Dice Roller▌
by lpbayliss
Try our online dice roller for cryptographically secure virtual dice, supporting standard and Fate dice for all your tab
Provides cryptographically secure dice rolling with standard notation and Fate/Fudge dice support for tabletop RPGs and games requiring reliable random number generation.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Tabletop RPG players and game masters
- / Game developers needing reliable random generation
- / Digital dice rolling for remote gaming sessions
capabilities
- / Parse standard dice notation (2d6+4, 1d20, etc.)
- / Roll standard dice with modifiers
- / Roll Fate/Fudge dice (4dF)
- / Generate cryptographically secure random numbers
- / Validate dice notation inputs
what it does
Provides cryptographically secure dice rolling with standard notation support for tabletop RPGs and games. Parses notation like '2d6+4' and generates random rolls with accurate probability distributions.
about
Dice Roller is a community-built MCP server published by lpbayliss that provides AI assistants with tools and capabilities via the Model Context Protocol. Try our online dice roller for cryptographically secure virtual dice, supporting standard and Fate dice for all your tab It is categorized under other. This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install Dice Roller in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Dice Roller is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
server-dice-roll
A Model Context Protocol (MCP) server for simulating dice rolls with support for standard dice notation and Fate/Fudge dice.
Features
- Dice Notation Parsing: Parse standard dice notation strings like
2d6,1d20+5, or4dF - Multiple Dice Types: Support for both standard dice and Fate/Fudge dice
- Random Rolling: Generate truly random dice rolls with accurate probability distributions
- Validation: Full input and output validation using Zod schemas
- MCP Integration: Seamlessly integrates with any MCP-compatible client like Claude Desktop
Usage
This MCP server provides two main tools:
1. Parse Dice Notation
Parses a dice notation string and returns the structured representation.
parse_dice_roll_notation
input: { notation: "3d6+4" }
output: { type: "standard", count: 3, sides: 6, modifier: 4 }
2. Roll Dice
Rolls dice based on a dice roll configuration and returns the results.
dice_roll
input: { type: "standard", count: 3, sides: 6, modifier: 4 }
output: { rolls: [5, 2, 6], total: 17, original: "3d6+4" }
Installation and Setup
Using with Claude Desktop
Add this server to your Claude Desktop configuration:
{
"mcpServers": {
"dice": {
"command": "npx",
"args": ["-y", "server-dice-roll"]
}
}
}
Using with npm/npx
# Install globally
npm install -g server-dice-roll
# Run the server
mcp-server-dice-roll
# Or run directly with npx
npx server-dice-roll
Understanding Dice Notation
Dice notation is a system used in tabletop role-playing games to represent different dice rolls.
Standard Notation
The standard format is NdS+M where:
Nis the number of dice to roll (optional, defaults to 1)dindicates a die rollSis the number of sides on each die+Mis a modifier to add to the total (optional)
Examples:
d6- Roll one 6-sided die2d10- Roll two 10-sided dice and sum the results3d8+5- Roll three 8-sided dice, sum the results, and add 5
Fate/Fudge Dice
Fate dice (also known as Fudge dice) are special 6-sided dice with values of -1, 0, and +1 (two sides each).
Format: NdF where:
Nis the number of dice to rolldFindicates Fate dice
Example:
4dF- Roll four Fate dice (results in values between -4 and +4)
License
This project is licensed under the MIT License - see the LICENSE.md file for details.
Author
Created by Luke Bayliss [email protected]
Release Process
This project uses a single integrated workflow for versioning, releases, and publishing:
-
Version Bump Labels: Each PR to the main branch should include exactly one version bump label:
patch- For backwards-compatible bug fixesminor- For backwards-compatible new featuresmajor- For breaking changes- If no label is specified,
patchis applied by default
-
Sequential Workflow: The integrated Release and Publish workflow consists of three sequential jobs:
- Job 1: Version Bump - Updates version in package.json and creates a git tag
- Job 2: Release Creation - Creates a GitHub release with changelog
- Job 3: Publish - Publishes the package to npm
-
Automated Triggers: The workflow runs automatically in these scenarios:
- When a PR is merged to main (using the PR's version label)
- When changes are pushed directly to main (using patch version)
- When manually triggered via GitHub Actions
- When a tag is manually pushed (skips version bump, only creates release and publishes)
All these steps run in a coordinated workflow with proper dependencies to ensure reliability.
PR Requirements
All PRs should include exactly one version bump label (patch, minor, or major). If no label is specified, the system will automatically add the patch label as the default. PRs with multiple version labels will still be blocked from merging.
Manual Versioning
To manually trigger a version bump without creating a PR:
- Go to Actions > Version Bump workflow
- Click "Run workflow"
- Select the branch and bump type (patch, minor, major)
- Click "Run workflow"
The rest of the process (creating release and publishing) will happen automatically.
FAQ
- What is the Dice Roller MCP server?
- Dice Roller is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Dice Roller?
- This profile displays 46 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.8★★★★★46 reviews- ★★★★★Arjun Sharma· Dec 24, 2024
Dice Roller reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Chaitanya Patil· Dec 20, 2024
We evaluated Dice Roller against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Kofi Kapoor· Dec 12, 2024
I recommend Dice Roller for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Tariq Flores· Dec 8, 2024
We evaluated Dice Roller against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Naina Zhang· Nov 27, 2024
Useful MCP listing: Dice Roller is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Arjun Johnson· Nov 15, 2024
Dice Roller is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Nov 11, 2024
Useful MCP listing: Dice Roller is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Meera Anderson· Nov 3, 2024
According to our notes, Dice Roller benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Meera Reddy· Oct 22, 2024
Dice Roller has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Naina Jain· Oct 18, 2024
Dice Roller reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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