spicebridge vs ultimate_mcp_server
Side-by-side comparison to help you pick between these two MCP servers.
spicebridge by clanker-lover | ultimate_mcp_server by Dicklesworthstone | |
|---|---|---|
| Stars | ★ 19 | ★ 149 |
| 30d uses | — | — |
| Score | 43 | 85 |
| Official | — | — |
| Categories | Developer ToolsAI / LLM ToolsOther | AI / LLM ToolsBrowser AutomationFile System |
| Language | Python | Python |
| Last commit | 1 mo ago | 2 mo ago |
spicebridge · Summary
MCP server providing AI assistants with direct access to ngspice circuit simulation.
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.
spicebridge · Use cases
- AI-assisted circuit design and validation through natural language commands
- Rapid prototyping of electronic circuits with automatic component value calculation
- Educational tool for learning circuit design concepts through interactive simulation
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
spicebridge · Install
Installation
pip install spicebridgeRequirements
- Python 3.10+
- [ngspice](https://ngspice.sourceforge.io/) installed and on PATH
Claude Desktop Configuration
Add to your .mcp.json:
{
"mcpServers": {
"spicebridge": {
"command": "spicebridge"
}
}
}Cloud Deployment
spicebridge setup-cloud # interactive deployment
spicebridge setup-cloud --quick # quick temporary tunnelultimate_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