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Buzzr Sports Engine

by Buzzr-appversion 5.1.0i★ –iRuns on your computer
Registry nameio.github.Buzzr-app/dfs-engine

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

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: Marketing & social media

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "dfs-engine": {
      "command": "npx",
      "args": [
        "-y",
        "@buzzr/mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add dfs-engine -- npx -y @buzzr/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "dfs-engine": {
      "command": "npx",
      "args": [
        "-y",
        "@buzzr/mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "dfs-engine": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@buzzr/mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account Buzzr-app, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – 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

Compared with others in Marketing & social mediai

  • More stars than 0% of the other 2954 servers in this category
  • Published to the registry more recently than 18% of the other 2954 servers in this category
  • Basic checks equal to or better than 100% of the other 2954 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 1 of 1 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 –, 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: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

Alternatives

Servers in the same category from other makers, sorted by stars.

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Runs on your computer★ 495MITUpdated 9 days ago
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Runs on your computer★ 244MITUpdated 9 days ago
Install

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:

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

  1. Confirm Node.js 22+ and npm are visible to the same desktop process or shell: node --version, npm --version, and npx --version.
  2. Confirm the pinned release exists with npm view @buzzr/mcp@5.1.0 version, then run npm cache verify. If npm reports cache corruption, repair npm's cache before retrying; npm cache clean --force is a last resort because it removes the whole local cache.
  3. GUI apps may inherit a smaller PATH than an interactive shell. On macOS or Linux, run command -v npx; on Windows, run where.exe npx. If the client cannot find npx, use that absolute path as command (normally npx.cmd on Windows) or launch the client from an environment where Node is on PATH.
  4. Keep logs off stdout. A healthy manual start writes a listening on stdio diagnostic to stderr and waits for JSON-RPC input.
  5. 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

ToolEngineWhat it does
grade_dfs_entry@buzzr/dfs-engineSettle 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-engineSettle 1–50 entries, up to 600 total legs, with bounded concurrency and isolated failures.
validate_dfs_entry@buzzr/dfs-engineReturn structured engine validation issues for a candidate entry without settling it.
list_book_policies@buzzr/dfs-engineList authoritative executable profile snapshots and metadata-only drafts, including status, verification, sources, and complete play types.
fair_line@buzzr/bets-coreRemove vig from both sides of one two-way market.
closing_line_value@buzzr/bets-coreCompare placed and closing prices for the same selection.
parlay_value@buzzr/bets-corePrice independent parlay legs, compare offered odds, and optionally calculate expected value.
kelly_stake@buzzr/bets-coreCalculate full and fractional Kelly stakes from a supplied win probability.
summarize_bet_history@buzzr/bets-coreSummarize up to 500 bets with overall and UTC-period rollups, drawdown, and streaks.
predict_game_buzz@buzzr/entertainment-enginePredict one game's 1–10 entertainment score with confidence and factor detail.
rank_games@buzzr/entertainment-engineRank 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_input result through an MCP client transport or a direct exported tool.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/call request with invalid tool arguments.
  • validate_dfs_entry intentionally accepts a bounded candidate object and returns the engine's structured validation report.
  • Execution failures return generic isError: true results such as tool_execution_failed, entry_settlement_failed, server_busy, or result_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

Only the beginning is shown; read the rest in the repo

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