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Sports Context Protocol

NPM · SPORTS-CONTEXT-PROTOCOL · SCANNED AUG 3

Self-learning operational context layer for AI sports agents. Profile 001: golf.

+19 this week 67 Trust /100
Trust breakdown (6 categories)

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 →

Supply Chain Security87
  • No malware found by supply-chain analysis.Pass
  • Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.Partial
  • No install/post-install scripts declared.Pass
  • Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency45
Schema Quality & AI Usability81
  • 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 859 tokens (~42/item across 20 items; 9 tools + 11 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management27
  • Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage67
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

npm · sports-context-protocol

# add to Claude Code
claude mcp add dswane-sports-context-protocol -- npx -y sports-context-protocol
# add to Codex CLI
codex mcp add dswane-sports-context-protocol -- npx -y sports-context-protocol
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "dswane-sports-context-protocol": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "sports-context-protocol"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add dswane-sports-context-protocol --command npx --arg -y --arg sports-context-protocol
# ~/.hermes/config.yaml
mcp_servers:
  dswane-sports-context-protocol:
    command: "npx"
    args: ["-y", "sports-context-protocol"]
// mcp.json
{
  "mcpServers": {
    "dswane-sports-context-protocol": {
      "command": "npx",
      "args": [
        "-y",
        "sports-context-protocol"
      ]
    }
  }
}
Changelog

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.

  • 3 Aug 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

  • 2 Aug 26 +43
    • Provenance: unverified → fail security
    • Install scripts: unverified → pass security
    • Known CVEs: unverified → partial security
    • Malware scan: unverified → pass security
    • Schema quality: 100 → unverified functional
    • Security disclosure: fail → unverified functional
    • Tool coverage: 100 → unverified functional
    • License: unverified → pass functional
    • Dependency health: unverified → partial functional
    • Maintenance: unverified → pass functional
    • MCP protocol: unverified → pass functional
    • Stability: unverified → 0.23 functional
    • Schema quality: unverified → good functional
    • Licence: MIT functional
  • 1 Aug 26 +18
    • Tool coverage: unverified → 100 functional
    • Schema quality: unverified → 100 functional
  • 31 Jul 26 −25
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 30 Jul 26 −18
    • Malware scan: pass → unverified security
  • 27 Jul 26 48

    First indexed and scored.

Diagnostics

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 3 Aug 2026 · Analysed npm/[email protected]

Provenance none

Ecosystem: npm · Outcome: none

Dependencies 95 packages

95 packages in the resolved dependency tree · 95 deprecated · 29 stale.

The dependency tree was only partially resolved, so these counts may be incomplete.

MCP tools — 9 exposed · ~711 tokens

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.

Tool Tokens
check_booking_action ~91

Checks whether a booking is allowed, blocked, risky, or warns based on policy and learned memory. Writes a decision event to the ledger.

NameTypeReqDescription
agentIdstring
courseIdstring
datestring
nowstring
playersinteger
publicAgentboolean
requestedStartTimestringyes

No output schema declared.

No examples provided.

check_pricing_action ~92

Checks whether a quoted or discounted price is allowed, given the absolute floor, time-window rate, discount limits, approval rules, and learned pricing patterns. Writes a decision event.

NameTypeReqDescription
agentIdstring
courseIdstring
currentPricenumberyes
datestring
proposedPricenumberyes
startTimestringyes

No output schema declared.

No examples provided.

create_soft_hold ~86

Creates a temporary hold on a tee time before confirmation. Marks the slot as soft_hold on the tee sheet.

NameTypeReqDescription
agentIdstring
courseIdstring
datestring
golferNamestring
playersinteger
startTimestring
teeTimeIdstring

No output schema declared.

No examples provided.

explain_action ~60

Explains a decision result for a chosen audience: golfer (simple, no internal language), operator (operational detail), or developer (structured detail).

NameTypeReqDescription
actionTypestringyes
audiencestring
resultobjectyes

No output schema declared.

No examples provided.

get_available_inventory ~70

Finds available tee times near a preferred time. Never returns protected, booked, or blocked inventory as bookable.

NameTypeReqDescription
datestring
playersinteger
preferredTimestring
publicAgentboolean
timeWindowMinutesnumber

No output schema declared.

No examples provided.

get_course_context ~66

Returns the full operating context for the course: tee-sheet summary, inventory, booking and pricing policies, events, weather, pace risks, recent decisions, and learning insights. An agent should call this before acting.

NameTypeReqDescription
courseIdstring
datestring

No output schema declared.

No examples provided.

get_learning_insights ~56

Returns what SCP has learned: lessons, operator preferences, pricing and pace patterns, and similar past decisions. Optionally filtered to a decision fingerprint key.

NameTypeReqDescription
courseIdstring
fingerprintKeystring

No output schema declared.

No examples provided.

submit_outcome_feedback ~65

The learning tool. Attaches an outcome to a past decision and updates SCP's learning memory so future similar decisions improve.

NameTypeReqDescription
decisionEventIdstringyes
feedbackTypestringyes
metricsobject
notesstring

No output schema declared.

No examples provided.

write_decision_event ~125

Logs a decision event to the ledger. Most decision tools write their own events; this tool is for agents that want to log an action directly.

NameTypeReqDescription
actionTypestringyes
agentIdstring
allowedbooleanyes
courseIdstring
fingerprintKeystring
inputSummarystringyes
reasonsarray
requiresApprovalboolean
resultSummarystringyes
riskLevelstring
toolNamestringyes

No output schema declared.

No examples provided.