Airbnb-StockScreener-Agent-with-MCP vs memory
Side-by-side comparison to help you pick between these two MCP servers.
Airbnb-StockScreener-Agent-with-MCP by ambideXtrous9 | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 0 | ★ 85,748 |
| 30d uses | — | — |
| Score | 27 | 77 |
| Official | — | ✓ |
| Categories | FinanceAI / LLM ToolsWeb Scraping | Knowledge GraphAI / LLM ToolsProductivity |
| Language | Jupyter Notebook | TypeScript |
| Last commit | 9 mo ago | this month |
Airbnb-StockScreener-Agent-with-MCP · Summary
A local stock analysis MCP server using LangChain, Ollama Qwen3, and BeautifulSoup for financial data.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
Airbnb-StockScreener-Agent-with-MCP · Use cases
- Perform detailed stock analysis for individual companies
- Extract financial metrics and profit trends for investment research
- Analyze shareholding patterns and institutional ownership
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
Airbnb-StockScreener-Agent-with-MCP · Install
- Install prerequisites:
``bash pip install langchain langchain-community langchain-core beautifulsoup4 ollama ollama pull qwen3 ``
- Clone the repository and install requirements:
``bash git clone <repository_url> pip install -r requirements.txt ``
- Configure MCP server in Claude Desktop (or compatible client):
``json { "mcpServers": { "stock": { "command": "python", "args": ["StockMcp.py"], "transport": "stdio" } } } ``
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"]
}
}
}