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mcp-server-chart vs nocturne_memory

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

mcp-server-chart
by antvis
nocturne_memory
by Dataojitori
Stars★ 4,068★ 1,080
30d uses10,239
Score8455
Official
Categories
AI / LLM ToolsDeveloper ToolsProductivity
AI / LLM ToolsKnowledge GraphDeveloper Tools
LanguageTypeScriptPython
Last committhis monththis month

mcp-server-chart · Summary

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

nocturne_memory · Summary

A long-term memory server for MCP agents that enables persistent, cross-session identity and context.

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

nocturne_memory · Use cases

  • Enable AI agents to maintain consistent identity and context across multiple LLM platforms
  • Provide AI with long-term personal memory for better relationship-building with users
  • Allow AI to autonomously organize and retrieve complex information structures across sessions

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"]
    }
  }
}

nocturne_memory · Install

Installation

Prerequisites

  • Python 3.10+
  • Node.js (for building the dashboard frontend)

Step 1: Clone & Install Dependencies

git clone https://github.com/Dataojitori/nocturne_memory.git
cd nocturne_memory
pip install -r backend/requirements.txt

Step 2: Connect to Your AI Client

Add to your AI client's MCP configuration (replace with your actual path):

{
  "mcpServers": {
    "nocturne_memory": {
      "command": "python",
      "args": ["/path/to/nocturne_memory/backend/mcp_server.py"]
    }
  }
}

For Claude Desktop

{
  "mcpServers": {
    "nocturne-memory": {
      "command": "python",
      "args": ["/path/to/nocturne_memory/backend/mcp_server.py"]
    }
  }
}

For Antigravity (Windows)

Due to CRLF/LF issues on Windows, use the wrapper:

{
  "mcpServers": {
    "nocturne_memory": {
      "command": "python",
      "args": ["/path/to/nocturne_memory/backend/mcp_wrapper.py"]
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.