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mcp-congress_gov_server vs ultimate_mcp_server

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mcp-congress_gov_server
by bsmi021
ultimate_mcp_server
by Dicklesworthstone
Stars★ 8★ 149
30d uses
Score3885
Official
Categories
Developer ToolsAI / LLM Toolsgovernment
AI / LLM ToolsBrowser AutomationFile System
LanguageTypeScriptPython
Last commit12 mo ago2 mo ago

mcp-congress_gov_server · Summary

MCP server providing access to U.S. Congress.gov legislative data through hybrid resources and tools.

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-congress_gov_server · Use cases

  • AI assistants needing to retrieve U.S. legislative information for policy analysis
  • Research applications tracking voting records and bill sponsorship patterns
  • Development tools requiring real-time access to congressional data for documentation or applications

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-congress_gov_server · Install

Installation

  1. Install dependencies:
npm install
  1. Set up your API key:

Create a .env file with:

CONGRESS_GOV_API_KEY=YOUR_API_KEY_HERE
  1. Build the server:
npm run build
  1. Run the server:
npm start

Claude Desktop Configuration

Add to your Claude Desktop config.json:

{
  "mcpServers": {
    "congress-gov": {
      "command": "node",
      "args": ["dist/server.js"]
    }
  }
}

ultimate_mcp_server · Install

Installation

  1. Clone the repository:
git clone https://github.com/Dicklesworthstone/ultimate_mcp_server.git
cd ultimate_mcp_server
  1. Install dependencies:
pip install -e .
  1. For Claude Desktop integration, add to your claude_desktop_config.json:
{
  "mcpServers": {
    "ultimate-mcp": {
      "command": "python",
      "args": ["-m", "ultimate_mcp_server"],
      "env": {
        "PYTHONPATH": "."
      }
    }
  }
}
  1. Run the server:
python -m ultimate_mcp_server
Comparison generated from public README + GitHub signals. Last updated automatically.