Build AI agents with the Postman AI Agent Builder

You can use Postman AI Agent Builder to prototype and build AI agents in a collaborative environment. Evaluate AI models, add AI to your existing workflows, and use public APIs from the Postman API Network to build your next AI agent.

Create AI requests and add them to your collections

Postman AI Agent Builder is powered by AI requests. You create AI requests to interact with AI models. You can then prompt the model, review the response details, and manage your conversations with them. In addition, you can edit your AI request settings to change how you interact with the model.

To learn more, see Add your AI requests to your collections.

Create AI request blocks and add them to your flow modules

With Postman AI Agent Builder and Postman Flows, you can use a visual, low-code editor to build API-first AI agents on an infinite, drag-and-drop canvas.

To learn more, see Add your AI request blocks to your flow modules.

Create MCP requests and add them to your collections

You can use Postman as your Model Context Protocol (MCP) client and send requests to MCP servers. You can use these MCP requests to help you build and test your MCP server, or evaluate one from the community.

To learn more, see Add your MCP requests to your collections.

Watch demos and see examples

See Postman AI Agent Builder in action in the Postman AI Agent Builder public workspace. And explore the following guided demos and start building your next AI agent.

• Streamline LLM Integration with Postman's AI Protocol
• Evaluate LLM Performance in Postman
• Instantly Create Agent-Ready APIs with Postman’s Tool Generation API
• Build Multi-Stage AI Agents: Vector Search + LLMs in Postman Flows
• Build Event-Driven AI Workflows in Postman
• Build Autonomous AI Agents for Incident Management in Postman Flows
• What Is MCP? The Matrix for AI Tools Explained in 60 Seconds