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Latest news with #MCPServer

Asana bug in new AI feature may have exposed data to other users for weeks
Asana bug in new AI feature may have exposed data to other users for weeks

Yahoo

time2 days ago

  • Business
  • Yahoo

Asana bug in new AI feature may have exposed data to other users for weeks

A bug in one of Asana's new AI features made user information accessible to other users for several weeks. The company said the issue was resolved and it was not the result of a malicious hack. Instead, it appeared to be a logic flaw in its MCP (Model Context Protocol) server that was released on May 1, according to cybersecurity firm UpGuard (via BleepingComputer). MCP is an open-source framework that enables AI assistants to interact with sites and apps. The introduction of Asana's MCP Server enabled companies to integrate AI features like summarization and natural language search from LLMs. SEE ALSO: 'Your Year in Asana' is a reminder of all the work you did (or didn't do) The rise of generative AI tools and new standards that enable interoperability for LLMs create new privacy issues and increased cybersecurity risk. MCP servers are a shiny new target for hackers, and there's also risk of prompt injection attacks, token theft, and a general increase in data leaks since MCPs request broad permission to function smoothly, according to a blog post from cybersecurity firm Pillar. According to UpGuard, the bug "appears to have been part of this initial release," and was discovered by Asana on June 4. But during this time, Asana users working with the MCP server have been able to access information from other accounts' "projects, teams, tasks, and other Asana objects," according to an email reportedly sent to customers impacted. In a statement to BleepingComputer, Asana said the bug impacted around 1,000 accounts. Asana has more than 130,000 companies using its project management platform, including some big companies like Uber, Spotify, and Airbnb. (Disclosure: Mashable's editorial team also uses Asana.) Asana took the server offline and informed customers using the MCP server on June 16 about the bug. "As soon as the vulnerability was discovered, our teams immediately took the MCP server down and resolved the issue in our code," Asana said in its statement to BleepingComputer. Meanwhile, the company sent a contact form to customers potentially impacted to compile a full report of which companies may have had their data exposed. It's unclear yet if there was any major data breach, but Asana advised companies to review their logs for MCP access and any information generated by their AI tools and report it to Asana if they find any data that doesn't belong to their company. UPDATE: Jun. 18, 2025, 1:50 p.m. EDT Asana confirmed in a status update that the affected server was back online as of June 17.

The Secret Weapon Developers Are Using to Simplify AI Projects : Claude Code and Context7
The Secret Weapon Developers Are Using to Simplify AI Projects : Claude Code and Context7

Geeky Gadgets

time3 days ago

  • Geeky Gadgets

The Secret Weapon Developers Are Using to Simplify AI Projects : Claude Code and Context7

What if the most tedious parts of coding—digging through outdated documentation, wrestling with API integrations, or manually updating frameworks—could be handled for you? Enter the Claude Code Context7 MCP Server, a new tool that's reshaping how developers approach AI projects. Imagine having a centralized hub with instant access to nearly 20,000 libraries, seamlessly integrated into your workflow. This isn't just a productivity boost; it's a paradigm shift. For developers juggling complex integrations or striving to stay ahead in the fast-evolving AI landscape, the Context7 MCP server promises to eliminate inefficiencies and let you focus on what truly matters: innovation. In this piece, All About AI explore how the Context7 MCP server is transforming AI development from the ground up. You'll discover how its centralized documentation repository, effortless integration with tools like Cloud Code, and advanced automation features can streamline your workflow in ways you didn't think possible. Whether you're tackling API-heavy projects or managing intricate codebases, this server offers a level of precision and ease that feels almost futuristic. But how does it achieve this, and what makes it a true game changer? Let's unpack the features and real-world applications that set it apart, and consider how it might redefine the way you code. Transforming AI Development Workflows The Importance of Centralized Documentation At the core of the Context7 MCP server lies its centralized documentation repository, which hosts an extensive collection of nearly 20,000 libraries. This comprehensive resource ensures you have instant access to up-to-date materials for tools such as OpenAI, Stripe, and Pyantic AI. Instead of navigating through multiple sources, you can find everything you need in one place, saving valuable time and reducing frustration. For example, when integrating Stripe webhooks, the server allows you to quickly locate precise documentation, making sure your implementation is both accurate and efficient. This centralized approach eliminates guesswork, allowing developers to focus on creating robust solutions. Effortless Integration with Development Tools The Context7 MCP server is engineered to integrate effortlessly with widely used development tools, including Cloud Code and other AI coding platforms. Its compatibility with remote server connections and slash command documentation ensures you can manage projects across diverse environments without interruptions. By embedding documentation access directly into your workflow, the server minimizes distractions and keeps you focused on critical development tasks. This seamless integration not only enhances productivity but also ensures that your projects remain aligned with industry standards. Claude Code Context7 MCP Server Overview Watch this video on YouTube. Discover other guides from our vast content that could be of interest on AI coding. Enhancing Workflow Automation One of the most powerful features of the Context7 MCP server is its ability to automate repetitive tasks, significantly improving workflow efficiency. It enables you to compile documentation into markdown files, verify code integrations, and update project frameworks with minimal effort. For instance, if you're developing an AI-powered video course platform, the server can handle tasks such as theme updates and framework checks, freeing you to concentrate on innovation and content creation. By automating these time-consuming processes, the server allows you to allocate more energy to strategic development. Streamlining API Calls and Integration Processes The server simplifies the often intricate process of API calls and integration setups. By providing clear and concise documentation, it reduces the risk of errors and accelerates development timelines. Additionally, it helps identify outdated code or missing features, making sure your projects remain functional and up-to-date. Whether you're incorporating OpenAI's capabilities or integrating Stripe into your project, the server makes these processes more intuitive and efficient. This streamlined approach not only saves time but also enhances the overall quality of your work. Customizable and Targeted Documentation Access Flexibility is a standout feature of the Context7 MCP server. It allows you to perform topic-specific searches, narrowing down documentation to meet your exact requirements. This capability is particularly valuable for specialized projects where precision is paramount. Additionally, the server supports manual copying and pasting of documentation, offering a hands-on option for developers who prefer direct control over their resources. This customizable access ensures that you can tailor the server's functionality to suit your unique development needs. Real-World Applications in AI Development The practical benefits of the Context7 MCP server are evident in its real-world applications. For example, it has played a pivotal role in the development and maintenance of AI-powered video course platforms. By automating essential tasks and making sure seamless integration with development tools, the server enables developers to focus on delivering high-quality solutions. This reduces the burden of administrative tasks, allowing for greater emphasis on innovation and creativity. The server's impact extends beyond individual projects, contributing to the broader advancement of AI development. Free Access and Continuous Updates The Context7 MCP server is currently available free of charge, making it an accessible resource for developers at all levels. Regular updates ensure that its documentation repositories remain current and relevant, aligning your projects with the latest industry standards and best practices. This commitment to continuous improvement makes the server a reliable and forward-thinking tool for AI developers. By staying up-to-date with evolving technologies, the server enables you to maintain a competitive edge in the fast-paced world of AI development. Media Credit: All About AI Filed Under: AI, Top News 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.

Cloudinary unveils MCP Server for easier AI-powered image tasks
Cloudinary unveils MCP Server for easier AI-powered image tasks

Techday NZ

time4 days ago

  • Business
  • Techday NZ

Cloudinary unveils MCP Server for easier AI-powered image tasks

Cloudinary has introduced its Model Context Protocol (MCP) Server, aiming to simplify the creation and management of images and video for online channels for users in both coding and non-coding roles. The MCP Server is now available to all Cloudinary users, including those utilising the free plan. Through its integration with large language models (LLMs) such as Claude and Cursor, and compatibility with AI-platform Base44, the MCP Server enables these systems to interact with Cloudinary's image and video APIs using natural language, removing the requirement for manual coding. For developers and non-technical users Cloudinary's MCP Server targets three main user groups: developers working on complex visual media workflows for multi-channel or multi-country campaigns, non-technical app builders who wish to automate tasks such as image resizing and tagging, and general users who want to manage images and video assets without writing code. In addition to the MCP Server, Cloudinary has released AI-ready documentation that provides LLMs with comprehensive information on the platform's APIs. This resource allows both developers and non-technical builders to access and leverage Cloudinary's capabilities quickly and with greater confidence, whether they are orchestrating advanced workflows or preparing assets for various online channels. Cloudinary's integration with Base44 aims to support builders who want to incorporate Cloudinary's media transformation, optimisation, and delivery tools into their agent-driven workflows. This integration is intended to facilitate more streamlined development of visual-rich, scalable applications within agent-based environments. Toolset and workflow automation By utilising the combination of the new MCP Server and AI-ready documentation, users can gain access to a broad set of Cloudinary's features. This includes routine yet essential tasks such as bulk tagging, batch cropping, resizing, and overlaying images and video. Cloudinary states that these automated capabilities are designed to increase accuracy in media transformations while reducing the risk of model errors, often referred to as 'hallucinations' in AI workflows. Through natural language interactions with LLMs, users can now connect with Cloudinary's APIs to complete such tasks without requiring additional integrations or coding expertise. According to the company, this can assist both technical teams looking to improve efficiency and cross-team collaboration, as well as newcomers to visual asset management aiming to build content-driven applications for digital channels. Company statement "Cloudinary was founded by developers for developers and MCP Server is just our latest commitment to ensuring developers and builders of all kinds have the tools they need to build the visual-first experiences and apps they dream about – faster and more easily than ever before," said Tal Lev-Ami, Co-founder and CTO, Cloudinary. "This new era of LLM-powered code generation underscores the importance of open, API-first platforms and tools designed to empower users to build within flexible yet trusted frameworks and models." The company underscores its long-standing use of AI-driven development. Having integrated AI technologies since its inception, Cloudinary has supported businesses and developers in automating visual media processes to help ensure fast and tailored digital experiences for their audiences. Over the past year, the company has released multiple AI-based tools and enhancements, such as AI Vision and generative features like Generative Fill and Generative Upscale. Community and access Cloudinary is encouraging users to join its community and display their projects with the #BuiltWithCloudinary tag. The company also announced an MCP Server Challenge for developers and builders taking place this summer. All Cloudinary users will be invited to participate and will have the opportunity to win prizes. The Cloudinary MCP Server is accessible to all developers and builders, and can be used with any Cloudinary account, including free plans.

Cloudinary Introduces Cloudinary Model Context Protocol (MCP) Server and AI-ready Documentation
Cloudinary Introduces Cloudinary Model Context Protocol (MCP) Server and AI-ready Documentation

Business Wire

time4 days ago

  • Business
  • Business Wire

Cloudinary Introduces Cloudinary Model Context Protocol (MCP) Server and AI-ready Documentation

SAN JOSE, Calif.--(BUSINESS WIRE)-- Cloudinary, the image and video platform that powers many of the world's top brands, today announced the Cloudinary Model Context Protocol (MCP) Server, AI-ready documentation and a new integration with Base44. The MCP Server allows AI agents and LLMs like Base44, Claude, Cursor and others to easily interact with Cloudinary's image and video APIs and award-winning documentation using natural language. This enables developers and builders alike to turn time-consuming yet business-critical work into lightning fast builds and actions, accelerating development time from days or weeks to minutes. The company's AI-ready documentation feeds LLMs with an authoritative source on what Cloudinary's APIs can enable and allows developers to build quickly and with confidence. This also offers builders access to Cloudinary without necessarily having to write a single line of code. Using their preferred LLMs, developers and no-code builders can manage their visual media, orchestrate advanced workflows, and prepare assets for relevant channels. The combination of the Cloudinary Server and its AI-ready documentation provides access to a wide range of Cloudinary's capabilities, enabling users to simplify a variety of image- and video-related tasks such as bulk tagging and organizing and batch cropping, resizing, and overlaying. What's more, Cloudinary supports the creation of very accurate transformations while minimizing the risk of hallucinations. Whether it's a developer looking to streamline complex media workflows or improve cross-team collaboration, or a non-technical builder new to visual asset management building an app or visual-rich experience, Cloudinary provides the intelligence to work smarter and more efficiently without coding or the need for additional integrations. Cloudinary's Base44 integration empowers builders using Base44 with seamless access to Cloudinary's media transformations, optimization, and delivery tools directly within their agent-driven workflows, enabling faster, more visual, and scalable application development. 'Cloudinary was founded by developers for developers and MCP Server is just our latest commitment to ensuring developers and builders have the tools they need to build the visual-first experiences and apps they dream about – faster and more easily than ever before,' said Tal Lev-Ami, Co-founder and CTO, Cloudinary. 'This new era of LLM-powered code generation underscores the importance of open, API-first platforms and tools designed to empower users to build within flexible yet trusted frameworks and models.' AI-powered development since day one API-first and trusted by millions of developers and creators worldwide, Cloudinary has been AI-powered since its inception. For more than a decade, Cloudinary has empowered developers and brands to automate business-critical visual media tasks to ensure their visual-first experiences are fast, flawless and relevant no matter where or how audiences are engaged. In the last 12 months, Cloudinary has launched dozens of AI tools and enhancements including AI Vision and generative AI tools including Generative Fill and Generative Upscale. Builders are encouraged to join the Cloudinary community and show off their projects with the #BuiltWithCloudinary tag. This summer, Cloudinary will host an MCP Server Challenge for developers and builders. All Cloudinary users will be invited to participate and eligible to win prizes. The Cloudinary MCP Server is available to all developers and builders and can be accessed via any Cloudinary account or plan, including Cloudinary's free plan. Learn more in today's blog and by visiting the Cloudinary website, and start building today. About Cloudinary Cloudinary is the image and video platform that enables the world's most engaging brands to deliver transformative visual experiences at a global scale. More than two million users and 10,000 customers, including Adidas, Bleacher Report, Etsy, Fiverr, Grubhub, Minted and Paul Smith rely on Cloudinary to bring their campaigns, apps and sites to life. Backed by an ecosystem of more than 300 partners, integrations and plug-ins, Cloudinary's AI-powered image and video solutions offer a single source of truth for brands to manage, transform, optimize, and deliver engaging visual content to anyone, anywhere. As a result, brands across all industries are seeing up to a 203% ROI with benefits including faster time to market, higher user satisfaction and increased engagement and conversions. For more information, visit

PubNub Evolves Its Platform with AI-Native Development, Real-Time Moderation, and Decision Intelligence
PubNub Evolves Its Platform with AI-Native Development, Real-Time Moderation, and Decision Intelligence

Business Wire

time11-06-2025

  • Business
  • Business Wire

PubNub Evolves Its Platform with AI-Native Development, Real-Time Moderation, and Decision Intelligence

SAN FRANCISCO--(BUSINESS WIRE)--PubNub, the leader in real-time interactive apps, unveiled the next evolution of its platform. It introduces AI-native development, real-time decision intelligence, and in-network content moderation to help developers build and scale faster while simplifying access to PubNub's full power. 'The world expects real-time, intelligent experiences,' said Todd Greene, CEO, PubNub. 'Our evolved platform brings AI, analytics, and moderation into the developer workflow, enabling safer, smarter apps with lower latency and greater impact.' Share The updates enable developers to build rich, real-time experiences like multiplayer games, collaborative tools, and healthcare apps with greater speed and control. 'The world expects real-time, intelligent experiences,' said Todd Greene, CEO, PubNub. 'Our evolved platform brings AI, analytics, and moderation into the developer workflow, enabling safer, smarter apps with lower latency and greater impact.' New Capabilities That Redefine Real-Time: Generative AI Coding with MCP Server PubNub's new Model Context Protocol (MCP) Server connects large language models (LLMs) like those in AI-powered IDEs (e.g., Cursor, Windsurf) directly to live SDK knowledge. Developers can generate real-time features like chat, presence, or sync with a single prompt, without leaving their editor or searching documentation. AI-Powered Auto-Moderation BizOps Workspace offers built-in content filtering that runs in-cluster before messages are delivered to users. This serverless module scans messages for profanity, abuse, and spam in sub-500ms, with no external setup. Developers can apply preset rules or connect third-party tools, all from a no-code interface with no backend work. Decision Intelligence with PubNub Illuminate & Insights PubNub's decisioning tools let teams monitor and optimize live applications with no-code dashboards, real-time anomaly detection, and automation rules. Product and engineering teams can optimize user flows, test changes, and respond to real-time behavior without redeploying. 'We're closing the gap between ideation and execution,' said Stephen Blum, CTO, PubNub. 'With generative coding, real-time decision engines, and in-network moderation, developers can build better apps faster and scale confidently.' Why It Matters Accelerated development: AI tools reduce time-to-feature. Built-in safety: In-network moderation blocks harmful content. Live optimization: Adapt in real time. Enterprise-ready: Sub-100ms latency, 99.999% uptime, and full compliance (HIPAA, SOC 2, GDPR, ISO 27001). About PubNub PubNub powers real-time interactive experiences that drive engagement, retention, and monetization. Our platform enables over 2,000 companies to build, manage, and optimize apps that captivate users. Founded in 2012, PubNub is backed by investors like The Raine Group, Sapphire, Scale, Relay, Cisco, Bosch, Ericsson, and HPE. Start building at

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