Latest news with #MCPServer
Techday NZ
21 hours ago
- Business
- Techday NZ
Varonis unveils MCP Server for AI-driven data security tasks
Varonis has announced support for the Model Context Protocol (MCP) Server, enabling customers to integrate AI tools such as ChatGPT, Claude, and GitHub Copilot with its data security platform. AI integration capability The release of the Varonis MCP Server allows users to access and orchestrate the Varonis Data Security Platform using artificial intelligence (AI) clients. Through this capability, customers can extract insights and automate data security tasks by issuing natural language prompts through their preferred AI tools and development environments. According to Varonis, the MCP Server is designed to function as an AI-agnostic engine, translating simple user instructions into actionable, automated outcomes within the platform. The system can accommodate prompts such as retrieving high-severity security alerts, automating remediation processes to address stale guest accounts, or compiling compliance reports on databases containing sensitive employee information across cloud platforms. Automation focus Yaki Faitelson, Co-Founder and Chief Executive Officer of Varonis, emphasised the centrality of automation to the company's approach. Faitelson stated, "Automation is at the heart of everything we do. The Varonis MCP Server marks another leap forward in our agentic AI vision — giving our customers access to Varonis' real-time data security insights and automated remediation from their own AI tools, IDEs, agent builders, and terminals." With this offering, Varonis aims to provide customers the flexibility to use their AI technologies of choice, while leveraging the central data security capabilities of its platform. The compatibility with various AI clients is intended to allow integration into diverse workflows and organisational environments. Supporting features and vision Varonis has previously embedded Athena AI within its user interface, and has incorporated agentic AI across automated features of its Data Security Platform — strategies seen by the company as key to advancing AI-powered data protection. These capabilities, the company suggests, improve the ability of organisations to counter data breaches and manage compliance more efficiently. The company indicates that the MCP Server encapsulates the next stage of development for artificial intelligence within its ecosystem, enhancing the precision and automation of security outcomes through accessible, user-driven prompts. Platform uses and outcomes The Varonis Data Security Platform is deployed by thousands of organisations worldwide, according to company statements. Clients utilise the system for tasks such as data security posture management, data classification, data access governance, data detection and response, data loss prevention, AI security, identity protection, and insider risk management. Varonis reports that the combination of MCP Server capabilities and its AI-driven features is designed to strengthen its customers' capacity to protect sensitive information across environments ranging from software-as-a-service (SaaS) and infrastructure-as-a-service (IaaS) to hybrid cloud implementations. No pricing or detailed rollout information for the MCP Server was provided. Customers can now access the service, though specifics on the trial process or availability in various markets were not mentioned.
Techday NZ
29-05-2025
- Business
- Techday NZ
Kurrent unveils open-source MCP Server for AI-driven databases
Kurrent has released its open-source MCP Server for KurrentDB, enabling developers to interact with data in the KurrentDB database using natural language and AI agents rather than traditional coding methods. The Kurrent MCP Server offers new functionalities, allowing developers not only to query data but also to create, test, and debug projections directly through conversational commands. This feature is not available in other MCP server implementations, establishing a novel approach to database interaction by integrating AI-driven workflows into the database layer. Central to this release is the introduction of a self-correcting engine, which assists in automatically identifying and fixing logic errors during the prototyping phase. This reduces the need for manual debugging loops, streamlining the development process significantly for users building or modifying projections. The software is fully open-source and released under the MIT license, with documentation and a development roadmap available on GitHub. This permits both enterprise users and open-source contributors to adopt, customise, and improve the KurrentDB MCP Server without licensing restrictions. Kurrent MCP Server supports natural language prompts for tasks such as reading streams, listing streams within the database, building and updating projections, writing events to streams, and retrieving projection status for debugging. These capabilities aim to make the visual and analytical exploration of data more accessible and conversational for users with varying levels of technical expertise. The MCP Server is compatible with a broad range of frontier AI models, such as Claude, GPT-4, and Gemini. It can be integrated with popular IDEs and agent frameworks, including Cursor and Windsurf. This compatibility enables developers to leverage their preferred tools while reducing friction points typically associated with traditional database interactions. Addressing the new approach, Kirk Dunn, CEO of Kurrent, said, "Our new MCP Server makes it possible to use the main features of the KurrentDB database, like reading and writing events to streams and using projections, in a way that's as simple as having a conversation. The system's ability to test and fix itself reduces the need for debugging and increases reliability. Copilots and AI assistants become productive database partners rather than just code generators, seamlessly interfacing with KurrentDB." The server's key functions are designed to reduce development times for database tasks, enabling a focus on higher-value project work. Eight core capabilities are available, including Read_stream, List_streams, Build_projection, Create_projection, Update_projection, Test_projection, Write_events_to_stream, and Get_projections_status. Each of these responds directly to natural language instructions provided by the developer or AI agent. Kurrent has highlighted opportunities for the open source community to participate in the MCP Server's ongoing development. Developers can contribute code, report or tackle issues, and suggest new features through the project's GitHub repository and discussion forums. Comprehensive educational resources and installation guides are intended to help developers quickly integrate the MCP Server with KurrentDB for various use cases. Lokhesh Ujhoodha, Lead Architect at Kurrent, commented, "Before, database interactions required developers to master complex query languages, understand intricate data structures, and spend significant time debugging projections and data flows. Now, everything agentic can interface with KurrentDB through this MCP Server. We're not just connecting to today's AI tools, but we're positioning for a future where AI agents autonomously manage data workflows, make analytical decisions and create business insights with minimal human intervention." Kurrent emphasises that its MCP Server aims to remove barriers historically associated with database development by supporting conversational, agent-driven workflows. This aligns with broader trends towards AI-native infrastructure in enterprise environments, where human and algorithmic agents increasingly collaborate to deliver data-driven business outcomes.
Yahoo
28-05-2025
- Business
- Yahoo
Kurrent's Open Source MCP Server Makes KurrentDB AI Ready
Lets developers use frontier models, IDEs and AI tools with MCP support for natural language driven database interactions, speeding core application development tasks from hours to minutes SAN FRANCISCO, May 28, 2025--(BUSINESS WIRE)--Event-native data platform innovator Kurrent today announced the launch of the open source KurrentDB MCP Server, which makes it possible for developers to use AI agents to interact with data inside KurrentDB without writing code. Users can now not only read and write events to the database but also create, test and debug projections or extend the available prompts to prototype applications using natural language. This is a capability exclusive to Kurrent that eliminates the traditional learning curve for database interactions. Unlike traditional database tools that require manual debugging, Kurrent MCP Server features self-correction when prototyping, allowing developers to test projection logic and help debug issues through conversational commands. Compatible with all frontier AI models and released under MIT license for community contribution and enterprise adoption without licensing restriction, Kurrent's MCP Server makes development tasks that previously required hours of coding and corrections achievable in minutes. "Our new MCP Server makes it possible to use the main features of the KurrentDB database, like reading and writing events to streams and using projections, in a way that's as simple as having a conversation," said Kirk Dunn, CEO at Kurrent. "The system's ability to test and fix itself reduces the need for debugging and increases reliability. Copilots and AI assistants become productive database partners rather than just code generators, seamlessly interfacing with KurrentDB." Less Time Coding, More Time Innovating The Kurrent MCP Server is compatible with every frontier model including Claude, GPT-4 and Gemini, and can be used with Cursor, Windsurf and other MCP-supported IDEs, clients and agent frameworks. It offers eight core capabilities that respond to natural language prompts, eliminating traditional database interaction friction points: Read_stream: Read specific information based on prompts List_streams: List streams inside the database Build_projection: Write code for a projection based on context and prompt Create_projection: Creates projections in a running KurrentDB instance Update_projection: Modify the code for the projection as required Test_projection: Write events and read output and state to test the projection logic Write_events_to_stream: Write specific events based on prompts Get_projections_status: Get the status of a particular projection, in order to help with debugging projections These features make visual and analytical exploration conversational and intuitive. Kurrent MCP Server's unique self-correction capability also sets it apart, making prototyping projections much easier and faster. Community-Driven Innovation via Open Source Initiative Kurrent MCP Server is immediately available as an open-source download. Kurrent encourages community participation through multiple channels: Contribution opportunities: Developers can tackle "good-first" issues and make bug reports or feature requests through GitHub repository Feature development: Community feedback directly influences roadmap priorities through GitHub discussions Educational resources: Comprehensive installation guides and documentation support assist developers to quickly integrate and customize the Kurrent MCP Server for their specific use cases "Before, database interactions required developers to master complex query languages, understand intricate data structures, and spend significant time debugging projections and data flows. Now, everything agentic can interface with KurrentDB through this MCP Server," said Lokhesh Ujhoodha, the lead architect at Kurrent behind the MCP Server. "We're not just connecting to today's AI tools, but we're positioning for a future where AI agents autonomously manage data workflows, make analytical decisions and create business insights with minimal human intervention." About Kurrent Kurrent provides an event-native data platform that feeds real-time, business-critical data with historical context in fine-grained streams from origination to destination, enhancing data analytics and AI outcomes. Kurrent is available on AWS, Microsoft Azure and Google Cloud Platform and as an on-premises solution. Headquartered in San Francisco, Kurrent's event-native technology is deployed in high stakes use cases in finance, tech, oil and gas, manufacturing, retail, healthcare, automotive, government and many other industries globally. Context in action.™ Developer Resources GitHub: GitHub Discussions: Kurrent blog: MCP Server Overview Kurrent blog: Adding Prompts to Kurrent MCP Server Resources Kurrent LinkedIn Kurrent X View source version on Contacts Media Contact Kelsey LaBarberaBhava Communications for Kurrentkurrent@ (707) 812-1230
Business Wire
28-05-2025
- Business
- Business Wire
Kurrent's Open Source MCP Server Makes KurrentDB AI Ready
SAN FRANCISCO--(BUSINESS WIRE)--Event-native data platform innovator Kurrent today announced the launch of the open source KurrentDB MCP Server, which makes it possible for developers to use AI agents to interact with data inside KurrentDB without writing code. Users can now not only read and write events to the database but also create, test and debug projections or extend the available prompts to prototype applications using natural language. This is a capability exclusive to Kurrent that eliminates the traditional learning curve for database interactions. Unlike traditional database tools that require manual debugging, Kurrent MCP Server features self-correction when prototyping, allowing developers to test projection logic and help debug issues through conversational commands. Compatible with all frontier AI models and released under MIT license for community contribution and enterprise adoption without licensing restriction, Kurrent's MCP Server makes development tasks that previously required hours of coding and corrections achievable in minutes. 'Our new MCP Server makes it possible to use the main features of the KurrentDB database, like reading and writing events to streams and using projections, in a way that's as simple as having a conversation,' said Kirk Dunn, CEO at Kurrent. 'The system's ability to test and fix itself reduces the need for debugging and increases reliability. Copilots and AI assistants become productive database partners rather than just code generators, seamlessly interfacing with KurrentDB.' Less Time Coding, More Time Innovating The Kurrent MCP Server is compatible with every frontier model including Claude, GPT-4 and Gemini, and can be used with Cursor, Windsurf and other MCP-supported IDEs, clients and agent frameworks. It offers eight core capabilities that respond to natural language prompts, eliminating traditional database interaction friction points: These features make visual and analytical exploration conversational and intuitive. Kurrent MCP Server's unique self-correction capability also sets it apart, making prototyping projections much easier and faster. Community-Driven Innovation via Open Source Initiative Kurrent MCP Server is immediately available as an open-source download. Kurrent encourages community participation through multiple channels: Contribution opportunitie s: Developers can tackle 'good-first' issues and make bug reports or feature requests through GitHub repository Feature development: Community feedback directly influences roadmap priorities through GitHub discussions Educational resource s: Comprehensive installation guides and documentation support assist developers to quickly integrate and customize the Kurrent MCP Server for their specific use cases 'Before, database interactions required developers to master complex query languages, understand intricate data structures, and spend significant time debugging projections and data flows. Now, everything agentic can interface with KurrentDB through this MCP Server,' said Lokhesh Ujhoodha, the lead architect at Kurrent behind the MCP Server. 'We're not just connecting to today's AI tools, but we're positioning for a future where AI agents autonomously manage data workflows, make analytical decisions and create business insights with minimal human intervention.' About Kurrent Kurrent provides an event-native data platform that feeds real-time, business-critical data with historical context in fine-grained streams from origination to destination, enhancing data analytics and AI outcomes. Kurrent is available on AWS, Microsoft Azure and Google Cloud Platform and as an on-premises solution. Headquartered in San Francisco, Kurrent's event-native technology is deployed in high stakes use cases in finance, tech, oil and gas, manufacturing, retail, healthcare, automotive, government and many other industries globally. Context in action.™ Developer Resources Resources Kurrent LinkedIn Kurrent X
Yahoo
28-05-2025
- Business
- Yahoo
Kurrent's Open Source MCP Server Makes KurrentDB AI Ready
Lets developers use frontier models, IDEs and AI tools with MCP support for natural language driven database interactions, speeding core application development tasks from hours to minutes SAN FRANCISCO, May 28, 2025--(BUSINESS WIRE)--Event-native data platform innovator Kurrent today announced the launch of the open source KurrentDB MCP Server, which makes it possible for developers to use AI agents to interact with data inside KurrentDB without writing code. Users can now not only read and write events to the database but also create, test and debug projections or extend the available prompts to prototype applications using natural language. This is a capability exclusive to Kurrent that eliminates the traditional learning curve for database interactions. Unlike traditional database tools that require manual debugging, Kurrent MCP Server features self-correction when prototyping, allowing developers to test projection logic and help debug issues through conversational commands. Compatible with all frontier AI models and released under MIT license for community contribution and enterprise adoption without licensing restriction, Kurrent's MCP Server makes development tasks that previously required hours of coding and corrections achievable in minutes. "Our new MCP Server makes it possible to use the main features of the KurrentDB database, like reading and writing events to streams and using projections, in a way that's as simple as having a conversation," said Kirk Dunn, CEO at Kurrent. "The system's ability to test and fix itself reduces the need for debugging and increases reliability. Copilots and AI assistants become productive database partners rather than just code generators, seamlessly interfacing with KurrentDB." Less Time Coding, More Time Innovating The Kurrent MCP Server is compatible with every frontier model including Claude, GPT-4 and Gemini, and can be used with Cursor, Windsurf and other MCP-supported IDEs, clients and agent frameworks. It offers eight core capabilities that respond to natural language prompts, eliminating traditional database interaction friction points: Read_stream: Read specific information based on prompts List_streams: List streams inside the database Build_projection: Write code for a projection based on context and prompt Create_projection: Creates projections in a running KurrentDB instance Update_projection: Modify the code for the projection as required Test_projection: Write events and read output and state to test the projection logic Write_events_to_stream: Write specific events based on prompts Get_projections_status: Get the status of a particular projection, in order to help with debugging projections These features make visual and analytical exploration conversational and intuitive. Kurrent MCP Server's unique self-correction capability also sets it apart, making prototyping projections much easier and faster. Community-Driven Innovation via Open Source Initiative Kurrent MCP Server is immediately available as an open-source download. Kurrent encourages community participation through multiple channels: Contribution opportunities: Developers can tackle "good-first" issues and make bug reports or feature requests through GitHub repository Feature development: Community feedback directly influences roadmap priorities through GitHub discussions Educational resources: Comprehensive installation guides and documentation support assist developers to quickly integrate and customize the Kurrent MCP Server for their specific use cases "Before, database interactions required developers to master complex query languages, understand intricate data structures, and spend significant time debugging projections and data flows. Now, everything agentic can interface with KurrentDB through this MCP Server," said Lokhesh Ujhoodha, the lead architect at Kurrent behind the MCP Server. "We're not just connecting to today's AI tools, but we're positioning for a future where AI agents autonomously manage data workflows, make analytical decisions and create business insights with minimal human intervention." About Kurrent Kurrent provides an event-native data platform that feeds real-time, business-critical data with historical context in fine-grained streams from origination to destination, enhancing data analytics and AI outcomes. Kurrent is available on AWS, Microsoft Azure and Google Cloud Platform and as an on-premises solution. Headquartered in San Francisco, Kurrent's event-native technology is deployed in high stakes use cases in finance, tech, oil and gas, manufacturing, retail, healthcare, automotive, government and many other industries globally. Context in action.™ Developer Resources GitHub: GitHub Discussions: Kurrent blog: MCP Server Overview Kurrent blog: Adding Prompts to Kurrent MCP Server Resources Kurrent LinkedIn Kurrent X View source version on Contacts Media Contact Kelsey LaBarberaBhava Communications for Kurrentkurrent@ (707) 812-1230 Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
