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Manage Postman collections, environments, and API requests directly through AI conversations.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "postman-mcp-server" yet — see the docs or source repo.
Based on this user login API spec, create a Postman collection with three requests: login, refresh token, and get profile, and add basic test scripts for each request.
A well-structured Postman collection with request definitions, example parameters, and basic assertion scripts.
Help me set up Postman environments for development, staging, and production, organize baseUrl, apiKey, and authToken variables, and suggest naming conventions.
Three ready-to-use environment configurations plus clear recommendations for variable naming and management.
Bulk replace all legacy v1 endpoint paths with v2 in the current Postman collection, and check which requests also need header or parameter updates.
An updated collection change result and a checklist of affected requests with recommended modifications.
Upload Postman assets via MCP and run API tests with managed results.
Automate Postman API collections, environments, and testing workflows.
Turn Postman API requests into an MCP server for natural language API interactions.
Turn API code into complete Postman collections with tests and examples.
Manage MCP server configurations with listing, toggling, and version control.
Connect AI assistants to PostgreSQL for secure querying, management, and analysis.