MCP server for searching stock news using Tavily API
MCP server for searching stock news using Tavily API
The Model Context Protocol (MCP) is an open standard that enables AI systems to interact seamlessly with various data sources and tools, facilitating secure, two-way connections.
Before you begin, ensure you have: * Tavily API Key * Claude Desktop, Cursor, or any MCP-compatible client * Node.js (v16 or higher) * Git installed (only needed if using Git installation method)
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{
"mcpServers": {
"search-stock-news-mcp": {
"command": "npx",
"args": [
"-y",
"search-stock-news-mcp@latest"
],
"env": {
"TAVILY_API_KEY": "YOUR_TAVILY_API_KEY"
},
"disabled": false,
"autoApprove": []
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
Before you begin, ensure you have: * Tavily API Key * Claude Desktop, Cursor, or any MCP-compatible client * Node.js (v16 or higher) * Git installed (only needed if using Git installation method)
| Variable | Description | Required |
|---|---|---|
| TAVILY_API_KEY | Declared in the maintainer’s client configuration. | Check documentation |
Retrieve public web pages as readable Markdown with the reference Fetch MCP server, including pagination for longer responses.
Use Firecrawl MCP to retrieve website content and extract information for research through Firecrawl’s API-backed web tools.
Or with Docker Compose: ```sh docker compose --profile service up -d ```
Stealthy browser automation, testing, and web-scraping via CDP Mode.
CrawlForge MCP is a production-ready MCP server with 18 web scraping tools for AI agents. It gives Claude, Cursor, and any MCP-compatible client the
срезAI: веб-поиск и чтение страниц, 12 инструментов. Twelve web tools for AI agents