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mcp-server-chart vs scholar-search-mcp

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

mcp-server-chart
by antvis
scholar-search-mcp
by Silung
Stars★ 4,068★ 180
30d uses10,239
Score8450
Official
Categories
AI / LLM ToolsDeveloper ToolsProductivity
AI / LLM ToolsDeveloper 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.

scholar-search-mcp · Summary

MCP server for academic paper search integrating Semantic Scholar and arXiv with practical research tools.

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

scholar-search-mcp · Use cases

  • Assisting researchers in survey paper writing with comprehensive literature search
  • Enabling AI assistants to retrieve academic paper metadata and citations
  • Supporting academic workflows by providing unified access to multiple scholarly databases

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"]
    }
  }
}

scholar-search-mcp · Install

Installation

pip install scholar-search-mcp

Quick Setup (Claude Desktop / Cursor)

Add this configuration to your MCP settings:

{
  "mcpServers": {
    "scholar-search": {
      "command": "python",
      "args": ["-m", "scholar_search_mcp"],
      "env": {
        "SCHOLAR_SEARCH_ENABLE_SEMANTIC_SCHOLAR": "true",
        "SCHOLAR_SEARCH_ENABLE_ARXIV": "true"
      }
    }
  }
}

For higher rate limits, add your Semantic Scholar API key:

{
  "mcpServers": {
    "scholar-search": {
      "command": "python",
      "args": ["-m", "scholar_search_mcp"],
      "env": {
        "SCHOLAR_SEARCH_ENABLE_SEMANTIC_SCHOLAR": "true",
        "SCHOLAR_SEARCH_ENABLE_ARXIV": "true",
        "SEMANTIC_SCHOLAR_API_KEY": "your-key"
      }
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.