Kong Releases Insomnia 12 for AI-Powered API Development
The newest model of Insomnia permits customers to construct, check, and deploy quicker with native MCP purchasers, AI mock servers, and AI-powered commit recommendations
Kong Inc., a number one developer of cloud API and AI applied sciences, introduced immediately the final availability of Insomnia 12, the open supply API improvement platform that unifies designing, mocking, debugging, and testing APIs. The new launch focuses on making Insomnia smarter, quicker, and extra accessible for builders constructing APIs and Model Context Protocol (MCP) servers with native MCP purchasers, AI mock servers, and AI-powered commit recommendations.
As agentic AI adoption grows, builders constructing MCP servers face challenges comparable to people who API builders solved years in the past: the way to validate and check what they’re constructing rapidly and reliably with out advanced setups. The newest model of Insomnia addresses these challenges by extending the platform’s acquainted test-iterate-debug workflow to AI-native improvement, whereas introducing AI-driven options that cut back guide overhead and velocity up improvement.
“With MCP rising as the brand new normal for how AI brokers talk, builders want a dependable option to check, debug, and govern this new protocol. Insomnia 12 addresses this want by extending the identical developer-friendly workflows we’ve constructed for APIs to the AI-native world,” mentioned Marco (*12*), CTO and Co-Founder, Kong Inc. “We’re empowering organizations to speed up agentic AI infrastructure improvement with built-in confidence, collaboration, and scalability.”
Key capabilities in Insomnia 12 embody:
- Native MCP Clients: Test and debug MCP servers with the identical acquainted test-iterate-debug workflow used for APIs. Connect on to servers, manually invoke any device, immediate or useful resource with customized parameters, and examine protocol-level and authentication messages and responses, bringing collaboration and confidence to AI-native improvement.
- AI Mock Generation: Instantly create totally practical mock servers by describing your wants in pure language, offering a URL, JSON pattern, or OpenAPI spec. Turn hours of guide setup into seconds and allow quicker, extra environment friendly testing for APIs and MCP servers, remodeling mock servers from a nice-to-have into a vital a part of a developer’s workflow.
- AI-Powered Commits: Automatically generate clear, descriptive commit messages and logical file groupings by analyzing your diffs and historical past, serving to groups keep a clear Git historical past, streamline collaboration, and keep centered on constructing.
- Stronger AI Compliance: Choose between cloud-based suppliers or a neighborhood massive language mannequin (LLM), giving groups full management over the place their code and knowledge reside whereas balancing efficiency and privateness wants.
- Seamless Team Collaboration: Insomnia 12 makes it simpler than ever for groups to collaborate on API and MCP improvement. Git Sync gives seamless model management and cross-machine collaboration, whereas enterprise customers can immediately trial superior safety, governance, and compliance options similar to SCIM, SSO, and RBAC.
Insomnia 12 is now typically accessible, for extra details about Insomnia, go to: https://konghq.com/merchandise/kong-insomnia
The submit Kong Releases Insomnia 12 for AI-Powered API Development first appeared on AI-Tech Park.
