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mcp-server-chart vs metorial-platform

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

mcp-server-chart
by antvis
metorial-platform
by metorial
Stars★ 4,068★ 207
30d uses10,239
Score8449
Official
Categories
AI / LLM ToolsDeveloper ToolsProductivity
Developer ToolsAI / LLM ToolsOps & Infra
LanguageTypeScriptTypeScript
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.

metorial-platform · Summary

Metorial is an enterprise-grade MCP platform that connects AI models to thousands of APIs and tools with one-liner SDKs.

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

metorial-platform · Use cases

  • Building enterprise-grade AI applications that need to connect to multiple data sources and APIs
  • Developers who want to simplify MCP integration in their AI projects without dealing with server configurations
  • Teams requiring monitoring and debugging capabilities for their AI integrations across thousands of MCP servers

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"]
    }
  }
}

metorial-platform · Install

Installation

SDK Installation

Install the SDK for your preferred language:

# For JavaScript/TypeScript
npm install @metorial/node

# For Python
pip install metorial

Self-Hosting

  1. Clone the repository:

``bash git clone https://github.com/metorial/metorial-platform.git cd metorial-platform ``

  1. Set up environment variables in .env file
  1. Run with Docker:

``bash docker-compose up -d ``

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