Postman MCP Server

Postman MCP Server

Enables interaction with Postman workspaces, collections, requests, responses, and monitors through the Postman API. Allows users to manage API collections, create and update requests/responses, and execute monitors directly from chat.

Category
访问服务器

README

Postman MCP Server

Expose the Postman API as a set of [Model‑Context Protocol (MCP)] tools. This project wraps core Postman API endpoints into well‑typed tools that can be invoked by your favourite MCP host (Codex, Claude Desktop, etc.). Use it to list workspaces, manage collections, edit requests and responses (examples) and even run monitors directly from chat.

Features

Tool Description
listWorkspaces List every workspace the authenticated API key can access. Uses GET /workspaces【260284429113736†screenshot】.
getWorkspace Fetch details of a single workspace by ID. Includes arrays of collections, environments, mocks and monitors【260284429113736†screenshot】.
listCollectionsInWorkspace Given a workspace ID, return the collection references contained in that workspace (UID, name, owner). Internally calls GET /workspaces/{workspaceId} and extracts the collections array.
createCollection Create a new collection from a Postman Collection v2 object. Accepts an optional workspaceId query parameter to save the collection into a specific workspace【516251068010627†screenshot】.
getCollection Retrieve a complete collection definition by its UID using GET /collections/{collectionUid}【260252579404281†screenshot】.
updateCollection Replace an existing collection with a new Collection v2 payload via PUT /collections/{collectionUid}【671023381355334†screenshot】.
createRequest Add a new request to a collection. Sends POST /collections/{collectionId}/requests with a request object, allowing you to append or insert requests into a collection.
getRequest Fetch a single request item from a collection with GET /collections/{collectionId}/requests/{requestId} (path variables: collectionId, requestId)【996776406622354†screenshot】.
updateRequest Replace an existing request definition using PUT /collections/{collectionId}/requests/{requestId}.
createResponse Create a sample response (example) for a request. Uses POST /collections/{collectionId}/responses?request={requestId} and sends a response body.
getResponse Get a response example by ID via GET /collections/{collectionId}/responses/{responseId}.
updateResponse Update an existing example using PUT /collections/{collectionId}/responses/{responseId}.
runMonitor Execute a monitor synchronously. Invokes POST /monitors/{monitorUid}/run, waits for completion and returns run results【322691760681237†screenshot】.

API constraints

  • All endpoints require a valid API key. Set POSTMAN_API_KEY in your environment or .env file.
  • The base URL defaults to https://api.getpostman.com but can be overridden with POSTMAN_BASE_URL (useful for EU or India data regions).
  • When creating or updating collections, the body must conform to the Postman Collection v2 specification. At a minimum include an info object with a name and an item array.

Getting started

Local development

  1. Clone this repository and install dependencies:

    cd postman-mcp
    npm install
    
  2. Copy .env.example to .env and add your Postman API key and (optionally) a default workspace:

    POSTMAN_API_KEY=pmak-xxxxxxxxxxxxxxxxxxxx
    POSTMAN_BASE_URL=https://api.getpostman.com
    DEFAULT_WORKSPACE_ID=
    
  3. Run the server in development mode:

    npm run dev
    

The server listens on stdin/stdout for JSON‑RPC messages from your MCP host.

Docker

Build and run using the provided Dockerfile:

docker compose run -e POSTMAN_API_KEY=pmak-xxx postman-mcp

Integrating with Codex (VS Code)

Add an entry to your ~/.codex/config.toml:

[mcp_servers.postman]
command = "/usr/local/bin/node"
args = ["/absolute/path/postman-mcp/dist/server.js"]

[mcp_servers.postman.env]
POSTMAN_API_KEY = "pmak-xxx..."
POSTMAN_BASE_URL = "https://api.getpostman.com"
DEFAULT_WORKSPACE_ID = ""

Reload the Codex extension; new tools prefixed with postman will appear in the command palette or chat UI.

Example usage

To list workspaces:

listWorkspaces {}

Create a new collection in a workspace:

createCollection {
  "collection": {
    "info": {
      "name": "Demo API",
      "schema": "https://schema.getpostman.com/json/collection/v2.1.0/collection.json"
    },
    "item": []
  },
  "workspaceId": "8aefd87e-xxxx-4f1a-xxxx-123456789012"
}

Add a request to an existing collection:

createRequest {
  "collectionId": "631e6cfa-59b0-463c-9b89-123456789abc",
  "request": {
    "name": "Get Users",
    "request": {
      "method": "GET",
      "url": {
        "raw": "https://example.com/users",
        "protocol": "https",
        "host": ["example","com"],
        "path": ["users"]
      }
    }
  }
}

Create a sample response for the above request:

createResponse {
  "collectionId": "631e6cfa-59b0-463c-9b89-123456789abc",
  "requestId": "c82dd0c2-4870-4907-8fcb-593a876cf05b",
  "response": {
    "name": "200 OK",
    "status": "OK",
    "code": 200,
    "header": [],
    "body": "{\"message\":\"success\"}"
  }
}

Run a monitor synchronously and view its results:

runMonitor {
  "monitorUid": "9e18469a-2c3d-4a60-8d7f-1234567890ab"
}

Extending

This MCP server intentionally focuses on core Postman entities. You can extend it further by adding tools for:

  • Environments – list, create and update environment variables.
  • Mocks – manage mock servers and their associated examples.
  • Monitors – create, update and delete monitors as well as retrieve run results.
  • User information – read API usage and team membership data.

Feel free to fork and add more endpoints to suit your workflow!

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选