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memory vs fli

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

memory
by modelcontextprotocol
fli
by punitarani
Stars★ 85,748★ 2,489
30d uses
Score7757
Official
Categories
Knowledge GraphAI / LLM ToolsProductivity
travelSearchAI / LLM Tools
LanguageTypeScriptPython
Last committhis monththis month

memory · Summary

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

fli · Summary

Google Flights MCP server providing programmatic flight search with two main tools for specific dates and flexible date range searches.

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

fli · Use cases

  • Travel agents comparing flight prices across multiple dates and routes
  • Developers integrating flight search capabilities into travel applications
  • Business travelers optimizing their trip schedules based on price and time

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"]
    }
  }
}

fli · Install

Installation

# Install using pipx (recommended for CLI)
pipx install flights

# Or using pip
pip install flights

Claude Desktop Configuration

Add to Claude Desktop config.json:

{
  "mcpServers": {
    "fli": {
      "command": "/Users/<user>/.local/bin/fli-mcp"
    }
  }
}

Replace <user> with your actual username.

Comparison generated from public README + GitHub signals. Last updated automatically.