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Upload Postman assets via MCP and run API tests with managed results.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-server" yet — see the docs or source repo.
Please use mcp-server to upload this Postman collection and its environment, organize them under the project name, and return an available asset list.
A list of uploaded collections, environments, and data files, plus a summary of how they were organized.
Use mcp-server to run all requests in this Postman collection with the staging environment, and report pass/fail results plus error summaries for each API.
API test execution results including pass rate, failed cases, response issues, and key error details.
Please read the latest test results, group failed APIs by error type, and rerun only the failed requests once.
A grouped failure report, rerun status for failed requests, and an updated comparison of results.
Connect to the mcp API via MCP to extend AI tool capabilities.
Turn Postman API requests into callable tools for natural language API interaction.
Send transactional emails, track status, and manage contacts through MCP.
Manage MCP server configurations with listing, toggling, and version control.
Manage files, monitor systems, keep notes, and fetch weather via MCP.
Build, debug, and manage software tasks with natural language across LLMs.