CuratedMCP
OpenAI Agents SDK
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How to install Keploy in OpenAI Agents SDK

End-to-end API testing — generate and run tests from OpenAPI, curl, Postman, or real user traffic.

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We found Keploy in the official MCP registry. Our automated check passed on Nov 1, 2026 (it confirms the server is published and reachable), but no one at CuratedMCP has reviewed its code, permissions or credentials handling. Check what it can access before you give it keys. Scan your machine free to see every MCP server you have installed.

Steps

  1. 1pip install openai-agents
  2. 2Use the snippet below inside an async function

Python snippet

Python
from agents import Agent
from agents.mcp import MCPServerStreamableHttp

async with MCPServerStreamableHttp(
    params={
        "url": "https://api.keploy.io/client/v1/mcp",
        "headers": {
            "Authorization": "<your-authorization>"
        }
    },
) as server:
    agent = Agent(name="Assistant", mcp_servers=[server])

Replace the values in angle brackets. Optional settings are listed below.

HeaderRequiredWhat it is
AuthorizationsecretYesKeploy API key as a Bearer token. Generate a one-time-viewable key at https://app.keploy.io/settings/api-keys, then paste the full header value including the 'Bearer ' prefix (e.g. 'Bearer kep_...').

Install in other clients

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    How to install Keploy MCP server in OpenAI Agents SDK | CuratedMCP