mcp-flight-search vs memory
Side-by-side comparison to help you pick between these two MCP servers.
mcp-flight-search by arjunprabhulal | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 42 | ★ 85,748 |
| 30d uses | — | — |
| Score | 36 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolstravelSearch | Knowledge GraphAI / LLM ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 14 mo ago | this month |
mcp-flight-search · Summary
Python MCP server for flight search using SerpAPI, providing tools to search for flights and check server status.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
mcp-flight-search · Use cases
- Travel assistants that need real-time flight information
- AI chatbots integrated with travel booking systems
- Claude Desktop users requiring flight search capabilities
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-flight-search · Install
Install the package:
pip install mcp-flight-searchStart the MCP server:
mcp-flight-search --connection_type httpFor Claude Desktop integration, add to your Claude Desktop configuration:
{
"mcpServers": {
"flight-search": {
"command": "mcp-flight-search",
"args": ["--connection_type", "http"],
"env": {
"SERP_API_KEY": "your-api-key-here"
}
}
}
}Set the SerpAPI key as an environment variable:
export SERP_API_KEY="your-api-key-here"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"]
}
}
}