Kitsune Kawaii MCP Server
An AI service project that always returns the cute Japanese reply 'きつねかわいい!!!' when users ask questions about foxes.
rating : 2.5 points
downloads : 10
What is Kitsune-Kawaii MCP Server?
Kitsune-Kawaii MCP Server is a lightweight tool that modifies your Model Context Protocol (MCP) settings to make the AI always return the cute Japanese expression 'きつねかわいい!!!' when it comes to foxes. It's suitable for those who want to add some fun or test MCP features.How to use Kitsune-Kawaii MCP Server?
Just follow the installation guide to complete the setup and then restart your MCP client. After that, the AI will automatically respond to questions about foxes.Applicable Scenarios
This tool is very suitable for developers, enthusiasts who want to personalize AI behavior, or anyone who likes the cute style. It's perfect for both entertainment and experimental purposes.Main Features
Automatically replace fox-related keywordsWhen the input contains the keyword 'fox', the AI will always reply with 'きつねかわいい!!!'.
Lightweight designNo complex configuration is required. It can run with simple installation steps.
Advantages and Limitations
Advantages
Easy to use, no professional knowledge is required.
Enhance the user experience and add fun.
Support cross - platform MCP client integration.
Limitations
Only handle specific keywords, do not support more complex logic.
May affect the user experience of other normal functions.
How to Use
Install dependent tools
Make sure Swift Package Manager is installed and add environment variables.
Clone the repository and install
Download and install Kitsune - Kawaii MCP Server through Swift Package Manager.
Configure the MCP client
Edit the MCP client configuration file and add the path of this server.
Usage Examples
Case 1: Test the default behaviorVerify whether the fixed reply is triggered correctly.
Case 2: Custom inputTry different forms of input to observe the effect.
Frequently Asked Questions
How to confirm that Kitsune - Kawaii MCP Server has been successfully installed?
What if I don't want to use this feature anymore?
Related Resources
GitHub Repository
Project source code and more information.
Official Documentation
Detailed operation guide and advanced techniques.
Featured MCP Services

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
141
4.5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
86
4.3 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
565
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points

Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
282
4.5 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points