Postman looks to streamline API and agentic AI development with Agent Mode

Application programming interface development startup Postman Inc. said today it’s launching a host of new features that will enable its platform to put artificial intelligence agents into operation.

The host of new features announced at Postman’s annual user conference POST/CON today includes “Agent Mode,” a new AI-native assistant that aims to accelerate developer productivity by automating the design, testing, documentation and monitoring of APIs through natural language inputs. The company also revealed new real-time insights for APIs, enterprise-ready workflow integrations for AI agents, and support for the Model Context Protocol, which is a standardized way for AI agents to use third-party software tools.

Postman is a leading provider of collaborative tools that help companies build APIs, which are the main channels through which applications interact with one another. APIs are used to transfer information, for example when an analytics tool needs to access records from a database, to provision cloud infrastructure and automate business tasks.

The startup says Agent Mode is one of the most powerful additions to its toolset yet, providing a “fully capable execution agent” that connects directly to APIs with full awareness of their state. It’s designed to manage all of the heavy lifting involved in API development, transforming many of the fragmented and manual steps into rapid, AI-powered workflows.

Armed with natural language understanding, Agent Mode transforms user requests into actions. It can execute complex workflows across Postman’s entire suite of collections, tests, environments and documentation libraries. For instance, it can create, organize and update collections of APIs with proper variable handling and reusable configurations, while automating testing by validating response schemas and simulating edge use cases. Once an API is up and running, Agent Mode will generate detailed documentation that can be shared across teams, while simultaneously handling monitoring duties to identify any problems.

In the future, it’ll get even better. Postman said Agent Mode will also enable developers to create their own AI agents, leveraging the capabilities of its existing Agent Builder tool, to automate additional API tasks. Developers will be able to create teams of reusable AI agents. They’ll live in the customer’s workspace, from where they promise to scale productivity across functions and processes such as daily engineering tasks and broader operations.

Postman says organizations are scrambling to use AI to aid in software development. It cites a recent study by McKinsey & Co. which finds that software developers can complete coding tasks more than twice as fast when using generative AI assistants, leading to dramatic gains in productivity.

Ultimately, that means improved business outcomes, such as faster time to market for new software updates, bigger profits and greater customer satisfaction, Postman says. In other words, software teams have every reason to want to embrace AI, and Postman intends to lead the way in automating API development.

“With Agent Mode, Postman becomes the first platform to combine enterprise-grade API tooling with an intelligent agent capable of understanding business intent and delivering production-grade workflows on demand,” said Postman co-founder Abhijit Kane. “It effectively removes the need for time-consuming prototyping and empowers teams to move from idea to working product in days — not quarters.”

Agent Mode was the headline act among a flurry of other new capabilities unleashed in the Postman platform today. Developers will also be able to get to grips with Postman Insights, which provides real-time observability for APIs, enabling teams to track usage across endpoints and versions, detect failure patterns and proactively resolve problems before they affect users.

Repo Mode in Insights expands that capability, enabling simplified testing and the ability for developers to reproduce API failures for debugging purposes. Meanwhile, integration with the Model Context Protocol will help developers to transform APIs into “callable agent tools,” generate MCP servers directly from API collections, and test agents’ behavior. The integration also debuts what Postman says is the world’s first MCP server network, allowing developers to discover, test and adopt AI agent-compatible endpoints.

Finally, Postman announced a series of enterprise-ready workflow integrations that will help to accelerate API delivery and reduce development lifecycles. For instance, the integration with GitHub will enable real-time collection synchronization and branch-based governance, while Jira will support context-aware issue creation and tracking. Collaboration is being enhanced too, with integrations for Slack and Microsoft Teams to help developer teams stay aligned.

Chief Executive Abhinav Asthana said the new capabilities will enable its platform to operationalize AI agents at scale in a way that’s safe and reliable. “We’re bridging the gap between the promise of LLMs and the production requirements of modern software,” he insisted. “Agent-based systems aren’t just clever prompts. They’re full systems that must be tested, debugged and governed like real software.”

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