – | Language for league and team names: en (English) or ms (Malay). |
| match_id | string | yes | match_id from list_matches. |
No output schema declared.
No examples provided.
get_open_record Get the open record ~161
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.
| Name | Type | Req | Description |
|---|---|---|---|
| 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. |
No output schema declared.
No examples provided.
list_matches List matches for a date ~168
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.
| Name | Type | Req | Description |
|---|---|---|---|
| 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. |
No output schema declared.
No examples provided.
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.
mcpb · aiball-mcp.mcpb
Download bundleCheck the download matches the SHA-256 the MCP registry declares before you open it. If it does not match, do not open the file.
SHA-256
50639e62bb5e284edf3562517b598c27b7f13f74027399ee29cc1a441f9a6f1e
macOS / Linux
echo "50639e62bb5e284edf3562517b598c27b7f13f74027399ee29cc1a441f9a6f1e aiball-mcp.mcpb" | shasum -a 256 -c
Windows (PowerShell)
(Get-FileHash -Algorithm SHA256 .\aiball-mcp.mcpb).Hash -eq "50639e62bb5e284edf3562517b598c27b7f13f74027399ee29cc1a441f9a6f1e"
Run it in the folder you saved the bundle to, then open the file with an MCPB-capable host such as Claude Desktop.
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.