Airbnb-StockScreener-Agent-with-MCP vs fetch
Side-by-side comparison to help you pick between these two MCP servers.
Airbnb-StockScreener-Agent-with-MCP by ambideXtrous9 | fetch by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 0 | ★ 85,748 |
| 30d uses | — | — |
| Score | 27 | 76 |
| Official | — | ✓ |
| Categories | FinanceAI / LLM ToolsWeb Scraping | Web ScrapingAI / 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.
fetch · Summary
An MCP server that fetches web content and converts HTML to markdown, allowing LLMs to read web pages.
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
fetch · Use cases
- LLMs reading news articles and blogs
- Content analysis of web pages
- Retrieving information from public websites
- Chunked reading of large web documents
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" } } } ``
fetch · Install
Installation
**Using uv (recommended)** No specific installation needed. Use uvx to run the server directly:
uvx mcp-server-fetch**Using PIP** Install via pip:
pip install mcp-server-fetchThen run as:
python -m mcp_server_fetchClaude Desktop Configuration
{
"mcpServers": {
"fetch": {
"command": "uvx",
"args": ["mcp-server-fetch"]
}
}
}