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Buzzr Sports Engine

NPM · @BUZZR/MCP · SCANNED SEP 21

Local sports math, DFS settlement, bet analytics, and game-entertainment tools.

Available components

0 this week 92 Trust /100
Trust breakdown (7 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 → 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
  • 31 of 98 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 66 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 Management97
  • Stability observed for 29 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
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
Install

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

# add to Claude Code
claude mcp add buzzr-app-dfs-engine -- npx -y @buzzr/mcp
// .cursor/mcp.json
{
  "mcpServers": {
    "buzzr-app-dfs-engine": {
      "command": "npx",
      "args": [
        "-y",
        "@buzzr/mcp"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "buzzr-app-dfs-engine": {
      "command": "npx",
      "args": [
        "-y",
        "@buzzr/mcp"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add buzzr-app-dfs-engine -- npx -y @buzzr/mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "buzzr-app-dfs-engine": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "@buzzr/mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add buzzr-app-dfs-engine --command npx --arg -y --arg @buzzr/mcp
# ~/.hermes/config.yaml
mcp_servers:
  buzzr-app-dfs-engine:
    command: "npx"
    args: ["-y", "@buzzr/mcp"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "buzzr-app-dfs-engine": {
      "Transport": "stdio",
      "Command": "npx",
      "Arguments": [
        "-y",
        "@buzzr/mcp"
      ]
    }
  }
}
# add to Vellum
assistant mcp add buzzr-app-dfs-engine -t stdio -c npx -a -y @buzzr/mcp
// mcp.json
{
  "mcpServers": {
    "buzzr-app-dfs-engine": {
      "command": "npx",
      "args": [
        "-y",
        "@buzzr/mcp"
      ]
    }
  }
}
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.

  • 20 Sept 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.

  • 18 Sept 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.

  • 16 Sept 26 −3
    • Stability: pass → 0.80 functional
  • 15 Sept 26 +1
    • Stability: 0.97 → pass security
  • 13 Sept 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.

  • 11 Sept 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.

  • 9 Sept 26 −3
    • Stability: pass → 0.80 functional
  • 8 Sept 26 +1
    • Stability: 0.97 → pass security
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 21 Sept 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 https://slsa.dev/provenance/v1
Subject digest sha512:e715a26292f4098e2ab4759df6bdb74a7208e1e071166af50fa8ca8a5115f0122d95e4ec4f76fcbc12ebdc5e2277461e8e5446c4f8de5bfebc6784026

Background: How many MCP packages publish verified provenance →

Dependencies 98 packages
Packages resolved 98
Stale 31
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 11 exposed · ~1,314 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. 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 →

Tool Tokens
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.

NameTypeReqDescription
closingAmericanOddsnumberyesAmerican odds when the market closed.
placedAmericanOddsnumberyesAmerican odds when the bet was placed.

No output schema declared.

No examples provided.

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.

NameTypeReqDescription
oppositenumberyesAmerican odds offered for the other side of the same market.
selectednumberyesAmerican odds offered for the side you are evaluating.
selectedSidestringOptional label for the selected side, e.g. "Lakers -3.5".

No output schema declared.

No examples provided.

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.

NameTypeReqDescription
concurrencyinteger
entriesarrayyes

No output schema declared.

No examples provided.

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.

NameTypeReqDescription
actualsByLegIdobjectOptional map of legId to observed stat value, merged in at settlement time.
baseMultiplier
bookIdstringyesDFS book id, e.g. "prizepicks" or "underdog". See list_book_policies.
displayedMultipliernumberyesThe payout multiplier the book displayed at entry time.
entryIdstringyesStable id for the entry being graded.
legsarrayyes
placedAtISO timestamp the entry was placed.
playTypeIdstringyesPlay type id for the book, e.g. "power", "flex", "underdog_standard".
profitBoostPct
stakenumberyesEntry stake in currency units.

No output schema declared.

No examples provided.

kelly_stake ~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.

NameTypeReqDescription
americanOddsnumberyesAmerican odds offered for the bet.
bankrollnumberyesTotal bankroll in currency units.
fractionnumberFraction of full Kelly to recommend. Defaults to 0.25 (quarter-Kelly).
winProbabilitynumberyesYour estimated win probability, strictly between 0 and 1.

No output schema declared.

No examples provided.

list_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 ~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.

NameTypeReqDescription
legsarrayyesEvery leg of the parlay, each with both sides of its market.
offeredAmericanOddsnumberCombined parlay price the book is offering. Defaults to the product of the selected leg prices when omitted.
stakenumberOptional stake; adds expected-value math to the result.

No output schema declared.

No examples provided.

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.

NameTypeReqDescription
awayTeamstringyes
engagementobjectFan engagement signals for the matchup.
gameTypeRegular season, play-in, or playoff.
homeTeamstringyes
injuriesobjectInjury impact per team.
leaguestringyesLeague code, e.g. "NBA", "NFL", "EPL", "WC".
narrativesobjectNarrative flags that boost buzz (rivalries, debuts, revenge games).
oddsobjectBetting-market context for the game.
searchHeatobjectPer-team search interest in [-1, 1].
starPowerMarquee player availability / skill density in [0, 1].
startsAtstringyesISO 8601 kickoff/tip-off time, e.g. "2026-07-06T19:30:00Z".
statusstringGame status. The model only predicts games that are not in progress.
teamPowerobjectTeam power ratings.

No output schema declared.

No examples provided.

rank_games ~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.

NameTypeReqDescription
gamesarrayyes
limitintegerReturn only the top N games.
profileobjectyesThe user taste profile used to personalize the ranking.

No output schema declared.

No examples provided.

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.

NameTypeReqDescription
betsarrayyes
periodstring

No output schema declared.

No examples provided.

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.

NameTypeReqDescription
entryobjectyesA 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.

Common questions

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 92 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 21 September 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 21 September 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.