mcp-server-chart vs notebooklm-mcp

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

	mcp-server-chart by antvis	notebooklm-mcp by roomi-fields
Stars	★ 4,068	★ 76
30d uses	10,239	—
Score	84	48
Official	—	—
Categories	AI / LLM ToolsDeveloper ToolsProductivity	AI / LLM ToolsDeveloper ToolsProductivity
Language	TypeScript	TypeScript
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.

notebooklm-mcp · Summary

Google NotebookLM MCP server with HTTP API for Q&A, content generation, and multi-account rotation.

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

notebooklm-mcp · Use cases

Automating research workflows with citation-backed answers from multiple sources
Generating diverse content formats (audio, video, reports) from notebooks
Integrating NotebookLM into automation pipelines via HTTP REST API

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"]
    }
  }
}

notebooklm-mcp · Install

Option 1 — Claude Code Marketplace (Recommended)

/plugin marketplace add roomi-fields/claude-plugins
/plugin install notebooklm@roomi-fields

Option 2 — Manual MCP Setup

git clone https://github.com/roomi-fields/notebooklm-mcp.git
cd notebooklm-mcp
npm install && npm run build
claude mcp add notebooklm node /path/to/notebooklm-mcp/dist/index.js

Option 3 — HTTP REST API

npm install && npm run build
npm run setup-auth  # One-time Google login
npm run start:http  # Start REST API on port 3000

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