ultimate_mcp_server vs mcp-echarts

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

	ultimate_mcp_server by Dicklesworthstone	mcp-echarts by hustcc
Stars	★ 149	★ 228
30d uses	—	—
Score	85	48
Official	—	—
Categories	AI / LLM ToolsBrowser AutomationFile System	AI / LLM ToolsDeveloper Toolsdata-visualization
Language	Python	TypeScript
Last commit	2 mo ago	4 mo ago

ultimate_mcp_server · Summary

Comprehensive MCP server providing dozens of capabilities for AI agents including LLM delegation, browser automation, document processing, and cognitive memory systems.

mcp-echarts · Summary

MCP ECharts enables dynamic chart generation using ECharts through the Model Context Protocol.

ultimate_mcp_server · Use cases

Complex document processing and analysis with OCR and structured data extraction
Web automation and research across multiple sites with browser control
Cost-optimized AI workflows through intelligent task delegation between models

mcp-echarts · Use cases

Generate visual data representations for AI analysis and reporting
Create charts and graphs from data processed by AI models
Share generated charts via URLs using cloud storage integration

ultimate_mcp_server · Install

Installation

Clone the repository:

git clone https://github.com/Dicklesworthstone/ultimate_mcp_server.git
cd ultimate_mcp_server

Install dependencies:

pip install -e .

For Claude Desktop integration, add to your claude_desktop_config.json:

{
  "mcpServers": {
    "ultimate-mcp": {
      "command": "python",
      "args": ["-m", "ultimate_mcp_server"],
      "env": {
        "PYTHONPATH": "."
      }
    }
  }
}

Run the server:

python -m ultimate_mcp_server

mcp-echarts · Install

Installation

Prerequisites

Node.js 18 or higher

Desktop Applications (stdio transport)

Add the MCP server config to your desktop application:

{
  "mcpServers": {
    "mcp-echarts": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-echarts"
      ]
    }
  }
}

Running with SSE or Streamable transport

Install globally:

npm install -g mcp-echarts

Run with SSE transport (default):

mcp-echarts -t sse

Or with Streamable transport:

mcp-echarts -t streamable

Access at:

SSE: http://localhost:3033/sse
Streamable: http://localhost:3033/mcp

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