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mcp-gemini-search vs memory

Side-by-side comparison to help you pick between these two MCP servers.

mcp-gemini-search
by arjunprabhulal
memory
by modelcontextprotocol
Stars★ 56★ 85,748
30d uses
Score3977
Official
Categories
AI / LLM ToolsSearchCommunication
Knowledge GraphAI / LLM ToolsProductivity
LanguagePythonTypeScript
Last commit14 mo agothis month

mcp-gemini-search · Summary

MCP server integrating Gemini 2.5 Pro with flight search tools via function calling.

memory · Summary

An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.

mcp-gemini-search · Use cases

  • Travel assistants that understand natural language flight requests
  • Booking systems with AI-powered search capabilities
  • Integration of LLM intelligence with specialized search tools

memory · Use cases

  • Personalizing AI assistant interactions by remembering user preferences, history, and relationships
  • Building context-aware chat applications that maintain conversation history
  • Creating knowledge bases that persist across AI model sessions

mcp-gemini-search · Install

Installation

  1. Clone the repository:
git clone https://github.com/arjunprabhulal/mcp-gemini-search.git
cd mcp-gemini-search
  1. Install dependencies:
pip install -r requirements.txt
pip install mcp-flight-search
  1. Set environment variables:
export GEMINI_API_KEY="YOUR_GEMINI_API_KEY"
export SERP_API_KEY="YOUR_SERPAPI_API_KEY"
  1. Run the client:
python client.py

memory · Install

Installation

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

VS Code

Use one-click installation buttons or manually configure in .vscode/mcp.json:

{
  "servers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

Docker

{
  "mcpServers": {
    "memory": {
      "command": "docker",
      "args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.