Postman MCP Server
收藏Databricks2026-04-25 收录
下载链接:
https://marketplace.databricks.com/details/f377e5d0-b2ca-402e-abf7-9a6e617a925f/Postman_Postman-MCP-Server
下载链接
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资源简介:
**This MCP server is not part of the Databricks Services, and its use is subject to the source's license terms. The MCP server and the information below are reproduced here for your convenience from publicly available listings. Any issues should be submitted to the MCP provider.**
**Overview**
The Postman MCP Server connects AI tools to the Postman API platform, enabling agents to manage workspaces, collections, environments, run API tests, generate client code, and automate API workflows through natural language. Three configuration modes control scope and token consumption:
- **Minimal** (default, 37 tools) — core operations like running collections, modifying individual Postman elements.
- **Code** — generates idiomatic, well-organized client code from public and internal API definitions, with accurate response types and error handling.
- **Full** (100+ tools) — all Postman API operations including advanced collaboration and enterprise features.
Connect at `https://mcp.postman.com` (remote, supports OAuth) or run locally via `npx -y @postmanlabs/postman-mcp-server` (API key). EU region hosting available at `https://mcp.eu.postman.com`. The local server is useful for testing APIs running on localhost, which the remote server can't reach.
**Tools**
Key capabilities across modes:
- **API test execution** — Run Postman collections and get structured pass/fail results
- **Collection management** — Create, tag, update documentation, add comments, and perform bulk operations across collections
- **Environment management** — Create environments and manage variables for different deployment targets
- **Workspace operations** — Create and manage workspaces
- **Code generation** — Generate production-ready client code that matches API definitions, organized into intuitive structures mirroring collections
- **Spec creation** — Create OpenAPI specs from code and use them to generate collections
**Use Cases**
- **Test-driven development:** Run collection tests after code changes and get structured pass/fail results. Use the local server to test APIs on localhost.
- **API client generation:** Generate well-organized client code from OpenAPI specs or Postman collections with accurate types and error handling.
- **Documentation maintenance:** Update collection and request documentation as APIs evolve.
- **Workspace automation:** Perform bulk operations across multiple collections, workspaces, and environments.
**Learn More:** [github.com/postmanlabs/postman-mcp-server](https://github.com/postmanlabs/postman-mcp-server)
提供机构:
Postman



