Overview of Postman’s Products and Services

Postman is a comprehensive API platform designed to streamline every aspect of the API lifecycle, from design and development to testing, documentation, deployment, and monitoring. It is widely adopted by developers, QA engineers, and enterprises for building, managing, and collaborating on APIs, offering a unified workspace and a suite of integrated tools[4][6].

Core Products

1. API Client

• Enables users to create, send, and debug REST, SOAP, GraphQL, gRPC, WebSocket, and MQTT requests.
• Supports inspection of responses, authentication protocols (OAuth 1.2/2.0, AWS Signature, Hawk, etc.), and the organization of requests into reusable Collections[3][5][7].

2. API Repository

• Centralized storage for all API artifacts, including specifications, documentation, test cases, metrics, and workflow recipes.
• Facilitates collaboration and version control across teams[4].

3. Postman Collections

• Bundles API requests, documentation, variables, authorization, tests, and scripts into shareable units.
• Collections can be generated from API schemas, shared, and used for automation, CI/CD integration, and onboarding[8].

4. API Design Tools

• Supports design and editing of API specifications using OpenAPI, RAML, GraphQL, and SOAP.
• Features schema validation, linting, and automatic generation of Collections for various lifecycle stages (mocking, testing, documentation)[5].

5. Mock Servers

• Simulate API endpoints before backend implementation, enabling frontend development and testing in parallel.
• Return dynamic or static responses and log mock calls for debugging[1][7].

6. Automated Testing and Monitoring

• Run automated tests and monitor API endpoints at scheduled intervals.
• Supports integration with CI/CD pipelines and provides analytics on API health, latency, and uptime[1][7].

7. Documentation Generation

• Auto-generates and publishes machine-readable API documentation from Collections, enriched with reusable data models and types for clarity and consistency[8].

8. Governance and Security

• Enforces organization-wide standards and best practices through governance rules.
• Includes advanced security features in enterprise plans: SSO, SCIM, SAML, audit logs, secret scanning, BYOK encryption, and compliance controls[2][4][7].

9. Workspaces

• Organize API projects and collaborate internally (private workspaces), externally (partner workspaces), or publicly.
• Real-time updates and granular access controls for different roles[4][7].

10. Integrations

• Seamlessly connects with source code management (GitHub, GitLab), CI/CD tools, API gateways, APM, and secret managers (1Password, Azure Key Vault, HashiCorp Vault, AWS Secrets Manager)[2][4][7].

11. Postman Flows

• Low-code visual editor for building API workflows, automations, and integrations without writing code.
• Enables rapid prototyping and demonstration of API-based applications[4][7].

12. Postbot (AI Assistant)

• AI-powered assistant for generating test scripts, writing tests, and visualizing API responses, enhancing productivity and reducing manual effort[6][7].

Platform Features

Enterprise and Advanced Features

• Private API Network: Central directory for internal APIs, discoverable by authorized users[2][7].
• Deployment Control: Enterprise admins can deploy and manage Postman app versions within their organization[2].
• Advanced Analytics: Reporting on API usage, performance, and governance metrics[7].
• Role-Based Access Control: Granular permissions for users, teams, and external partners[7].
• Custom Domains: Host API documentation on branded domains[7].
• Secret Scanning and Management: Detect and manage exposed secrets in code and API artifacts[7].

Pricing and Plans

Postman offers four primary plans, each with increasing capabilities and support[7]:

Add-ons are available for partner collaboration, advanced security, additional mock/monitoring capacity, and more[7].

Summary

Postman provides a unified, feature-rich platform for the entire API lifecycle, supporting API design, development, testing, documentation, monitoring, governance, and collaboration. Its tools and services cater to individuals, small teams, large enterprises, and external partners, making API workflows more efficient, secure, and collaborative[1][2][3][4][5][6][7][8].

Sources [1] Products - Postman https://www.postman.com/products/ [2] Postman Launches New API Platform, Redefines API Management ... https://www.businesswire.com/news/home/20210916005104/en/Postman-Launches-New-API-Platform-Redefines-API-Management-for-the-API-First-World [3] API Client for REST, SOAP, & GraphQL Queries - Postman https://www.postman.com/product/api-client/ [4] What is Postman? Postman API Platform https://www.postman.com/product/what-is-postman/ [5] API Tools | Postman API Platform https://www.postman.com/product/tools/ [6] Postman: The World's Leading API Platform | Sign Up for Free https://www.postman.com [7] Plans & Pricing | Postman API Platform https://www.postman.com/pricing/ [8] Postman Collections: Organize API Development and Testing https://www.postman.com/product/collections/ [9] Buy Postman https://www.postman.com/buy [10] Postman API Platform: From Siloed to Synced https://www.postman.com/api-platform/

Postman's Recent MCP Integration Announcement

Postman recently announced full integrated support for the Model Context Protocol (MCP) directly in their platform. This announcement marks a significant advancement in Postman's AI Agent Builder solution, which aims to simplify the design, debugging, and deployment of AI agents using familiar tools and APIs.

What is MCP?

The Model Context Protocol (MCP) is a standardized protocol that streamlines API integrations for Large Language Models (LLMs) and agentic frameworks. It defines a consistent structure for exposing and invoking tools, prompts, and resources. MCP acts as a thin but powerful layer over APIs, standardizing how agents interact with underlying services across different transport layers such as standard input/output (STDIO), server-sent events (SSE), and streamable HTTP.

Key Features of Postman's MCP Integration

With this new integration, Postman users can now:

1. Create and send MCP requests using the familiar Postman API client
2. Generate MCP servers from Postman's network of over 100,000 APIs
3. Call tools, compose prompts, explore server resources, and build servers seamlessly inside Postman

The integration eliminates the need for complex setup, scripts, or guesswork, enabling faster and more reliable agent development.

How It Works

Users can now open a workspace in Postman, click "New," and select "MCP" just like they would for any other type of request (HTTP, gRPC, GraphQL). From there, they can connect to any MCP server, explore its capabilities, and build and debug visually without requiring code or manual configuration.

Postman handles all the protocol-level details, allowing users to focus on what their agent does and whether it works properly. Tools, prompts, and resources are automatically loaded from the server and displayed in a structured interface.

Postman supports both STDIO and HTTP with server-sent events (SSE) transport layers, as well as tools, prompts, and resources primitives.

AI Tool Builder

A significant part of the announcement is the launch of the AI Tool Builder in Postman. This feature enables users to generate MCP servers that include only the tools their application needs, without extra setup or unnecessary code. These servers are built on Postman's network of over 100,000 public APIs, including verified sources like Salesforce, UPS, and X, providing a reliable foundation for developing dependable AI agents.

Users can simply select the APIs they want, click Build, download their custom server, and test it immediately in the Postman MCP Client. The generated servers can be used with various products like Claude and Cursor.

Using MCP Requests

To interact with an MCP server using Postman, users can:

1. Choose an existing MCP request or create a new one
2. Load the server's methods in the Capabilities section
3. Browse tools, prompts, and resources tabs to list available methods
4. Select a method and define its arguments
5. Run the request to get a JSON response

Availability and Future Plans

All of these MCP improvements are integrated into Postman's existing workflows and are available now. Users can download the latest version of the Postman app to create new MCP requests or generate MCP servers with the AI Tool Builder.

Postman will be showcasing their MCP solutions in hands-on demos and workshops at their upcoming POST/CON 25 event. Additionally, they've launched a May Community Challenge inviting users to share their MCP server creations, with the possibility of being featured at POST/CON 25.

This integration represents a significant step forward in making AI agent development more accessible and standardized for developers already familiar with Postman's interface, potentially accelerating the adoption of AI agents in various applications.