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mcp-server-chart vs orionbelt-analytics

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

mcp-server-chart
by antvis
orionbelt-analytics
by ralfbecher
Stars★ 4,068★ 29
30d uses10,239
Score8445
Official
Categories
AI / LLM ToolsDeveloper ToolsProductivity
DatabaseDeveloper ToolsKnowledge Graph
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.

orionbelt-analytics · Summary

Ontology-based MCP server analyzing database schemas and generating RDF/OWL ontologies with SQL mappings for Text-to-SQL.

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

orionbelt-analytics · Use cases

  • Enterprise data analysis with natural language queries across multiple database systems
  • Schema analysis and ontology generation for knowledge graph applications
  • Automated SQL validation with fan-trap prevention to ensure query correctness

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"]
    }
  }
}

orionbelt-analytics · Install

Installation

git clone https://github.com/ralfbecher/orionbelt-analytics
cd orionbelt-analytics
uv sync

Configure environment variables:

cp .env.template .env

Run the server:

uv run server.py

For Claude Desktop, add to your claude_desktop_config.json:

{
  "mcpServers": {
    "OrionBelt-Analytics": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "http://localhost:9000/mcp",
        "--transport",
        "http-only"
      ]
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.