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mcp-server-chart vs memcp

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

mcp-server-chart
by antvis
memcp
by maydali28
Stars★ 4,068★ 18
30d uses10,239
Score8445
Official
Categories
AI / LLM ToolsDeveloper ToolsProductivity
AI / LLM ToolsKnowledge GraphDeveloper Tools
LanguageTypeScriptPython
Last committhis month1 mo ago

mcp-server-chart · Summary

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

memcp · Summary

A persistent memory MCP server for Claude Code that implements the Recursive Language Model framework to store knowledge across sessions.

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

memcp · Use cases

  • Long-term project development where knowledge needs to persist across sessions
  • Complex analysis of large documents that exceed context window limits
  • Multi-session workflows requiring retention of decisions, findings, and preferences

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"]
    }
  }
}

memcp · Install

Install MemCP using pip:

pip install memcp

For interactive installation:

bash scripts/install.sh

To use with Claude Code, register the MCP server in your Claude Desktop configuration:

{
  "mcpServers": {
    "memcp": {
      "command": "python",
      "args": ["-m", "memcp.server"],
      "env": {}
    }
  }
}

Optional dependencies for enhanced capabilities:

pip install memcp[ner]  # For spaCy NER
pip install memcp[vector]  # For semantic search with embeddings
Comparison generated from public README + GitHub signals. Last updated automatically.