ultimate_mcp_server vs mcp-gemini-google-search
Side-by-side comparison to help you pick between these two MCP servers.
ultimate_mcp_server by Dicklesworthstone | mcp-gemini-google-search by yukukotani | |
|---|---|---|
| Stars | ★ 149 | ★ 79 |
| 30d uses | — | — |
| Score | 85 | 43 |
| Official | — | — |
| Categories | AI / LLM ToolsBrowser AutomationFile System | AI / LLM ToolsSearchDeveloper Tools |
| Language | Python | TypeScript |
| Last commit | 2 mo ago | 10 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.
mcp-gemini-google-search · Summary
MCP server providing Google Search functionality using Gemini's built-in Grounding with Google Search feature.
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
mcp-gemini-google-search · Use cases
- Real-time information retrieval in AI assistants
- Adding web search capabilities to MCP-compatible clients
- Research tasks requiring current web data with source verification
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_servermcp-gemini-google-search · Install
Installation
npm install -g mcp-gemini-google-searchEnvironment Variables
# For Google AI Studio (default)
export GEMINI_API_KEY="your-api-key-here"
export GEMINI_MODEL="gemini-2.5-flash" # Optional
# For Vertex AI
export GEMINI_PROVIDER="vertex"
export VERTEX_PROJECT_ID="your-gcp-project-id"
export VERTEX_LOCATION="us-central1" # OptionalClaude Code Configuration
claude mcp add gemini-google-search \
-s user \
-e GEMINI_API_KEY="your-api-key-here" \
-- npx mcp-gemini-google-search