Kong links Insomnia 13 with Konnect for API workflow

Kong has integrated Insomnia 13 with Kong Konnect, linking API discovery, testing and deployment in a single workflow.

The integration gives developers direct access in Insomnia to API endpoints managed through Konnect, with endpoint, route and authentication settings automatically synchronised from the platform.

The setup is designed to remove the need to assemble test environments manually or import API specifications from separate sources before beginning work. Using a Kong Konnect Personal Access Token, users can pull available API and AI endpoints and import environment configurations into Insomnia.

Kong is positioning the release around a common problem for businesses expanding their use of artificial intelligence: fragmented infrastructure across tools and teams. In that environment, governance, visibility and consistency can become harder to maintain as more APIs and AI services are added.

Developer workflow

A central part of the integration is Konnect's role as a single source of truth for API definitions. When platform teams update API specifications in Konnect, those changes are reflected automatically in Insomnia, reducing version mismatches and keeping testing aligned with approved definitions.

The release also extends beyond graphical user interfaces. Insomnia CLI will provide large language models and autonomous agents with access to collections, environments and configurations inside Insomnia, with the feature due in tech preview.

The command-line tool will return structured JSON responses designed for parsing by large language models. That is intended to let businesses automate and orchestrate API testing tasks with AI systems without relying on manual workarounds.

Native Git-based version control is also included alongside the CLI, allowing collections and configurations to be managed from the command line. Developers can work through their preferred CLI tools while maintaining version history through Git.

AI context

The launch reflects a broader shift in the software market as companies try to connect AI models and agents to internal and external systems through APIs. In that model, access to current API definitions, credentials and environments becomes increasingly important because AI systems depend on structured, reliable context to carry out tasks.

Marco Palladino, Chief Technology Officer and Co-Founder of Kong, linked the product update directly to that trend.

"AI is only as effective as the context it has access to," said Marco Palladino, Chief Technology Officer and Co-Founder of Kong.

"By integrating Insomnia with Kong Konnect, we're giving both developers and agents instant access to an organization's entire API ecosystem, resulting in a faster, more seamless experience for developers and a stronger foundation for agentic software development," Palladino said.

Kong develops software for API management and AI connectivity, serving large companies as well as younger technology businesses. Its Konnect platform is used to manage API and AI traffic across different cloud environments and software models.

For development teams, the practical issue is often less about creating new APIs than locating the right ones, testing them against current configurations, and keeping documentation and tooling aligned. The new integration is aimed at those operational gaps by reducing manual imports and synchronising collections with centrally managed definitions.

The addition of AI-focused access through the CLI suggests Kong is also preparing for a workflow in which software agents handle a larger share of repetitive engineering tasks. In such environments, structured, machine-readable output and source-controlled configurations are likely to matter as much as traditional developer interfaces.

The update brings together discovery, governance and automation in a single development flow centred on Konnect and Insomnia.