RPG MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@RPG MCP ServerRoll 2d6 for damage."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
RPG MCP Server
A simple MCP (Model Context Protocol) server for playing RPGs with Large Language Models. It provides tools for dice rolling, success checks, and random event generation.
Features
check_success(probability, critical_rate)- Determines success/failure with optional critical resultsroll_dice(expr)- Rolls dice using standard RPG notation (e.g., '1d6', '2d8+3')generate_event()- Generates random RPG events for plot twists and surpriseslist_tools()- Lists all available tools
Installation
Prerequisites
Python 3
uv - A fast Python package installer
Setup
Clone the repository:
git clone https://github.com/jnaskali/rpg-mcp.git
cd rpg-mcpInstall dependencies with uv:
uv syncConfiguration
Add the following to your MCP client's configuration file (e.g., mcp.json in Claude Desktop or other MCP-compatible clients):
{
"mcpServers": {
"rpg-mcp": {
"command": "/usr/bin/uv",
"args": [
"run",
"python",
"app.py"
],
"cwd": "/PATH_TO/rpg-mcp/"
}
}
}Replace /PATH_TO/rpg-mcp/ with the actual path to your rpg-mcp directory.
Usage
Once configured, the LLM can call the tools to:
Roll dice for attacks, damage, or skill checks
Determine action outcomes with customizable success probabilities
Generate random events to drive the narrative forward
Example Prompt
Include instructions in your prompt like:
"Call check_success whenever a player character attempts something with a chance of failure, and generate_event to generate a random event at the start of a new scene or when moving to a new location."
The event generation system is inspired by Mythic Game Master Emulator.
Tool calling works best with models that support function calling, such as Claude, GPT-4, Mistral, Llama, or Qwen.
Examples
Test the server by asking the LLM to generate a random event. The unique format should make it clear whether the tool is working or if the LLM is hallucinating results.
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