Connect to Postman to manage API collections, run tests, monitor APIs, and collaborate on API development through AI agents.
API
UI
Open Source
1
Install the SDKs (optional)
pip install klavis
2
Create a Strata MCP Server with Postman
from klavis import Klavisfrom klavis.types import McpServerNameklavis_client = Klavis(api_key="YOUR_API_KEY")# Create a Strata MCP server with Postmanresponse = klavis_client.mcp_server.create_strata_server( servers=[McpServerName.POSTMAN], user_id="user123")
userId specifies whose connected accounts and data you are accessing in Klavis. It should be a unique id for yourself, your team, or your organization.
# Set the Postman API key for your instanceresponse = klavis_client.mcp_server.set_instance_auth( instance_id=postman_server.instance_id, auth_data={ "api_key": "YOUR_POSTMAN_API_KEY" })
🎉 Your Postman MCP Server is ready! You can now use your MCP server URL with any MCP-compatible client to manage API collections and run tests.
# Pull the Docker imagedocker pull ghcr.io/klavis-ai/postman-mcp-server:latest# Run with API key support (requires Klavis API key)docker run -p 5000:5000 \ -e KLAVIS_API_KEY=$KLAVIS_API_KEY \ ghcr.io/klavis-ai/postman-mcp-server:latest
With our progressive discovery approach, Klavis System is capable of enabling all tools for Postman. Please use the get_tools API for more details. If you find any tool that is missing, please reach out to contact@klavis.ai.
