mcp-server-chart vs superlocalmemory

Side-by-side comparison to help you pick between these two MCP servers.

	mcp-server-chart by antvis	superlocalmemory by qualixar
Stars	★ 4,068	★ 150
30d uses	10,239	—
Score	84	50
Official	—	—
Categories	AI / LLM ToolsDeveloper ToolsProductivity	AI / LLM ToolsDeveloper ToolsProductivity
Language	TypeScript	Python
Last commit	this month	this month

mcp-server-chart · Summary

A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.

superlocalmemory · Summary

A local-only AI memory system with MCP integration for unlimited memory across AI clients.

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

superlocalmemory · Use cases

Enhancing AI coding assistants like Claude Code, Cursor, and Windsurf with persistent memory across sessions
Building private, on-device AI agents with unlimited memory that never send data to cloud services
Creating research applications requiring GDPR/EU AI Act compliance with no external data transmission

mcp-server-chart · Install

Installation

Install globally:

npm install -g @antv/mcp-server-chart

For 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"]
    }
  }
}

superlocalmemory · Install

Install via npm (recommended)

npm install -g superlocalmemory
slm setup     # Choose mode (A/B/C)
slm doctor    # Verify everything is working
slm warmup    # Pre-download embedding model (~500MB, optional)

Install via pip

pip install superlocalmemory

MCP Integration (Claude, Cursor, Windsurf, VS Code, etc.)

{
  "mcpServers": {
    "superlocalmemory": {
      "command": "slm",
      "args": ["mcp"]
    }
  }
}

Comparison generated from public README + GitHub signals. Last updated automatically.