How to Use the Apidog MCP in OpenAI Agents SDK

Q: Can OpenAI Agents SDK automatically write tests using Apidog specs?

Yes, by combining exportopenapi with your agent logic. The agent reads the JSON spec and generates targeted test suites that match your production schema exactly.

Q: How do I connect Apidog to OpenAI Agents SDK?

Install the SDK, then initialize MCPServerStreamableHttp pointing to the Vinkius endpoint. Pass this server instance inside the mcpservers list when instantiating your Agent.

Q: Does this MCP configuration support tool caching?

Setting cacheToolsList=True in your configuration prevents redundant network roundtrips. Your agent retains the tool signatures, speeding up response times during multi-step tasks.

Feed Apidog API specifications directly to your OpenAI Agents SDK setups to build production-grade, self-validating API integrations.

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Connect Apidog MCP to OpenAI Agents SDK

Create your Vinkius account to connect Apidog to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Apidog with OpenAI Agents SDK

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Map API layouts with OpenAI Agents SDK

`list_projects` lets your OpenAI agents discover every API project in your organization instantly. They can query active workspaces to figure out which APIs are available. Once they locate the right project, they call `list_endpoints` to map out the entire routing tree. Your agent decides which paths to target using this MCP Server.

Pull schema definitions for strict guardrails

`get_endpoint` fetches the exact schema of a single target API route directly into your agent's execution loop. This allows the OpenAI Agents SDK to validate payloads before firing live HTTP requests. By coupling this with `list_schemas`, your system catches structure mismatches on DTOs and database models before they hit production. You get structured validation without manual YAML parsing.

Export OpenAPI specs into agent handoffs

`export_openapi` grabs the full OpenAPI 3.0 specification from Apidog as a clean JSON payload. Your routing agent can read this spec and hand off execution to specialized sub-agents. This setup prevents context bloat in multi-agent architectures. Instead of feeding a massive API doc to every single runner, you dynamically load specs only when a specific handler needs them.

Setup guide

Set up Apidog MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Apidog tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Apidog tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Apidog tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Apidog Agent",
            instructions="You have access to Apidog tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Apidog MCP in OpenAI Agents SDK

You register the MCP Server directly in your Python agent initialization. The SDK auto-discovers the tools, allowing your agents to query endpoints and pull schemas on demand.

Yes, by combining `export_openapi` with your agent logic. The agent reads the JSON spec and generates targeted test suites that match your production schema exactly.

Install the SDK, then initialize `MCPServerStreamableHttp` pointing to the Vinkius endpoint. Pass this server instance inside the `mcp_servers` list when instantiating your Agent.

Setting `cacheToolsList=True` in your configuration prevents redundant network roundtrips. Your agent retains the tool signatures, speeding up response times during multi-step tasks.

Your API definitions and access tokens never persist on our infrastructure. Every request runs inside a secure, ephemeral V8 isolate sandbox that dissolves immediately after execution.

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