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
Retrieves stock-related news and financial information using the Tavily API, with special support for Vietnamese financial sources like CafeF and Nguoi Quan Sat.
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.
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.
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.
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
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
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
Share your MCP server with the developer community
Stock News Search (Tavily) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Useful MCP listing: Stock News Search (Tavily) is the kind of server we cite when onboarding engineers to host + tool permissions.
We wired Stock News Search (Tavily) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We wired Stock News Search (Tavily) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Stock News Search (Tavily) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
We wired Stock News Search (Tavily) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
According to our notes, Stock News Search (Tavily) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Stock News Search (Tavily) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Stock News Search (Tavily) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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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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
Prerequisites
Time Estimate
20-40 minutes including configuration and testing
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
Compatibility
✓ 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.