A
licenseA
qualityC
maintenanceProvides AI assistants with sports model win probabilities and fair odds across nine sports without requiring an API key.
3
60
MIT
good-sport
Server Details
Sports-analytics research assistant that grades its own model and reports the losses. $9.99/mo.
Ownership verified
- Status
- Unhealthy
- OAuth
- Works in Glama
- Last Tested
- Transport
- Streamable HTTP
- URL
TDQS
A4.1/5.0
Disambiguation4/5
Most tools have distinct purposes with detailed descriptions. However, 'live_props' and 'prop_slate' are very similar, both showing props with model edge, which could cause confusion. Additionally, 'predictions' also includes props, adding overlap. Minor ambiguity exists.
Naming Consistency3/5
Tool names use a mix of verb+noun, noun+noun, and adjective+noun patterns. While each name is descriptive, there is no consistent naming convention across the set (e.g., analyze_prop vs. prop_slate vs. live_props). This inconsistency could make it harder for an agent to infer tool purpose from name alone.
Tool Count5/5
With 12 tools covering a diverse range of sports prediction and analysis tasks (model predictions, prop analysis, parlay building, performance evaluation, data quality, etc.), the count is well-scoped. Each tool serves a clear purpose, and there is no bloat or redundancy that makes the set unwieldy.
Completeness4/5
The tool set covers the core functionality one would expect from a sports prediction server: model predictions for games and props, edge analysis, parlay construction, performance tracking, data quality monitoring, and market movement detection. The inclusion of a health check and draft advisor adds value. However, the set is heavily focused on Underdog/PrizePicks and Kalshi, and lacks coverage for other sportsbook types (e.g., traditional spread betting tools). Minor gaps exist.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
1 tool update
- Changed
model_performance4 fields changed- added
Input schema / properties / marketAdded value: +{ + "default": "game", + "description": "'game' (default) or 'props' (per-family prop performance).", + "type": "string" +} - changed
Input schema / properties / max_date / descriptionPrevious value: -"latest game date to include (YYYY-MM-DD)."New value: +"latest game/prediction date to include (YYYY-MM-DD)." - changed
Input schema / properties / min_date / descriptionPrevious value: -"earliest game date to include (YYYY-MM-DD)."New value: +"earliest game/prediction date to include (YYYY-MM-DD)." - changed
Input schema / properties / target / descriptionPrevious value: -"'winner' or 'spread'; omit for all."New value: +"'winner' or 'spread' (market='game' only); omit for all."
1 tool update
- Changed
draft_advisor1 field changed- added
Input schema / properties / draft_slotAdded value: +{ + "anyOf": [ + { + "type": "integer" + }, + { + "type": "null" + } + ], + "default": null, + "description": "your slot in the round-1 draft order (1..teams),\nstandard snake assumed. \"I have the 6th pick\" -> draft_slot=6.\nPass whenever the user's draft position is known — enables\ndraft_position + gone_by_your_pick." +}
12 tool updates
- First observed
analyze_prop - First observed
build_parlay - First observed
clv_analysis - First observed
data_quality - First observed
draft_advisor - First observed
kalshi_edges - First observed
live_props - First observed
model_performance - First observed
ping - First observed
predictions - First observed
prop_slate - First observed
smart_money
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