Buzzr Sports Engine
NPM · @BUZZR/MCP
Local sports math, DFS settlement, bet analytics, and game-entertainment tools.
Available components
Last scanned (5 hours ago)
Scores higher than 96% of npm 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 Security98
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 30 of 95 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency100
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to Buzzr-app/dfs-engine). View diagnostics → Pass
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 111 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability74
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 1314 tokens (~119/item across 11 items; 11 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 Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage92
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 77% of tool parameters carry a description.Partial
Tool Safety75
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- 0 of 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "fair_line" implies "remove" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. See how to fix → Fail
- An AI judge read all 11 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.
- 3 Nov 26 +1
- Stability: 0.97 → pass security
- 2 Nov 26 −1
- Stability: pass → 0.97 functional
- 27 Oct 26 +1
- Stability: 0.97 → pass security
- 25 Oct 26 −1
- Stability: pass → 0.93 functional
- 19 Oct 26 +1
- Stability: 0.97 → pass security
- 17 Oct 26 +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.
- 15 Oct 26 +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.
- 13 Oct 26 −2
- Security disclosure: unverified → pass ▲ functional
- Stability: pass → 0.80 functional
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 5 Nov 2026 · Analysed npm/@buzzr/mcp@5.1.0
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | npm |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | Buzzr-app/dfs-engine |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/Buzzr-app/dfs-engine/.github/workflows/release.yml@refs/heads/main |
| Rekor log index | 2187079087 |
| Predicate type | SLSA build provenance https://slsa.dev/provenance/v1 |
| Subject digest | sha512:e715a26292f4098e2ab4759df6bdb74a7208e1e071166af50fa8ca8a5115f0122d95e4ec4f76fcbc12ebdc5e2277461e8e5446c4f8de5bfebc6784026 |
Background: How many MCP packages publish verified provenance →
Dependencies 95 packages
| Packages resolved | 95 |
|---|---|
| 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 →
closing_line_value Closing line value ~72
Compare placed and closing American odds with @buzzr/bets-core. Returns the implied-probability delta in percentage points and whether the bet beat the close.
| Name | Type | Req | Description |
|---|---|---|---|
| closingAmericanOdds | number | yes | American odds when the market closed. |
| placedAmericanOdds | number | yes | American odds when the bet was placed. |
No output schema declared.
No examples provided.
fair_line No-vig fair line ~116
Remove the vig from a two-sided market with @buzzr/bets-core. Given the offered American odds for both sides, returns the fair win probability, fair American odds, market overround, and the edge of the selected price versus fair.
| Name | Type | Req | Description |
|---|---|---|---|
| opposite | number | yes | American odds offered for the other side of the same market. |
| selected | number | yes | American odds offered for the side you are evaluating. |
| selectedSide | string | – | Optional label for the selected side, e.g. "Lakers -3.5". |
No output schema declared.
No examples provided.
grade_dfs_entries Grade DFS entries ~64
Settle up to 50 DFS entries with @buzzr/dfs-engine batch settlement. Returns full explainable settlement results, isolated serializable failures, summary counts, and per-call stat-cache metrics.
| Name | Type | Req | Description |
|---|---|---|---|
| concurrency | integer | – | – |
| entries | array | yes | – |
No output schema declared.
No examples provided.
grade_dfs_entry Grade DFS entry ~229
Settle a DFS pick-em entry (PrizePicks/Underdog style) with @buzzr/dfs-engine. Applies the book policy (ties, DNPs, flex payouts), returns the entry status, payout split, per-leg decisions, and explanation codes.
| Name | Type | Req | Description |
|---|---|---|---|
| actualsByLegId | object | – | Optional map of legId to observed stat value, merged in at settlement time. |
| baseMultiplier | – | – | – |
| bookId | string | yes | DFS book id, e.g. "prizepicks" or "underdog". See list_book_policies. |
| displayedMultiplier | number | yes | The payout multiplier the book displayed at entry time. |
| entryId | string | yes | Stable id for the entry being graded. |
| legs | array | yes | – |
| placedAt | – | – | ISO timestamp the entry was placed. |
| playTypeId | string | yes | Play type id for the book, e.g. "power", "flex", "underdog_standard". |
| profitBoostPct | – | – | – |
| stake | number | yes | Entry stake in currency units. |
No output schema declared.
No examples provided.
kelly_stake Kelly stake sizing ~125
Kelly-criterion stake sizing with @buzzr/bets-core. Returns the full Kelly bankroll fraction (clamped at 0 for -EV bets), the fractional-Kelly recommendation, and the recommended stake for the given bankroll.
| Name | Type | Req | Description |
|---|---|---|---|
| americanOdds | number | yes | American odds offered for the bet. |
| bankroll | number | yes | Total bankroll in currency units. |
| fraction | number | – | Fraction of full Kelly to recommend. Defaults to 0.25 (quarter-Kelly). |
| winProbability | number | yes | Your estimated win probability, strictly between 0 and 1. |
No output schema declared.
No examples provided.
list_book_policies List DFS book policies ~49
Enumerate registered executable DFS compatibility policies from the engine and published draft fixtures that are metadata-only. Includes version, effective date, verification, source references, complete play-type metadata, and executable status.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
parlay_value Parlay fair value ~129
Price a parlay with @buzzr/bets-core: removes the vig from each leg, combines the fair leg probabilities into a fair parlay price, and reports the edge of the offered combined odds. With a stake, also returns expected profit and expected ROI.
| Name | Type | Req | Description |
|---|---|---|---|
| legs | array | yes | Every leg of the parlay, each with both sides of its market. |
| offeredAmericanOdds | number | – | Combined parlay price the book is offering. Defaults to the product of the selected leg prices when omitted. |
| stake | number | – | Optional stake; adds expected-value math to the result. |
No output schema declared.
No examples provided.
predict_game_buzz Predict game buzz ~283
Predict how entertaining a game will be (1-10 buzz score) with the @buzzr/entertainment-engine ML model. Returns the score, model confidence, and the weighted factors behind the prediction. Odds, team power, injuries, and narrative context sharpen the estimate.
| Name | Type | Req | Description |
|---|---|---|---|
| awayTeam | string | yes | – |
| engagement | object | – | Fan engagement signals for the matchup. |
| gameType | – | – | Regular season, play-in, or playoff. |
| homeTeam | string | yes | – |
| injuries | object | – | Injury impact per team. |
| league | string | yes | League code, e.g. "NBA", "NFL", "EPL", "WC". |
| narratives | object | – | Narrative flags that boost buzz (rivalries, debuts, revenge games). |
| odds | object | – | Betting-market context for the game. |
| searchHeat | object | – | Per-team search interest in [-1, 1]. |
| starPower | – | – | Marquee player availability / skill density in [0, 1]. |
| startsAt | string | yes | ISO 8601 kickoff/tip-off time, e.g. "2026-07-06T19:30:00Z". |
| status | string | – | Game status. The model only predicts games that are not in progress. |
| teamPower | object | – | Team power ratings. |
No output schema declared.
No examples provided.
rank_games Rank games for a user ~86
Rank candidate games for a specific user with @buzzr/entertainment-engine v5: base entertainment score plus bounded personal-affinity and social adjustments. Returns the ranked list with per-game factor breakdowns.
| Name | Type | Req | Description |
|---|---|---|---|
| games | array | yes | – |
| limit | integer | – | Return only the top N games. |
| profile | object | yes | The user taste profile used to personalize the ranking. |
No output schema declared.
No examples provided.
summarize_bet_history Summarize bet history ~62
Summarize up to 500 bet records with @buzzr/bets-core. Returns the overall rollup, UTC period buckets, maximum drawdown, and win/loss streaks.
| Name | Type | Req | Description |
|---|---|---|---|
| bets | array | yes | – |
| period | string | – | – |
No output schema declared.
No examples provided.
validate_dfs_entry Validate DFS entry ~99
Run the @buzzr/dfs-engine runtime validators against a candidate DFS entry. Returns ok plus structured error/warning issues (code, message, path, legIds) without settling anything.
| Name | Type | Req | Description |
|---|---|---|---|
| entry | object | yes | A candidate DfsEntryInput object (entryId, bookId, playTypeId, stake, displayedMultiplier, legs[]). Passed as-is to the engine validators so malformed entries return structured issues instead of sche… |
No output schema declared.
No examples provided.
How do I install the Buzzr Sports Engine MCP server?
Buzzr Sports Engine runs locally as an npm package, launched with npx -y @buzzr/mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · @buzzr/mcp
claude mcp add buzzr-app-dfs-engine -- npx -y @buzzr/mcp
What is the Buzzr Sports Engine MCP server?
Buzzr Sports Engine is an MCP server listed in the public MCP registry as io.github.Buzzr-app/dfs-engine. Local sports math, DFS settlement, bet analytics, and game-entertainment tools. This page covers its npm package (@buzzr/mcp).
Is the Buzzr Sports Engine MCP server safe to use?
Buzzr Sports Engine scores 93 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. It declares no install or post-install scripts. Its build provenance is signed and verified. 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 Buzzr Sports Engine MCP server expose?
Buzzr Sports Engine exposes 11 tools: grade_dfs_entry, grade_dfs_entries, validate_dfs_entry, list_book_policies, fair_line, and 6 more. Their descriptions and schemas cost roughly 1,314 tokens of context every time the server is loaded.
Is the Buzzr Sports Engine MCP server still maintained?
Buzzr Sports Engine is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the Buzzr Sports Engine MCP server under?
Buzzr Sports Engine declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.