search-webfinance

Stock News Search (Tavily)

cognitive-stack

by cognitive-stack

Search stock news for dji average or tesla motors stock easily. Get the latest with Stock News Search (Tavily) for top f

Provides a specialized tool for retrieving stock-related news using the Tavily API, enabling financial searches by stock symbol and company name with configurable parameters for Vietnamese financial sources like CafeF and Nguoi Quan Sat.

github stars

6

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Vietnamese financial sources includedConfigurable search templatesReal-time news retrieval

best for

  • / Stock traders monitoring market news
  • / Financial analysts researching companies
  • / Vietnamese market investors
  • / Building financial news applications

capabilities

  • / Search stock news by company symbol or name
  • / Filter results from specific financial domains
  • / Configure search parameters and query templates
  • / Access Vietnamese financial news sources
  • / Retrieve real-time stock market news

what it does

Retrieves stock-related news and financial information using the Tavily API, with special support for Vietnamese financial sources like CafeF and Nguoi Quan Sat.

about

Stock News Search (Tavily) is a community-built MCP server published by cognitive-stack that provides AI assistants with tools and capabilities via the Model Context Protocol. Search stock news for dji average or tesla motors stock easily. Get the latest with Stock News Search (Tavily) for top f It is categorized under search web, finance.

how to install

You can install Stock News Search (Tavily) in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Stock News Search (Tavily) is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Search Stock News MCP Server 🚀

VLD Logo

> 🔌 **Compatible with Cline, Cursor, Claude Desktop, and any other MCP Clients!** > > Search Stock News MCP works seamlessly with any MCP client 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. The Search Stock News MCP server provides: * Real-time stock news search capabilities via Tavily API * Multiple customizable search query templates * Configurable search parameters and filtering * Domain-specific content filtering * Type-safe operations with TypeScript ## Prerequisites 🔧 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) ## Search Stock News MCP Server Installation ⚡ ### Running with NPX ```bash npx -y search-stock-news-mcp@latest ``` ### Installing via Smithery To install Search Stock News MCP Server for Claude Desktop automatically via Smithery: ```bash npx -y @smithery/cli install search-stock-news-mcp --client claude ``` ## Configuring MCP Clients ⚙️ ### Configuring Cline 🤖 The easiest way to set up the Search Stock News MCP server in Cline is through the marketplace: 1. Open Cline in VS Code 2. Click on the Cline icon in the sidebar 3. Navigate to the "MCP Servers" tab 4. Search "Search Stock News" and click "install" 5. When prompted, enter your Tavily API key Alternatively, manually configure the server in Cline: 1. Open the Cline MCP settings file: ```bash # For macOS: code ~/Library/Application\ Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json # For Windows: code %APPDATA%\Code\User\globalStorage\saoudrizwan.claude-dev\settings\cline_mcp_settings.json ``` 2. Add the Search Stock News server configuration: ```json { "mcpServers": { "search-stock-news-mcp": { "command": "npx", "args": ["-y", "search-stock-news-mcp@latest"], "env": { "TAVILY_API_KEY": "your-api-key-here" }, "disabled": false, "autoApprove": [] } } } ``` ### Configuring Cursor 🖥️ To set up the Search Stock News MCP server in Cursor: 1. Open Cursor Settings 2. Navigate to Features > MCP Servers 3. Click on the "+ Add New MCP Server" button 4. Fill out the following information: * **Name**: "search-stock-news-mcp" * **Type**: "command" * **Command**: ```bash env TAVILY_API_KEY=your-api-key-here npx -y search-stock-news-mcp@latest ``` ### Configuring Claude Desktop 🖥️ #### For macOS: ```bash touch "$HOME/Library/Application Support/Claude/claude_desktop_config.json" open -e "$HOME/Library/Application Support/Claude/claude_desktop_config.json" ``` #### For Windows: ```bash code %APPDATA%\Claude\claude_desktop_config.json ``` Add the server configuration: ```json { "mcpServers": { "search-stock-news-mcp": { "command": "npx", "args": ["-y", "search-stock-news-mcp@latest"], "env": { "TAVILY_API_KEY": "your-api-key-here" } } } } ``` ## Usage Examples 🎯 1. **Basic Stock News Search**: ```json { "symbol": "AAPL", "companyName": "Apple Inc.", "maxResults": 10 } ``` 2. **Advanced Search with Filters**: ```json { "symbol": "TSLA", "companyName": "Tesla Inc.", "maxResults": 20, "searchDepth": "advanced", "minScore": 0.6 } ``` 3. **Custom Domain Search**: ```json { "symbol": "MSFT", "companyName": "Microsoft Corporation", "includeDomains": ["reuters.com", "bloomberg.com"] } ``` ## Troubleshooting 🛠️ ### Common Issues 1. **Server Not Found** * Verify npm installation * Check configuration syntax * Ensure Node.js is properly installed 2. **API Key Issues** * Verify your Tavily API key is valid * Check the API key is correctly set in config * Ensure no spaces or quotes around the API key 3. **Search Results Issues** * Check search parameters are within valid ranges * Verify domain filters are correctly formatted * Ensure company name and symbol are accurate ## Acknowledgments ✨ * Model Context Protocol for the MCP specification * Anthropic for Claude Desktop * Tavily for the News Search API ## License MIT

FAQ

What is the Stock News Search (Tavily) MCP server?
Stock News Search (Tavily) is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Stock News Search (Tavily)?
This profile displays 47 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.

Use Cases

Web Research & Information Gathering

Fetch and extract information from websites automatically

Example

Research competitor pricing, scrape product reviews, monitor news mentions

Automate 5-10 hours/week of manual web research

Content Monitoring & Alerts

Track website changes, new content, price updates

Example

Monitor competitor blog for new posts, track stock availability, watch for pricing changes

Stay informed without manual checking, never miss important updates

Data Extraction & Aggregation

Extract structured data from multiple websites

Example

Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data

Build datasets 100x faster than manual copying

API-less Integration

Interact with services that don't offer APIs

Example

Check form submissions, validate website functionality, test user flows

Automate interactions with any website, even without API

Implementation Guide

Prerequisites

  • Claude Desktop or Cursor with MCP support
  • Understanding of web scraping ethics and robots.txt
  • Rate limiting awareness to avoid overwhelming target sites
  • Knowledge of legal restrictions on data collection

Time Estimate

20-40 minutes including configuration and testing

Installation Steps

  1. 1.Install web automation MCP server via npm or pip
  2. 2.Configure allowed domains and rate limits in MCP config
  3. 3.Test with simple fetch: 'Get content from example.com'
  4. 4.Progress to extraction: 'Extract all product prices from this page'
  5. 5.Set up monitoring: 'Check this URL daily for changes'
  6. 6.Parse structured data: 'Create CSV from this table'
  7. 7.Respect robots.txt and rate limits always

Troubleshooting

  • 403 Forbidden: Website blocks bots—respect their wishes, use official API instead
  • Rate limit errors: Slow down requests, add delays between fetches
  • Stale data: Target site changed HTML structure—update selectors
  • Timeout errors: Site is slow or blocking—increase timeout, try different user agent
  • JavaScript-rendered content: Use headless browser MCP servers for dynamic sites

Best Practices

✓ Do

  • +Check robots.txt and respect crawl rules
  • +Rate limit requests: 1-2 requests/second maximum
  • +Use official APIs when available instead of scraping
  • +Identify your bot with descriptive user agent
  • +Cache results to minimize repeated requests
  • +Handle errors gracefully with retries and fallbacks
  • +Validate extracted data for accuracy

✗ Don't

  • Don't scrape sites that explicitly forbid it (robots.txt, ToS)
  • Don't overwhelm servers with rapid requests—use rate limiting
  • Don't scrape personal data without consent and legal basis
  • Don't ignore copyright on extracted content
  • Don't assume HTML structure is stable—handle changes
  • Don't use scraped data for commercial purposes without permission

💡 Pro Tips

  • Use CSS selectors or XPath for robust data extraction
  • Set up monitoring alerts for extraction failures (structure changed)
  • Implement exponential backoff for retries on failures
  • Store raw HTML for reprocessing if extraction logic changes
  • Combine with data analysis tools for insights from extracted data
  • Consider using official APIs or RSS feeds as more stable alternatives

Technical Details

Architecture

MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.

Protocols

  • HTTP/HTTPS
  • WebSocket (for real-time sites)
  • Puppeteer/Playwright (for JavaScript sites)

Compatibility

  • Static HTML sites
  • JavaScript-rendered SPAs (with headless browser)
  • REST APIs
  • GraphQL endpoints

When to Use This

✓ Use When

Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.

✗ Avoid When

Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.

Integration

  • Scheduled monitoring with change detection
  • Multi-source data aggregation pipelines
  • Fallback to web scraping when API rate limits hit
  • Headless browser for JavaScript-heavy sites

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.747 reviews
  • Dev Rao· Dec 28, 2024

    Stock News Search (Tavily) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Kiara Shah· Dec 28, 2024

    Useful MCP listing: Stock News Search (Tavily) is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Dhruvi Jain· Dec 24, 2024

    We wired Stock News Search (Tavily) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Hana Anderson· Dec 16, 2024

    We wired Stock News Search (Tavily) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Diego Sanchez· Dec 4, 2024

    Stock News Search (Tavily) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Arjun Mensah· Nov 23, 2024

    We wired Stock News Search (Tavily) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Ama Mensah· Nov 19, 2024

    According to our notes, Stock News Search (Tavily) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Oshnikdeep· Nov 15, 2024

    Stock News Search (Tavily) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Chinedu Diallo· Nov 7, 2024

    Stock News Search (Tavily) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Dev Patel· Oct 26, 2024

    Stock News Search (Tavily) is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

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