Dice Roller
dice-roller — tabletop dice, coin flips and exact dice odds on the Pipeworx chance engine…
Que pouvez-vous faire avec Dice Roller ?
roll_dice(notation, times?, seed?)— rolls the notation and returns every die, which dice were kept, per-term subtotals, the total and a readable breakdown.times(up to 100) repeats the roll and adds min/max/mean across repeats. Answers "roll 4d6 drop ...flip_coins(count?, seed?)— flips up to 1,000 fair coins; returns the H/T sequence, heads and tails counts and the longest run.dice_odds(notation, target?, comparison?, seed?)— min, max, mean, standard deviation, mode, median and the probability of every total; withtarget, the chance the total is>=(default),>,<=,<or==it. Exact by enumeration for plain sums a...
Installation
Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).
claude mcp add --transport http dice-roller 'https://gateway.pipeworx.io/dice-roller/mcp'
{
"mcpServers": {
"dice-roller": {
"type": "http",
"url": "https://gateway.pipeworx.io/dice-roller/mcp"
}
}
}
Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
Sommaire
@pipeworx/dice-roller
Tabletop dice, coin flips and exact dice odds with real, reproducible randomness: roll any standard dice notation (2d6+3, 4d6kh3, 2d20kl1, 3d6!, 4dF, d%), flip up to 1,000 coins, or get the full probability distribution of a roll.
Part of Pipeworx — an MCP gateway connecting AI agents to 1866+ live data sources. This is an independent, unofficial integration — not affiliated with, endorsed by, or published by the upstream provider.
Tools
roll_dice(notation, times?, seed?)— rolls the notation and returns every die, which dice were kept, per-term subtotals, the total and a readable breakdown.times(up to 100) repeats the roll and adds min/max/mean across repeats. Answers "roll 4d6 drop the lowest", "roll with advantage", "roll 2d6+3 six times".flip_coins(count?, seed?)— flips up to 1,000 fair coins; returns the H/T sequence, heads and tails counts and the longest run.dice_odds(notation, target?, comparison?, seed?)— min, max, mean, standard deviation, mode, median and the probability of every total; withtarget, the chance the total is>=(default),>,<=,<or==it. Exact by enumeration for plain sums and for keep/drop pools up to 1,000,000 outcomes; otherwise (and always for exploding dice) a Monte Carlo estimate labelledmethod: "monte_carlo"with its sample count. Answers "what are the odds of 15+ on 3d6", "how much does advantage help against DC 15".
Every response carries seed and a meta envelope (seed, procedure, deck, source). Omit seed for a fresh random result; pass the returned seed back with the same arguments to reproduce it exactly. Results are random outcomes, not advice; the calling agent decides what they mean.
Notation
NdS terms joined by + or -, with whole-number constants (1d20+5, 2d6+1d4-1). N defaults to 1. S is a number, % (= 100) or F (fudge/Fate: -1, 0, +1). Modifiers go after the die, in this order: ! (exploding: a max face rolls another die), then kh/kl/dh/dl with an optional count (keep highest, keep lowest, drop highest, drop lowest; k alone means kh1). Limits: 1,000 dice per notation, 10,000 sides per die, 100 extra dice per exploding chain. Anything malformed or over a limit is refused with the reason and the grammar.
Auth
Keyless. No upstream, no outbound calls.
Data sources
- Pipeworx dice engine v1 (the shared chance engine in this repo): an sfc32 pseudo-random generator seeded from a cyrb128 hash of the seed string. A call without a seed takes a 128-bit seed from the platform's cryptographic random source and returns it. Dice faces are drawn by rejection sampling, so no face is favoured at any die size.
The generated sequence for a given seed is pinned by a unit test. If a change to the engine re-deals seeded results, that test goes red, because people may have cited them.
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"dice-roller": {
"url": "https://gateway.pipeworx.io/dice-roller/mcp"
}
}
}
What this endpoint actually serves
tools/list at https://gateway.pipeworx.io/dice-roller/mcp returns the tools in the table
above plus the shared Pipeworx meta-tools — ask_pipeworx,
discover_tools, search_within, remember/recall and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's initialize response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
ask_pipeworx, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
Both URLs reach the same gateway and the same 1866+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
No MCP client? Call it over HTTP
curl -X POST https://gateway.pipeworx.io/v1/tools/roll_dice \
-H 'Content-Type: application/json' \
-d '{"notation":"4d6kh3","times":6}'
No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/roll_dice. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.
Standalone (no gateway account)
This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:
{
"mcpServers": {
"dice-roller": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-dice-roller"]
}
}
}
Or run it directly to confirm it starts:
npx -y @pipeworx/mcp-dice-roller
It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call
for only this pack's tools — none of the shared meta-tools the gateway
connection above adds. Same source, same tools, no ask_pipeworx routing.
Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:
ask_pipeworx({ question: "your question about Dice Roller data" })
The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
Questions fréquentes
Qu'est-ce que Dice Roller ?
dice-roller — tabletop dice, coin flips and exact dice odds on the Pipeworx chance engine…
Comment installer Dice Roller ?
Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http dice-roller 'https://gateway.pipeworx.io/dice-roller/mcp'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.
Faut-il une clé API pour Dice Roller ?
Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.
Dice Roller est-il open source ?
Oui. Son code est sur GitHub sous licence MIT.
Qui maintient Dice Roller ?
Il est publié par pipeworx-io. AI.tn le référence sans le maintenir ni le recommander.
Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.