ultimate_mcp_server vs Kagi-Session2API-MCP
Side-by-side comparison to help you pick between these two MCP servers.
ultimate_mcp_server by Dicklesworthstone | Kagi-Session2API-MCP by KSroido | |
|---|---|---|
| Stars | ★ 149 | ★ 134 |
| 30d uses | — | — |
| Score | 85 | 48 |
| Official | — | — |
| Categories | AI / LLM ToolsBrowser AutomationFile System | SearchWeb ScrapingAI / LLM Tools |
| Language | Python | Python |
| Last commit | 2 mo ago | 1 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.
Kagi-Session2API-MCP · Summary
Free Kagi Search MCP server using session tokens instead of paid API, works with multiple MCP clients.
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
Kagi-Session2API-MCP · Use cases
- Integrate free Kagi search capabilities into AI agents like Claude Desktop and Cursor
- Build applications requiring web search without paying for Kagi's API
- Create summarization tools for web content using Kagi's internal summarizer
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_serverKagi-Session2API-MCP · Install
Install via pip:
pip install kagi-session2api-mcpFor Claude Desktop, add to your claude_desktop_config.json:
{
"mcpServers": {
"kagi-session": {
"command": "uvx",
"args": ["kagi-session2api-mcp"],
"env": {
"KAGI_SESSION_TOKEN": "YOUR_SESSION_TOKEN_HERE"
}
}
}
}Or with config file for multiple tokens:
{
"mcpServers": {
"kagi-session": {
"command": "uvx",
"args": ["kagi-session2api-mcp"],
"env": {
"KAGI_SESSION_CONFIG": "/path/to/config.toml"
}
}
}
}