ultimate_mcp_server vs tinymcp

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

	ultimate_mcp_server by Dicklesworthstone	tinymcp by golioth
Stars	★ 149	★ 150
30d uses	—	—
Score	85	43
Official	—	—
Categories	AI / LLM ToolsBrowser AutomationFile System	iotDeveloper ToolsAI / LLM Tools
Language	Python	Go
Last commit	2 mo ago	11 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.

tinymcp · Summary

MCP server enabling LLMs to control embedded devices via Golioth API and RPCs.

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

tinymcp · Use cases

LLM-controlled IoT device automation and management
Remote device monitoring and control through natural language
Physical interaction with devices via AI agents

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

tinymcp · Install

Installation

Prerequisites

Go installed
Golioth account and project
Connected device

Steps

Set environment variables:

export TINYMCP_PROJECT=<your-golioth-project-id>
export TINYMCP_DEVICE=<your-golioth-device-id>
export TINYMCP_API_KEY=<api-key-for-your-golioth-project>

Build and run the server:

go build -o tinymcp ./server
./tinymcp
# or directly:
go run ./server

For testing with MCP Inspector, connect to http://localhost:8080

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