KoikatuMCP vs memory
Side-by-side comparison to help you pick between these two MCP servers.
KoikatuMCP by great-majority | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 4 | ★ 85,748 |
| 30d uses | — | — |
| Score | 33 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsMediaOther | Knowledge GraphAI / LLM ToolsProductivity |
| Language | C# | TypeScript |
| Last commit | 10 mo ago | this month |
KoikatuMCP · Summary
MCP server that allows AI assistants to control Koikatu Studio through natural language commands.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
KoikatuMCP · Use cases
- Automating scene setup in Koikatu Studio through AI commands
- Creating interactive experiences with AI-controlled character manipulation
- Generating complex character scenes via natural language prompts
memory · Use cases
- Personalizing AI assistant interactions by remembering user preferences, history, and relationships
- Building context-aware chat applications that maintain conversation history
- Creating knowledge bases that persist across AI model sessions
KoikatuMCP · Install
Installation
- Install KKStudioSocket Plugin
- Follow the [KKStudioSocket installation guide](https://github.com/great-majority/KKStudioSocket?tab=readme-ov-file#-installation) to set up the WebSocket plugin
- Download KoikatuMCP
- Download the latest release from [Releases](https://github.com/great-majority/KoikatuMCP/releases) - Extract the ZIP file to any location - Contains KoikatuMCP.exe (single executable file)
- Configure with Claude Desktop
- Add to your claude_desktop_config.json: ``json { "mcpServers": { "koikatu-mcp": { "command": "C:\\path\\to\\KoikatuMCP.exe", "env": { "KKSTUDIOSOCKET_URL": "ws://127.0.0.1:8765/ws" } } } } ``
- Start Koikatsu Studio with KKStudioSocket active, then start Claude Desktop to begin using.
memory · Install
Installation
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}VS Code
Use one-click installation buttons or manually configure in .vscode/mcp.json:
{
"servers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}Docker
{
"mcpServers": {
"memory": {
"command": "docker",
"args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
}
}
}