ultimate_mcp_server vs sec-edgar-mcp

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

	ultimate_mcp_server by Dicklesworthstone	sec-edgar-mcp by stefanoamorelli
Stars	★ 149	★ 266
30d uses	—	—
Score	85	51
Official	—	—
Categories	AI / LLM ToolsBrowser AutomationFile System	FinanceAI / LLM ToolsDeveloper Tools
Language	Python	Python
Last commit	2 mo ago	this month

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.

sec-edgar-mcp · Summary

MCP server providing AI assistants with precise access to SEC EDGAR financial filings and company data.

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

sec-edgar-mcp · Use cases

Financial analysis and research using parsed SEC data
Compliance monitoring through automated filing analysis
Investment decision support with accurate company financials

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

sec-edgar-mcp · Install

Installation

Docker (Recommended)

{
  "mcpServers": {
    "sec-edgar-mcp": {
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "-e", "SEC_EDGAR_USER_AGENT=Your Name (your@email.com)",
        "stefanoamorelli/sec-edgar-mcp:latest"
      ]
    }
  }
}

Other Methods

Other installation methods (pip, conda, uv) are available in the [documentation](https://sec-edgar-mcp.amorelli.tech/setup/quickstart).

HTTP Transport

For platforms like Dify, use streamable HTTP:

python -m sec_edgar_mcp.server --transport streamable-http --port 9870

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