eraser-io-mcp-server vs ultimate_mcp_server
Side-by-side comparison to help you pick between these two MCP servers.
eraser-io-mcp-server by buck-0x | ultimate_mcp_server by Dicklesworthstone | |
|---|---|---|
| Stars | ★ 21 | ★ 149 |
| 30d uses | — | — |
| Score | 42 | 85 |
| Official | — | — |
| Categories | Developer ToolsProductivityAI / LLM Tools | AI / LLM ToolsBrowser AutomationFile System |
| Language | Python | Python |
| Last commit | 5 mo ago | 2 mo ago |
eraser-io-mcp-server · Summary
A Python MCP server for rendering various diagram types using the Eraser API with customizable themes and output formats.
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.
eraser-io-mcp-server · Use cases
- Generate documentation diagrams in AI assistants that support MCP
- Create sequence diagrams and flowcharts directly from conversational prompts
- Produce cloud architecture diagrams with customizable themes
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
eraser-io-mcp-server · Install
Installation
Using pip:
pip install -e .Using uv:
uv pip install -e .Claude Desktop Configuration
Add to your Claude Desktop config.json:
{
"mcpServers": {
"eraser": {
"command": "python",
"args": ["/path/to/eraser-io-mcp-server/main.py"]
}
}
}For HTTP transport:
{
"mcpServers": {
"eraser": {
"type": "streamable-http",
"url": "http://localhost:8000/mcp",
"headers": {
"Authorization": "Bearer your_auth_token"
}
}
}
}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