Latest news with #MCPServer
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
Business Mayor
18-05-2025
- Business
- Business Mayor
Shiprocket unveils India's first AI-integrated MCP server
IPO-bound Shiprocket, an ecommerce enablement platform, has launched India's first AI-integrated model context protocol server, marking a significant step in autonomous digital commerce. This server allows AI agents to directly handle key operations from checking shipping rates to tracking orders using a single line of instruction, the company said in a statement. The innovation is targeted at D2C brands and MSMEs, promising faster execution, seamless integration, and hands-free operations with enterprise-grade security. With this rollout, Shiprocket aims to shift from manual processes to fully autonomous commerce infrastructure, it added. 'Our MCP Server launch marks a transformative shift from manual workflows to autonomous operations powered by AI. This is how we enable millions of businesses to work smarter, respond faster, and scale effortlessly. 'This is more than just an integration, it's a new interface for eCommerce. We're enabling a world where AI doesn't just support business decisions, it executes them,' Shiprocket's MD & CEO Saahil Goel said. READ SOURCE
