Kong Inc. has announced the availability of Insomnia 12, its open-source API development platform designed to streamline the design, mocking, debugging, and testing of APIs.
This new release prominently enhances capabilities for developers working on both APIs and Model Context Protocol (MCP) servers with a range of features that support native MCP clients, AI mock servers, and AI-powered commit suggestions.
Enhancements in Insomnia 12
With the rising adoption of agentic AI, developers tasked with building MCP servers encounter challenges similar to those faced by API developers in the past.
The latest iteration of Insomnia aims to simplify these tasks by extending its user-friendly test-iterate-debug approach to AI-native development. It introduces AI-driven functionalities that minimize manual work and expedite the development process.
Agentic AI Infrastructure
Developers tasked with building MCP servers face challenges similar to those faced by API developers
According to Marco Palladino, CTO and Co-Founder of Kong Inc., "With MCP emerging as the new standard for how AI agents communicate, developers need a reliable way to test, debug, and govern this new protocol. Insomnia 12 addresses this need by extending the same developer-friendly workflows we've built for APIs to the AI-native world."
He added, "We’re empowering organizations to accelerate agentic AI infrastructure development with built-in confidence, collaboration, and scalability."
Notable Features of Insomnia 12
The new version includes several key features aimed at simplifying MCP development:
Native MCP Clients
Developers can now test and debug MCP servers using a familiar workflow, allowing them to connect directly to servers and interact with various tools, prompts, or resources using custom parameters. This integration fosters collaboration and enhances confidence in AI-native development.
AI Mock Generation
Insomnia 12 enables the creation of functional mock servers in seconds by specifying requirements in natural language or through an OpenAPI spec, URL, or JSON sample. This feature turns labor-intensive tasks into quick setups, fostering more efficient testing for both APIs and MCP servers.
AI-Powered Commits
The platform automatically generates informative commit messages by analyzing code differences and history, helping teams maintain organized Git histories, streamline collaboration, and focus on development.
Enhanced AI Compliance
Teams can choose between using cloud-based solutions or a local large language model (LLM), offering control over data and code residency while balancing privacy and performance requirements.
Improved Team Collaboration
Kong Inc. has enhanced collaborative features for API and MCP development in Insomnia 12. Git Sync supports version control and collaboration across devices, while enterprise users can trial advanced security, governance, and compliance features, including SCIM, SSO, and RBAC.
Kong Inc., a pioneering developer of cloud API and AI technologies, announced the general availability of Insomnia 12, the open source API development platform that unifies designing, mocking, debugging, and testing APIs.
The new release focuses on making Insomnia smarter, faster, and more accessible for developers building APIs and Model Context Protocol (MCP) servers with native MCP clients, AI mock servers, and AI-powered commit suggestions.
Latest version of Insomnia
As agentic AI adoption grows, developers building MCP servers face challenges similar to those that API developers solved years ago: how to validate and test what they are building quickly and reliably without complex setups.
The latest version of Insomnia addresses these challenges by extending the platform’s familiar test-iterate-debug workflow to AI-native development, while introducing AI-driven features that reduce manual overhead and speed up development.
Agentic AI infrastructure development
“With MCP emerging as the new standard for how AI agents communicate, developers need a reliable way to test, debug, and govern this new protocol. Insomnia 12 addresses this need by extending the same developer-friendly workflows we’ve built for APIs to the AI-native world,” said Marco Palladino, CTO and Co-Founder, Kong Inc.
“We’re empowering organizations to accelerate agentic AI infrastructure development with built-in confidence, collaboration, and scalability.”
Key capabilities in Insomnia 12
- Native MCP Clients: Test and debug MCP servers with the same familiar test-iterate-debug workflow used for APIs. Connect directly to servers, manually invoke any tool, prompt or resource with custom parameters, and inspect protocol-level and authentication messages and responses, bringing collaboration and confidence to AI-native development.
- AI Mock Generation: Instantly create fully functional mock servers by describing the needs in natural language, providing a URL, JSON sample, or OpenAPI spec. Turn hours of manual setup into seconds and enable faster, more efficient testing for APIs and MCP servers, transforming mock servers from a nice-to-have into an essential part of a developer’s workflow.
- AI-Powered Commits: Automatically generate clear, descriptive commit messages and logical file groupings by analyzing the diffs and history, helping teams maintain a clean Git history, streamline collaboration, and stay focused on building.
- Stronger AI Compliance: Choose between cloud-based providers or a local large language model (LLM), giving teams full control over where their code and data reside while balancing performance and privacy needs.
- Seamless Team Collaboration: Insomnia 12 makes it easier than ever for teams to collaborate on API and MCP development. Git Sync provides seamless version control and cross-machine collaboration, while enterprise users can instantly trial advanced security, governance, and compliance features such as SCIM, SSO, and RBAC.
