Latest news with #BrightData
Cision Canada
02-07-2025
- Business
- Cision Canada
Bright Data Powers LLMs and AI Agents with Real-Time Web Access to Overcome Bottlenecks
Deep Lookup (Beta) is a natural language research engine that answers complex, multi-layered questions in real time; is the first unblockable browser that lets agents interact with the live web like real users; MCP Servers enables agents to search, crawl, and extract live data at scale. NEW YORK, July 2, 2025 /CNW/ -- Bright Data, the world's #1 web data infrastructure company for AI & BI, today announced the launch of a powerful set of AI-powered web search and discovery tools designed to give large language models (LLMs) and autonomous agents frictionless access to the open web. At the center of the suite is Deep Lookup (Beta), a natural language research engine that answers impossibly complex questions with structured, actionable answers with citations in seconds. Deep Lookup (Beta) rolls out today for businesses, and the general public can join the waitlist for later access. Complemented by and Bright Data MCP (Model Context Protocol) server, the suite is designed to solve the biggest pain points faced by today's most powerful AI systems: real-time, unblockable, reliable access to live web data. These products serve as the foundational access layer for AI systems that need to observe, understand, and act in the real world in real-time, while Deep Lookup (Beta) removes barriers to provide access to data at scale through AI. "The intelligence of today's LLMs is no longer its limiting factor; access is," said Or Lenchner, CEO of Bright Data. "We've spent the last decade fighting for open access to public web data, and these new offerings bring us to the next chapter in our journey, one characterized by truly accessible data and the subsequent rise of contextually-aware agents." The powerful set of AI-powered web search and discovery tools includes: Deep Lookup (Beta): Deep Lookup (Beta) is a natural language research engine that answers complex, multi-layered questions in real-time, with structured insight. Deep Lookup (Beta) allows users to query across petabytes of unstructured and structured web data simultaneously, surfacing high-confidence answers to complex, multi-layered questions, without code. Unlike general-purpose LLMs that hallucinate or struggle with context, Deep Lookup (Beta) delivers verified, web-sourced insights, with links to cited sources, with structured outputs you can immediately act on—across thousands of verticals. The industry's first unblockable, AI-native browser. Designed specifically for autonomous agents, mimics real user behavior to access and interact with the web at scale. It runs in the cloud, supports natural language prompts, and bypasses CAPTCHAs, scripts, and bot defenses, making it ideal for scaling agent-based tasks like scraping, monitoring, and dynamic research. MCP Servers: A low-latency control layer that lets agents search, crawl, and extract live data in real-time. Built to power agentic workflows, MCP is designed for developers building Retrieval-Augmented Generation (RAG) pipelines, autonomous tools, and multi-agent systems that need to act in context, not just passively read. Bright Data's infrastructure is already powering over 100 million daily agent actions, and behind the scenes, its Web Archive maps and collects the internet at an unprecedented scale. With over 200 billion raw HTML pages and 15 billion more added monthly, Bright Data supports the entire AI lifecycle: from pre-training and fine-tuning to inference and post-training. Now, with Deep Lookup and its agent-native tools publicly available, the company is opening the door for developers, startups, and enterprises to build next-gen AI systems with live, structured, and context-rich access to the web. To get started with Bright Data's infrastructure suite, please visit About Bright Data Bright Data, the world's #1 web data infrastructure company for AI & BI. Fortune 500 companies, academic institutions, non-profits, and small businesses rely on Bright Data's solutions to collect public web data in the most efficient, reliable, and flexible way to make faster, more informed business-critical decisions.
Geeky Gadgets
01-07-2025
- Geeky Gadgets
Unlock the Power of Data Extraction with Gemini CLI and MCP Servers
What if you could seamlessly integrate a powerful command-line tool with a server designed to handle complex data extraction workflows? Imagine automating the collection of structured data from platforms like LinkedIn or Amazon, all while maintaining precision, compliance, and efficiency. This is exactly what combining Gemini CLI with a Model Context Protocol (MCP) server offers. Whether you're a data scientist navigating intricate scraping scenarios or a business professional seeking actionable insights, this pairing unlocks a streamlined approach to managing and enhancing your data extraction processes. But as with any sophisticated system, the key lies in understanding how to configure and optimize these tools for maximum impact. In this deep dive, Prompt Engineering explores the step-by-step process of integrating Gemini CLI with an MCP server, using Bright Data as a prime example. You'll uncover how to configure essential settings like API tokens and rate limits, use advanced features such as structured queries and browser APIs, and even troubleshoot common challenges to ensure uninterrupted workflows. Along the way, we'll highlight how this integration not only simplifies data collection but also enables you to extract meaningful, actionable insights from even the most complex datasets. By the end, you'll see how these tools can transform your approach to data extraction, opening up new possibilities for efficiency and scalability. Integrating Gemini CLI with MCP Configuring Gemini CLI for MCP Servers To successfully integrate Gemini CLI with an MCP server, proper configuration is essential. The process begins with creating a ` file, which serves as the central repository for your API tokens, zones, and rate limits. This configuration ensures smooth communication between Gemini CLI and the MCP server, optimizing performance and reliability. Generate API tokens : Obtain API tokens from your MCP server account to enable secure authentication. : Obtain API tokens from your MCP server account to enable secure authentication. Set rate limits : Define rate limits to prevent overloading the server and maintain compliance with usage policies. : Define rate limits to prevent overloading the server and maintain compliance with usage policies. Define zones: Specify zones to outline the scope and focus of your data extraction activities. After completing these steps, restart Gemini CLI to apply the updated settings. This ensures the tool is fully prepared for your data extraction tasks, minimizing potential disruptions and maximizing efficiency. Maximizing Efficiency with Bright Data MCP Server Bright Data is a widely recognized MCP server, valued for its advanced web scraping capabilities and robust toolset. When integrated with Gemini CLI, it enables automated data collection from platforms such as LinkedIn, Amazon, and YouTube. Bright Data's specialized features are designed to address complex scraping scenarios, making it a powerful resource for extracting structured data. Web unlocker : Overcomes CAPTCHA challenges and other access restrictions, making sure uninterrupted data collection. : Overcomes CAPTCHA challenges and other access restrictions, making sure uninterrupted data collection. Browser APIs: Simulate user interactions, such as scrolling or clicking, to enable dynamic and comprehensive data extraction. These tools are particularly effective for gathering structured data, such as product specifications, user profiles, or video metadata. By using Bright Data's capabilities, you can ensure that your extracted data is both organized and actionable, supporting a wide range of analytical and operational needs. Guide to Integrating Gemini CLI with Model Context Protocol (MCP) Servers Watch this video on YouTube. Explore further guides and articles from our vast library that you may find relevant to your interests in Model Context Protocol (MCP). Core Features of MCP Servers MCP servers, including Bright Data, offer a variety of features designed to optimize data extraction workflows. These features provide users with the flexibility and precision needed to handle diverse data collection tasks. Structured queries : Enable precise and targeted data requests, reducing unnecessary processing and improving accuracy. : Enable precise and targeted data requests, reducing unnecessary processing and improving accuracy. URL-based inputs : Focus on specific web pages or sections to streamline data collection efforts. : Focus on specific web pages or sections to streamline data collection efforts. Error-handling tools : Address common issues such as timeouts or access restrictions, making sure reliable operations. : Address common issues such as timeouts or access restrictions, making sure reliable operations. Permission management: Maintain compliance with platform policies and legal requirements. For example, structured queries can be used to extract detailed information from LinkedIn profiles or YouTube videos, while permission management tools help ensure that your activities remain within acceptable boundaries. Overcoming Common Challenges While Gemini CLI and MCP servers are powerful tools, users may encounter challenges during setup or operation. Common issues include incorrect configuration of the ` file or difficulties disabling default tools, such as Google search, within Gemini CLI. Addressing these challenges often involves revisiting configuration files or consulting official documentation for detailed guidance. If persistent issues arise, consider running the Bright Data MCP server on a cloud desktop environment. This approach provides a stable and controlled platform for data extraction tasks, reducing the likelihood of disruptions and enhancing overall functionality. Enhancing Operations with Cloud Desktop Integration Setting up the Bright Data MCP server on a cloud desktop offers several advantages, particularly for users managing complex or large-scale data extraction projects. The process involves editing the ` file to include your API token and other critical settings. Secure configuration storage : Safeguard sensitive settings and access them from any location. : Safeguard sensitive settings and access them from any location. Controlled environment : Execute complex scraping tasks without impacting the performance of your local system. : Execute complex scraping tasks without impacting the performance of your local system. Scalability: Easily expand operations to handle larger datasets or more intricate workflows. By using a cloud desktop, you can create a reliable and scalable foundation for your data extraction activities, making sure consistent performance and security. The Evolving Potential of Gemini CLI As an open source tool, Gemini CLI continues to benefit from ongoing development and community contributions. Regular updates introduce new features, enhance compatibility with MCP servers, and improve overall functionality. For professionals seeking efficient and scalable data extraction solutions, Gemini CLI remains a valuable and adaptable resource. By staying informed about updates and actively engaging with the tool's development, you can ensure that your data extraction workflows remain at the forefront of technological advancements. Media Credit: Prompt Engineering Filed Under: AI, Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Geeky Gadgets
19-05-2025
- Business
- Geeky Gadgets
Vibe Scraping : Using Cursor's New AI MCP Integrations for Web Development
What if you could extract the essence of a website—the tone, style, and even its emotional resonance—just as easily as copying text? With the advent of Cursor AI's new Model Control Plugins (MCPs), this once-futuristic concept is now a reality. Dubbed 'vibe scraping,' this innovative capability allows developers to go beyond traditional data scraping, capturing not just content but the intangible elements that make a digital experience unique. Imagine building a landing page that doesn't just replicate information but mirrors the energy of a brand, or designing a CMS populated with content that feels alive and on-trend. Cursor AI isn't just automating tasks; it's transforming how we think about creativity and functionality in web development. Rob Shocks provides more insights into the fantastic power of Cursor AI and its MCP ecosystem, exploring how tools like the Bright Data MCP and Max Mode are reshaping workflows for developers and designers alike. From automating content scraping to integrating serverless databases and pre-designed components, these plugins promise to streamline even the most complex projects. But the real intrigue lies in the advanced features—like background agents and multi-codebase management—that push the boundaries of what's possible. Could this be the dawn of a new era where technology doesn't just assist but inspires? Let's explore how Cursor AI is redefining the art of digital creation. Transforming Development with Cursor AI Streamlining Data Collection with Automated Content Scraping One of the most impactful features of Cursor AI is its ability to automate content scraping, particularly through plugins like the Bright Data MCP. This tool enables you to crawl websites, extract relevant data, and convert it into usable formats such as markdown for seamless integration into your projects. For example, you can gather content from blogs, social media platforms, or e-commerce sites, significantly reducing the time and effort required for manual data collection. This capability is especially valuable for tasks like creating landing pages or populating a CMS with minimal effort. By automating data collection, you can ensure your projects are built on accurate, up-to-date information. Enhancing Development Efficiency with MCPs Model Control Plugins are designed to optimize every stage of the development process, offering tools that address both technical and creative needs. Here's how some of the key MCPs contribute to a more efficient workflow: Bright Data MCP: Automates web crawling and data scraping, making sure access to fresh, relevant content for your projects. Automates web crawling and data scraping, making sure access to fresh, relevant content for your projects. Pixels MCP: Provides a library of high-quality images, enhancing the visual appeal of your designs. Provides a library of high-quality images, enhancing the visual appeal of your designs. 21st Dev MCP: Offers pre-designed components, simplifying the design process and saving valuable time. Offers pre-designed components, simplifying the design process and saving valuable time. Neon DB and Superbase: Deliver robust, serverless database solutions, streamlining backend development. These tools not only simplify technical tasks but also ensure your projects are visually engaging and functionally robust. By integrating these plugins into your workflow, you can focus on innovation and creativity while maintaining high standards of quality. Vibe Scraping with Cursor AI Watch this video on YouTube. Dive deeper into automated scraping with other articles and guides we have written below. Advanced Features for Comprehensive Development Cursor AI goes beyond basic automation by offering advanced features tailored for complex development projects. For instance, background agents enable you to multitask effectively by running multiple processes in parallel. This allows you to manage several codebases within a single workspace, making sure seamless integration between frontend and backend components. Additionally, the 'Max Mode' feature unlocks extended model capabilities, making it easier to handle large-scale projects with intricate requirements. These advanced functionalities provide the flexibility needed to tackle diverse challenges, whether you're working on small-scale websites or enterprise-level applications. Practical Applications of Cursor AI and MCPs The versatility of Cursor AI and its MCPs makes them suitable for a wide range of real-world applications. Here are some examples of how these tools can be used effectively: Quickly create landing pages or blogs by integrating scraped content, saving time on manual data entry. Develop custom CMS solutions or integrate them with platforms like WordPress or Strapi for enhanced functionality. Optimize website designs for high conversion rates, making sure a balance between aesthetics and usability. These practical applications demonstrate how Cursor AI can help you deliver professional-grade results across various project types. By using its capabilities, you can meet both creative and technical goals with greater efficiency. Getting Started with Cursor AI and MCPs Setting up Cursor AI and its Model Control Plugins is a straightforward process, even for those new to the platform. Here's how you can get started with some of the key plugins: Bright Data MCP: Configure an API token and set up a web unlocker to enable secure and efficient content scraping. Configure an API token and set up a web unlocker to enable secure and efficient content scraping. Pixels MCP: Install and integrate the plugin to access a curated library of high-quality images for your projects. Install and integrate the plugin to access a curated library of high-quality images for your projects. 21st Dev MCP: Import pre-designed components to simplify the design process and accelerate development. Import pre-designed components to simplify the design process and accelerate development. Neon DB and Superbase: Set up serverless databases to streamline backend operations and ensure scalability. These step-by-step configurations allow you to fully use the potential of Cursor AI and its plugins without unnecessary complications. By following these guidelines, you can quickly integrate these tools into your workflow and start reaping their benefits. Recent Innovations in Cursor AI Cursor AI continues to evolve, introducing new features and enhancements to its MCP ecosystem. The 'Max Mode' feature now enables developers to unlock the full potential of the model, making it ideal for tackling larger, more complex projects. Background agents have been upgraded to support cloud-based task execution, further improving efficiency and scalability. Additionally, the platform's ability to handle multiple codebases within a single workspace ensures a more organized and streamlined development process. These updates reflect Cursor AI's commitment to providing innovative tools that meet the evolving needs of developers. Empowering Developers with Cursor AI Cursor AI and its Model Control Plugins represent a significant advancement in web development technology. By automating repetitive tasks, offering advanced design tools, and simplifying backend setup, these solutions empower developers to create high-quality websites and applications with greater efficiency. Whether you're an experienced developer or just starting your journey, these tools provide the flexibility and functionality needed to bring your projects to life effectively. With Cursor AI, you can focus on innovation and creativity, confident in the knowledge that the technical aspects of your work are in capable hands. Media Credit: Rob Shocks Filed Under: AI, Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
