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ultimate_mcp_server vs rlm-claude

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

ultimate_mcp_server
by Dicklesworthstone
rlm-claude
by EncrEor
Stars★ 149★ 35
30d uses
Score8546
Official
Categories
AI / LLM ToolsBrowser AutomationFile System
AI / LLM ToolsDeveloper ToolsProductivity
LanguagePythonPython
Last commit2 mo ago2 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.

rlm-claude · Summary

RLM is an MCP server providing persistent memory for Claude Code with auto-save, semantic search, and multi-project organization.

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

rlm-claude · Use cases

  • Maintaining long-term project context across multiple Claude Code sessions
  • Preserving critical decisions and architectural choices throughout development
  • Searching through historical conversations using semantic and fuzzy matching

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

rlm-claude · Install

Installation

Via PyPI (recommended)

pip install mcp-rlm-server[all]

Via uv

uv tool install mcp-rlm-server[all] --python 3.12

Configure Claude Code

Add to your Claude Code configuration:

{
  "mcpServers": {
    "rlm": {
      "command": "python",
      "args": ["-m", "mcp_server.server"]
    }
  }
}

Then restart Claude Code and start using the 14 available RLM tools.

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