ultimate_mcp_server vs CodexClaw
Side-by-side comparison to help you pick between these two MCP servers.
ultimate_mcp_server by Dicklesworthstone | CodexClaw by MackDing | |
|---|---|---|
| Stars | ★ 149 | ★ 24 |
| 30d uses | — | — |
| Score | 85 | 40 |
| Official | — | — |
| Categories | AI / LLM ToolsBrowser AutomationFile System | Developer ToolsAI / LLM ToolsCommunication |
| Language | Python | TypeScript |
| Last commit | 2 mo ago | 1 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.
CodexClaw · Summary
Telegram bot for Claude Code and Codex CLI with MCP routing, multi-agent orchestration, cron jobs, and access controls.
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
CodexClaw · Use cases
- Remote coding access through Telegram with Codex SDK or CLI backend
- Multi-agent orchestration combining Codex with MCP and GitHub subagents
- Scheduled automation and push notifications for daily summaries
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_serverCodexClaw · Install
git clone https://github.com/MackDing/CodexClaw.git
cd CodexClaw
npm install
cp .env.example .env
# Configure minimum settings
BOT_TOKEN=123456789:telegram-token
ALLOWED_USER_IDS=123456789
STATE_FILE=.codex-telegram-claws-state.json
WORKSPACE_ROOT=.
CODEX_WORKDIR=.
CODEX_BACKEND=sdk
# Start the bot
npm run start