ultimate_mcp_server vs rec-us-mcp-server
Side-by-side comparison to help you pick between these two MCP servers.
ultimate_mcp_server by Dicklesworthstone | rec-us-mcp-server by elizabethsiegle | |
|---|---|---|
| Stars | ★ 149 | ★ 10 |
| 30d uses | — | — |
| Score | 85 | 37 |
| Official | — | — |
| Categories | AI / LLM ToolsBrowser AutomationFile System | Browser AutomationProductivityWeb Scraping |
| Language | Python | TypeScript |
| Last commit | 2 mo ago | 9 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.
rec-us-mcp-server · Summary
MCP server for San Francisco tennis court booking with authentication via browser automation.
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
rec-us-mcp-server · Use cases
- Automating tennis court reservations in San Francisco
- Integrating booking capabilities into AI assistants like Claude
- Creating personalized booking systems for specific users
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_serverrec-us-mcp-server · Install
Installation
- Deploy to Cloudflare Workers:
[](https://deploy.workers.cloudflare.com/?url=https://github.com/cloudflare/ai/tree/main/demos/remote-mcp-authless)
- Or clone and deploy locally:
npm create cloudflare@latest -- tennis-booking-mcp --template=cloudflare/ai/demos/remote-mcp-authless- Set required environment variables:
REC_EMAIL=your-sf-rec-email@example.com
REC_PASSWORD=your-sf-rec-password- Configure wrangler.jsonc:
"ai": {
"binding": "AI"
},
"browser": {
"binding": "MYBROWSER"
},Connect to Claude Desktop
Install the [mcp-remote proxy](https://www.npmjs.com/package/mcp-remote) and update Claude Desktop's config:
{
"mcpServers": {
"tennis-booking": {
"command": "npx",
"args": [
"mcp-remote",
"https://tennis-booking.<your-account>.workers.dev/sse"
]
}
}
}