Buzzr Sports Engine
Overview
Description from the maker (original English)
Local sports math, DFS settlement, bet analytics, and game-entertainment tools.
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Games, sports, food & learning
Install
Pick the AI app you use, then copy the settings.
Passed 3/3 checks · Runs on your computer
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
Install Node.js
One time only; it works for every server that needs Node.js
Open the Claude desktop app’s settings file
SettingsDeveloperEdit Config
Paste these settings and save the file
{ "mcpServers": { "dfs-engine": { "command": "npx", "args": [ "-y", "@buzzr/mcp" ] } } }Quit Claude and open it again
Try it
Use Buzzr Sports Engine and tell me what you can do for me, then show me one thing✓ If Claude says it is using Buzzr Sports Engine or shows a Buzzr Sports Engine tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect Buzzr Sports Engine yet
Buzzr Sports Engine runs on your computer, but ChatGPT can only connect servers that run on the web
What you can do instead
A · Use an app that can connect Buzzr Sports Engine
- Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
- Install Node.js on your computer first (one time)
- Install Node.js on your computer first (one time)
- Install Node.js on your computer first (one time)
B · Others in Games, sports, food & learning that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
- ShipSwift✓ ChatGPT
- Anime Garden✓ ChatGPT
- StyleKit✓ ChatGPT
Works with Claude Code, with some setup first
Install Node.js on your computer first (one time)
Install Node.js
One time only; it works for every server that needs Node.js
Open Terminal
Mac: press Command+Space and type Terminal · Windows: open PowerShell
Paste this command and press Enter
claude mcp add dfs-engine -- npx -y @buzzr/mcpType /mcp in Claude Code
You should see Buzzr Sports Engine listed as connected
Try it
Use Buzzr Sports Engine and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using Buzzr Sports Engine or shows a Buzzr Sports Engine tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor, with some setup first
Install Node.js on your computer first (one time)
Install Node.js
One time only; it works for every server that needs Node.js
Open the AI chat in Cursor in Agent mode
Try it
Use Buzzr Sports Engine and tell me what you can do for me, then show me one thing✓ If Cursor says it is using Buzzr Sports Engine or shows a Buzzr Sports Engine tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code, with some setup first
Install Node.js on your computer first (one time)
Install Node.js
One time only; it works for every server that needs Node.js
Open the AI chat in VS Code in Agent mode
Try it
Use Buzzr Sports Engine and tell me what you can do for me, then show me one thing✓ If VS Code says it is using Buzzr Sports Engine or shows a Buzzr Sports Engine tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
For developers: Terminal commands and JSON settings
Installed on your computer
Claude Code
claude mcp add dfs-engine -- npx -y @buzzr/mcpClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"dfs-engine": {
"command": "npx",
"args": [
"-y",
"@buzzr/mcp"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"dfs-engine": {
"command": "npx",
"args": [
"-y",
"@buzzr/mcp"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"dfs-engine": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@buzzr/mcp"
]
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
At a glance
- Downloads per weeki
- 57/wk
- Connection
- Runs on your computer
- Transport
- stdio
- Latest versioni
- 5.1.0
- Categoryi
- Games, sports, food & learning
- Published to registryi
- Jul 17, 2026
- Code last changedi
- Sep 14, 2026
- Maker
- Buzzr-app
- Packages
npm: @buzzr/mcp- Website
- buzzr-app.github.io
- Registry status
- Active
Which apps can use it
Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Related guides
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 11, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account Buzzr-app, which owns the repo
- ✓ Pass
Still maintained
Code last changed 2 months ago
- ✓ Pass
Has a licence
Uses MIT
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Discussion
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
No posts yet. Be the first to ask or share.
Posts here are written by users, not the PopNx team.
User reviews
No reviews yet
Compared with others in Games, sports, food & learningi
- More stars than 86% of the other 1447 servers in this category
- Published to the registry more recently than 15% of the other 1447 servers in this category
- Basic checks equal to or better than 100% of the other 1447 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Buzzr Sports Engine safe?
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed 2 months ago, and the latest version (5.1.0) reached the registry 4 months ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
What can I use instead?
In the same category: Honcho, ShipSwift, Pm Claude Skills
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
ShipSwift
40+ production-ready SwiftUI recipes for building full-stack iOS apps via MCP.
Pm Claude Skills
1310 professional Agent Skills + workflow recipes — searchable & fetchable over MCP.
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
@buzzr/mcp
MCP server exposing the @buzzr sports engines to AI agents — DFS settlement, odds math, and entertainment predictions as tools.
@buzzr/mcp is a Model Context Protocol stdio server that puts the whole @buzzr engine family in front of any MCP-capable agent (Claude Desktop, Claude Code, or your own client). All math and policy logic lives in the underlying engines — this package is a thin, schema-validated tool surface:
@buzzr/dfs-engine— pick-em settlement with versioned compatibility and custom policies@buzzr/bets-core— no-vig fair lines, parlay pricing, expected value, Kelly staking@buzzr/entertainment-engine— ML buzz-score predictions and personalized game ranking
Install
Run it directly with npx (Node 22+). Pin the version you reviewed instead of silently accepting a future latest release:
npx -y @buzzr/mcp@5.1.0
The server speaks MCP over stdio: JSON-RPC on stdin/stdout, logs on stderr. It exposes 11 tools with bounded inputs and outputs, and does not fetch live odds, box scores, operator accounts, or private user data.
Smithery
The Buzzr Sports Engine listing on Smithery packages the exact published @buzzr/mcp@5.1.0 artifact as a local stdio MCPB. It is a distribution and installation surface, not a hosted HTTP service. To add it to Codex through Smithery:
npx -y smithery@1.2.0 mcp add sarveshsea/buzzr-sports-engine --client codex
Smithery writes the corresponding MCP configuration for the selected client. Use the direct npm command above when you need both the server package and its launcher configuration pinned explicitly.
Claude Desktop
Add this to claude_desktop_config.json from Settings → Developer → Edit Config, then fully quit and reopen Claude Desktop:
{
"mcpServers": { "buzzr": { "command": "npx", "args": ["-y", "@buzzr/mcp@5.1.0"] } } }
Claude Code
claude mcp add --transport stdio buzzr -- npx -y @buzzr/mcp@5.1.0
For a version-controlled project configuration, add this to .mcp.json, trust the project when prompted, and start a new Claude Code session:
{
"mcpServers": { "buzzr": { "command": "npx", "args": ["-y", "@buzzr/mcp@5.1.0"] } } }
Confirm it with claude mcp get buzzr; inside Claude Code, /mcp shows the connection and discovered tool count.
Cursor
Add this to the repository's .cursor/mcp.json (or the equivalent user-level MCP configuration), then fully restart Cursor:
{
"mcpServers": { "buzzr": { "command": "npx", "args": ["-y", "@buzzr/mcp@5.1.0"] } } }
Open Cursor Settings → MCP to confirm buzzr connected and exposed 11 tools. See Cursor's MCP documentation if your installed Cursor version presents a different settings location.
Codex
The Codex CLI, IDE extension, and app share config.toml. The one-command user setup is:
codex mcp add buzzr -- npx -y @buzzr/mcp@5.1.0
Or add the equivalent block to ~/.codex/config.toml for all projects, or to a trusted repository's .codex/config.toml for that project only:
[mcp_servers.buzzr]
command = "npx" args = ["-y", "@buzzr/mcp@5.1.0"]
Run codex mcp get buzzr, then start a new Codex task after changing the configuration.
Generic stdio MCP client
Use this process configuration in any client that accepts a command plus args:
{
"name": "buzzr", "transport": "stdio", "command": "npx", "args": ["-y", "@buzzr/mcp@5.1.0"], "env": {} }
Treat stdout as JSON-RPC only, read diagnostics from stderr, and close the child process's stdin during shutdown. The client must perform the MCP lifecycle below; starting npx in a terminal and seeing it remain open is normal for a stdio server waiting for a client.
Initialization and capability discovery
The client sends initialize first. Verify the serverInfo.name field is "buzzr", the serverInfo.version field is the installed package version, and the response has a capabilities.tools object. Send notifications/initialized, then call tools/list. The server returns the 11 tools in the catalog below with their input schemas. It does not advertise data fetching, resources, or prompts.
examples/mcp-calls.json is a machine-readable JSON-RPC transcript with the initialization expectation, exact tool discovery order, and a safe list_book_policies → validate_dfs_entry → grade_dfs_entry workflow. The repository replays that workflow through a real MCP client in CI.
Startup troubleshooting
- Confirm Node.js 22+ and npm are visible to the same desktop process or shell:
node --version,npm --version, andnpx --version. - Confirm the pinned release exists with
npm view @buzzr/mcp@5.1.0 version, then runnpm cache verify. If npm reports cache corruption, repair npm's cache before retrying;npm cache clean --forceis a last resort because it removes the whole local cache. - GUI apps may inherit a smaller
PATHthan an interactive shell. On macOS or Linux, runcommand -v npx; on Windows, runwhere.exe npx. If the client cannot findnpx, use that absolute path ascommand(normallynpx.cmdon Windows) or launch the client from an environment where Node is onPATH. - Keep logs off stdout. A healthy manual start writes a
listening on stdiodiagnostic to stderr and waits for JSON-RPC input. - After any config, Node, PATH, or package-version change, fully quit and restart Claude Desktop, Claude Code, Cursor, or Codex. Opening only another chat tab may leave the old MCP child process and cached tool catalog in place.
Tool catalog
| Tool | Engine | What it does |
|---|---|---|
grade_dfs_entry | @buzzr/dfs-engine | Settle one transport-bounded 1–12-leg entry; executable built-in policies currently allow at most 6 PrizePicks or 8 Underdog legs. |
grade_dfs_entries | @buzzr/dfs-engine | Settle 1–50 entries, up to 600 total legs, with bounded concurrency and isolated failures. |
validate_dfs_entry | @buzzr/dfs-engine | Return structured engine validation issues for a candidate entry without settling it. |
list_book_policies | @buzzr/dfs-engine | List authoritative executable profile snapshots and metadata-only drafts, including status, verification, sources, and complete play types. |
fair_line | @buzzr/bets-core | Remove vig from both sides of one two-way market. |
closing_line_value | @buzzr/bets-core | Compare placed and closing prices for the same selection. |
parlay_value | @buzzr/bets-core | Price independent parlay legs, compare offered odds, and optionally calculate expected value. |
kelly_stake | @buzzr/bets-core | Calculate full and fractional Kelly stakes from a supplied win probability. |
summarize_bet_history | @buzzr/bets-core | Summarize up to 500 bets with overall and UTC-period rollups, drawdown, and streaks. |
predict_game_buzz | @buzzr/entertainment-engine | Predict one game's 1–10 entertainment score with confidence and factor detail. |
rank_games | @buzzr/entertainment-engine | Rank 1–100 candidate games for a bounded taste profile. |
Tool strings, identifiers, arrays, stdio frames, concurrent calls, and serialized results are bounded. American odds must be within [-100000, -100] or [100, 100000]. grade_dfs_entries, closing_line_value, and summarize_bet_history return string contractVersion: "1".
DFS policy safety
Operator-named policies are independent compatibility profiles, not official rules engines or evidence of affiliation:
- PrizePicks is experimental and partially verified. Standard payout references were reviewed on 2026-07-16 from PrizePicks Payouts and PrizePicks Potential Outcomes, with DNP behavior checked against DNPs, Reboots, and Ties. The compatibility policy treats a 2-pick Power entry with a DNP as a refund when it falls below the two-pick minimum. Other settlement behavior and variable lineup-specific payouts remain incomplete.
- Underdog is experimental and unverified. The Underdog Sports Legal Center is the recorded rules entrypoint; the current compatibility payout and settlement values have not been verified.
Displayed lineup terms are authoritative. Call list_book_policies before grading, inspect verification and sources, and obtain explicit operator rulings for DNPs, reboots, ties, rescues, voids, and corrections. The tool lists future fixtures with executable: false; grading tools reject draft book IDs because drafts are metadata, not settlement implementations.
Error contracts
- Invalid tool arguments return the same bounded
invalid_inputresult through an MCP client transport or a direct exportedtool.handler(...)call. At most eight compact validation issues are included; raw Zod errors are never returned. - Malformed JSON-RPC envelopes remain protocol errors owned by the MCP SDK and are distinct from a valid
tools/callrequest with invalid tool arguments. validate_dfs_entryintentionally accepts a bounded candidate object and returns the engine's structured validation report.- Execution failures return generic
isError: trueresults such astool_execution_failed,entry_settlement_failed,server_busy, orresult_too_large. Internal error details are not public.
Example transcripts
"Did my PrizePicks slip hit?"
User: I had a $10 2-pick power play: LeBron over 25.5 points (he scored 31)
and Curry over 27.5 (he scored 33). What's the payout?
Agent calls
grade_dfs_entry:
`json
{
"entryId": "slip-1",
"bookId": "prizepicks",
"playTypeId": "power",
"stake": 10,
"displayedMultiplier": 3,
"legs": [
{ "legId": "l1", "playerName": "LeBron James", "league": "NBA", "propType": "points", "line": 25.5, "direction": "over", "actual": 31 },
{ "legId": "l2", "playerName": "Stephen Curry", "league": "NBA", "propType": "points", "line": 27.5, "direction": "over", "actual": 33 }
]
}
`
Result:
"status": "won","payout": { "total": 30, "withdrawable": 30, "bonus": 0 }—
both supplied actuals clear their lines and the submitted 3× displayed multiplier
is consistent with the selected compatibility table. Confirm the actual entry
details before tr