mcp-server-chart vs KoikatuMCP
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | KoikatuMCP by great-majority | |
|---|---|---|
| Stars | ★ 4,068 | ★ 4 |
| 30d uses | 10,239 | — |
| Score | 84 | 33 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | AI / LLM ToolsMediaOther |
| Language | TypeScript | C# |
| Last commit | this month | 10 mo ago |
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
KoikatuMCP · Summary
MCP server that allows AI assistants to control Koikatu Studio through natural language commands.
mcp-server-chart · Use cases
- Data analysts creating visual reports from datasets
- AI assistants generating custom charts based on user requests
- Web applications embedding visualization capabilities via HTTP API
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
mcp-server-chart · Install
Installation
Install globally:
npm install -g @antv/mcp-server-chartFor Desktop Apps (e.g., Claude Desktop, VSCode):
{
"mcpServers": {
"mcp-server-chart": {
"command": "npx",
"args": ["-y", "@antv/mcp-server-chart"]
}
}
}For Windows:
{
"mcpServers": {
"mcp-server-chart": {
"command": "cmd",
"args": ["/c", "npx", "-y", "@antv/mcp-server-chart"]
}
}
}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.