KoikatuMCP vs fetch
Side-by-side comparison to help you pick between these two MCP servers.
KoikatuMCP by great-majority | fetch by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 4 | ★ 85,748 |
| 30d uses | — | — |
| Score | 33 | 76 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsMediaOther | Web ScrapingAI / 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.
fetch · Summary
An MCP server that fetches web content and converts HTML to markdown, allowing LLMs to read web pages.
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
fetch · Use cases
- LLMs reading news articles and blogs
- Content analysis of web pages
- Retrieving information from public websites
- Chunked reading of large web documents
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.
fetch · Install
Installation
**Using uv (recommended)** No specific installation needed. Use uvx to run the server directly:
uvx mcp-server-fetch**Using PIP** Install via pip:
pip install mcp-server-fetchThen run as:
python -m mcp_server_fetchClaude Desktop Configuration
{
"mcpServers": {
"fetch": {
"command": "uvx",
"args": ["mcp-server-fetch"]
}
}
}