mcp-server-chart vs mcp-memory-service

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

	mcp-server-chart by antvis	mcp-memory-service by doobidoo
Stars	★ 4,068	★ 1,848
30d uses	10,239	—
Score	84	56
Official	—	—
Categories	AI / LLM ToolsDeveloper ToolsProductivity	AI / LLM ToolsKnowledge GraphDeveloper Tools
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.

mcp-memory-service · Summary

Persistent memory service for AI agents with REST API, MCP, OAuth, and knowledge graph functionality.

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

mcp-memory-service · Use cases

Persistent memory for AI agents across conversation sessions
Multi-agent systems with shared knowledge and inter-agent messaging
Self-hosted alternative to commercial memory APIs with privacy control
Remote memory service for claude.ai browser integration

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"]
    }
  }
}

mcp-memory-service · Install

# Basic installation
pip install mcp-memory-service

# Start the server
MCP_ALLOW_ANONYMOUS_ACCESS=true memory server --http

For Claude Desktop integration, add to claude_desktop_config.json:

{
  "mcpServers": {
    "mcp-memory": {
      "command": "python",
      "args": ["-m", "mcp_memory_service.server"],
      "env": {
        "MCP_ALLOW_ANONYMOUS_ACCESS": "true",
        "MCP_STREAMABLE_HTTP_MODE": "1"
      }
    }
  }
}

For remote MCP with claude.ai browser:

MCP_STREAMABLE_HTTP_MODE=1 MCP_SSE_HOST=0.0.0.0 MCP_SSE_PORT=8765 python -m mcp_memory_service.server

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