ultimate_mcp_server vs sparql-llm
Side-by-side comparison to help you pick between these two MCP servers.
ultimate_mcp_server by Dicklesworthstone | sparql-llm by sib-swiss | |
|---|---|---|
| Stars | ★ 149 | ★ 108 |
| 30d uses | — | — |
| Score | 85 | 47 |
| Official | — | — |
| Categories | AI / LLM ToolsBrowser AutomationFile System | AI / LLM ToolsDeveloper ToolsKnowledge Graph |
| Language | Python | Jupyter Notebook |
| 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.
sparql-llm · Summary
MCP server that helps LLMs generate and validate SPARQL queries for biological knowledge graphs.
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
sparql-llm · Use cases
- Helping researchers write SPARQL queries to retrieve biological data from knowledge graphs
- Validating SPARQL queries before execution against biological endpoints
- Enabling LLM assistants to understand biological database schemas and query structures
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_serversparql-llm · Install
Installation
pip install sparql-llmOr with uv:
uv add sparql-llmClaude Desktop Configuration
Add this to your mcp.json file:
{
"servers": {
"expasy-mcp": {
"type": "stdio",
"command": "uvx",
"args": [
"sparql-llm"
]
}
}
}Using HTTP Server
The public HTTP server is available at: https://chat.expasy.org/mcp
In your VSCode mcp.json:
{
"servers": {
"expasy-mcp-http": {
"url": "https://chat.expasy.org/mcp/",
"type": "http"
}
}
}