ultimate_mcp_server vs agentql-mcp
Side-by-side comparison to help you pick between these two MCP servers.
ultimate_mcp_server by Dicklesworthstone | agentql-mcp by tinyfish-io | |
|---|---|---|
| Stars | ★ 149 | ★ 170 |
| 30d uses | — | — |
| Score | 85 | 48 |
| Official | — | — |
| Categories | AI / LLM ToolsBrowser AutomationFile System | Web ScrapingDeveloper ToolsAI / LLM Tools |
| Language | Python | Shell |
| 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.
agentql-mcp · Summary
AgentQL MCP server enables structured web data extraction via a single tool with clear configuration across 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
agentql-mcp · Use cases
- Extract structured data from websites for research and analysis
- Automate data collection from e-commerce sites for price monitoring
- Gather information from news sites for content aggregation
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_serveragentql-mcp · Install
Installation
- Install the package globally:
npm install -g agentql-mcp- Configure Claude Desktop:
Add to claude_desktop_config.json:
{
"mcpServers": {
"agentql": {
"command": "npx",
"args": ["-y", "agentql-mcp"],
"env": {
"AGENTQL_API_KEY": "YOUR_API_KEY"
}
}
}
}- Get your API key from the [AgentQL Dev Portal](https://dev.agentql.com)