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Dice Thrower MCP Server
D

Dice Thrower MCP Server

A dice simulator project based on Bun
Developer toolsArtificial intelligence chatbots#Dice simulation#Bun runtime Local.TypeScript
2 points
7.0K
Open Site

Overview

Tools List

Content Details

Alternatives

What is the MCP server?

The MCP server is a service designed for model developers and enterprises. It allows users to manage model context data through a simple interface, making the model more intelligent and efficient when handling complex tasks.

How to use the MCP server?

First, install the dependencies, and then run the server script to start using it. The MCP server supports multiple programming languages and provides a rich set of APIs to meet different needs.

Applicable scenarios

The MCP server is very suitable for application scenarios that require frequent updates of the model state, such as chatbots, recommendation systems, and voice assistants.

Main features

Context management
Supports real-time update and storage of historical conversation records required by the model.
Multi - language support
Built - in support for multiple mainstream programming languages, facilitating integration into existing projects.
High - performance processing
Adopts advanced algorithms to optimize data processing speed and ensure low - latency response.
Advantages
Easy to deploy and use
Powerful API interfaces suitable for various development needs
Limitations
Higher hardware configuration may be required for very large datasets
Some advanced features require an additional paid subscription

How to use

Install dependencies
Run the following command in the project root directory to install all necessary dependencies.
Start the server
Execute this command to start an MCP server instance.

Usage cases

Chatbot context management
Use the MCP server to maintain the chatbot's conversation history.
Personalized settings for recommendation systems
Dynamically adjust user preference settings through the MCP server.

Frequently Asked Questions

How to check if the MCP server is installed correctly?
What should I do if I encounter performance bottlenecks?

Related resources

Official documentation
Detailed user manuals and technical documents.
GitHub code repository
Public address for source code and example projects.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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