ultimate_mcp_server vs excalimate
Side-by-side comparison to help you pick between these two MCP servers.
ultimate_mcp_server by Dicklesworthstone | excalimate by excalimate | |
|---|---|---|
| Stars | ★ 149 | ★ 19 |
| 30d uses | — | — |
| Score | 85 | 43 |
| Official | — | — |
| Categories | AI / LLM ToolsBrowser AutomationFile System | AI / LLM ToolsDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 2 mo ago | this month |
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.
excalimate · Summary
MCP server that turns hand-drawn Excalidraw diagrams into animated videos with AI-driven creation tools.
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
excalimate · Use cases
- AI-assisted creation of animated presentations and explainers
- Automated generation of architecture diagrams with animation sequences
- Real-time collaboration between AI tools and visual design
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_serverexcalimate · Install
Installation
**Quick start:**
npx @excalimate/mcp-server**For Claude Desktop:** Add to claude_desktop_config.json:
{
"mcpServers": {
"excalimate": {
"command": "npx",
"args": ["@excalimate/mcp-server", "--stdio"]
}
}
}**For VS Code (GitHub Copilot):** Add to .vscode/mcp.json:
{
"servers": {
"excalimate": {
"type": "http",
"url": "http://localhost:3001/mcp"
}
}
}