The Postman MCP Server is an advanced TypeScript-based server that integrates with the Postman API, enabling efficient management of Postman collections, environments, and APIs. By leveraging the Model Context Protocol (MCP) initiative from Anthropic, the Postman MCP Server provides an AI-driven interaction layer that simplifies complex API workflows, automates tasks, and enhances productivity. This server facilitates the creation, modification, and organization of Postman resources with detailed functionalities for developers and teams looking to streamline their API management tasks.
Unlike Postman's fragmented approach where API specifications and collections exist separately, Apidog provides a truly unified platform where changes to API specs are immediately reflected across all related requests and documentation.
For teams developing APIs in dynamic environments, Apidog eliminates the frustration of constant request rewrites and the 25-run monthly limitation of Postman's free tier.
With unlimited collection runs, visual API specification creation, and advanced features like smart mock engines and customizable documentation layouts, Apidog has established itself as the go-to solution for collaborative API development teams seeking efficiency, real-time synchronization, and comprehensive lifecycle management in a single, intuitive platform.
Key Features of Postman MCP Server
The Postman MCP Server comes with a rich set of features that allow seamless management and interaction with the Postman API.
1. Collections Management
CRUD Operations: Easily create, retrieve, update, and delete Postman collections.
Folder Management: Organize requests by grouping them into folders within collections, making navigation more intuitive.
Request Management: Add new requests, update existing ones, or delete requests within collections, making it easy to manage APIs.
Response Management: Store and manage responses associated with individual requests to help with testing and debugging.
Version Control: Utilize powerful version control features like forking, merging, and pulling changes, ensuring collaboration and smooth integration with teams.
Comments: Add comments to collections, making it easier to collaborate on requests, provide explanations, and maintain clear communication within teams.

2. Environment Management
Create and Retrieve Environments: Create different environments for various setups and retrieve them for use within collections.
CRUD Operations: Full support for creating, updating, and deleting environments, making it easy to work with different configurations based on your needs.
3. API Management
API Creation and Updates: Manage the full lifecycle of APIs, including creation, retrieval, updating, and deletion of APIs within the Postman platform.
Multi-File Schema Support: Manage multi-file API schemas, enhancing the organization and flexibility of your API documentation.
Tagging: Assign tags to APIs for better categorization and searchability, enabling faster access and integration.
API Comments: Add comments to APIs, facilitating collaboration and ensuring that the API documentation is well understood by all stakeholders.
4. Authentication & Authorization
API Key Authentication: Secure access to Postman resources using API keys, ensuring that only authorized users can interact with your data.
Role-Based Access Control (RBAC): Control access to workspaces, collections, and other Postman resources by defining user roles and permissions.
Workspace Permissions: Define fine-grained permissions for workspace-specific actions, ensuring that only authorized users can make critical changes.
5. Additional Features
Private API Network: Seamlessly manage elements and folders within a private API network, ensuring that sensitive data is kept secure and organized.
Webhooks: Set up webhooks to trigger collections with custom payloads, enabling automated workflows and integration with other services.
Enterprise Features: Advanced role-based controls, including SCIM support, for managing users and permissions within enterprise environments.
How to Install Postman MCP Server
Setting up the Postman MCP Server is a straightforward process that can be done with the following steps:
Installing via Smithery
To install Postman MCP Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install postman-api-server --client claude
Prerequisites
- Node.js installed.
Clone the Repository:
Clone the project from GitHub by running the following command:
git clone https://github.com/delano/postman-api-server.git
cd postman-api-server
Install Dependencies:
Install the required dependencies using pnpm
:
pnpm install
Build the Server:
Build the server by running:
pnpm run build
Run in Development Mode:
To run the server in development mode with auto-rebuild:
pnpm run watch
Setting Up API Keys
To interact with the Postman API, you will need to generate and configure an API key.
Generate Your API Key:
Go to Postman Account Settings and click on "Generate API Key."


Make sure to store the key securely, as it will not be shown again.
Configure the API Key:
Add the generated key to your environment as the POSTMAN_API_KEY
.
For tools like Claude Desktop or Cline, include the API key in the configuration file.
Important: Never commit your API key to version control to avoid exposure.
Verify Access:
With your API key configured, you can test access by running simple queries, such as listing workspaces, to ensure proper setup and permissions.
Integration with Claude Desktop and Cline
Claude Desktop Configuration:
On Claude Desktop, you need to add the server configuration to the Claude config file located:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%/Claude/claude_desktop_config.json

Example Configuration:
{
"mcpServers": {
"postman": {
"command": "node",
"args": [
"/path/to/postman-api-server/build/index.js"
],
"env": {
"POSTMAN_API_KEY": "CHANGEME"
}
}
}
}
Cline Configuration:
Add the same configuration to Cline’s MCP Servers configuration file, similar to the Claude configuration.

Advanced Setup and Debugging
Run in Development Mode with Auto-Rebuild:
For easy development, you can run the server with auto-rebuild:
pnpm run watch
Debugging with MCP Inspector:
To aid in debugging, use the MCP Inspector, which can be run via:
pnpm run inspector
This will provide a URL (http://localhost:5173
) to access debugging tools in your browser, helping you troubleshoot and monitor the server.
Converting OpenAPI Spec to TypeScript Code with Claude
With the integration of Postman MCP Server, Claude, and Cline, converting OpenAPI specifications into TypeScript code becomes seamless and efficient. This automated process significantly reduces common integration errors and enhances type safety when interacting with APIs.
1. Integration of OpenAPI Specification
Postman MCP Server, combined with Claude, automatically parses the OpenAPI specification and generates the corresponding TypeScript code. This eliminates the need for manual code mapping between API resources and TypeScript types, ensuring accuracy and type consistency.
For instance, the OpenAPI definition for a GET /users/{id}
endpoint might look like this:
paths:
/users/{id}:
get:
parameters:
- in: path
name: id
required: true
schema:
type: string
This will be converted into a TypeScript interface and API call function like:
interface User {
id: string;
name: string;
email: string;
}
const getUser = async (id: string): Promise<User> => {
const response = await axios.get(`https://api.postman.com/users/${id}`);
return response.data;
};
2. Automated Type Safety
Claude ensures that TypeScript types remain in sync with the OpenAPI spec. This eliminates potential errors caused by type mismatches in requests or responses. For example, TypeScript will flag errors if you try to access properties not defined in the User
interface:
console.log(user.age); // Error: Property 'age' does not exist on type 'User'
3. Enhanced Developer Experience
Using Cline, developers can easily configure and interact with the Postman API while ensuring that the TypeScript types are automatically updated. This reduces manual work, speeds up development, and helps maintain accurate API documentation throughout the project lifecycle.
This approach ensures more reliable, efficient, and error-free interactions with the Postman API, improving overall code quality and reducing integration issues.
Postman MCP Server vs. Apidog – Which One Should You Use?
While Postman MCP Server is a powerful tool for API management and automation, Apidog provides a more user-friendly, all-in-one solution for API design, testing, and collaboration.
Key Differences
Feature | Postman MCP Server | Apidog |
---|---|---|
OpenAPI Support | ✅ Yes | ✅ Yes |
API Documentation | ✅ Yes | ✅ Yes |
Automated Testing | ✅ Yes | ✅ Yes |
Mock Server | ⚠️ Limited | ✅ Fully integrated |
Collaboration | ✅ Teams & Workspaces | ✅ Real-time collaboration |
UI & Usability | 🟡 Intermediate | ✅ Beginner-friendly |

Why Consider Apidog?
Easier Learning Curve – Ideal for beginners with an intuitive UI.
Built-in Mock Server – No need for third-party integrations.
Real-time Collaboration – Seamless teamwork on API projects.
Comprehensive API Lifecycle Management – Design, test, document, and manage APIs in one place.
Project Overview
The Postman MCP Server is part of the Model Context Protocol (MCP) initiative, which offers a framework for handling complex API interactions, especially those that require multi-step operations. The server provides significant value for tasks that involve managing multiple collections, automating workflows, and maintaining compliance with API standards.
Conclusion
The Postman MCP Server is a powerful tool for developers looking to simplify the management of Postman collections, environments, and APIs. By automating repetitive tasks, providing robust security features, and offering seamless integration with tools like Claude and Cline, this server streamlines API workflows and enhances overall productivity.