Can I import a complete OpenAPI spec into an AI chat session?

Yes. Instruct the agent to run the `export_openapi` tool. It downloads the JSON metadata and safely passes it into your context. Given its size, the agent can use this massive reference guide to rapidly write tests, endpoints, or data models perfectly mimicking your production systems.

How can I check the payload requirements for a single specific route?

If you know the general area of the project, use `list_endpoints` to verify the ID. Then query `get_endpoint`. It brings back the specific HTTP verbs, query arguments, path definitions, and expected JSON body — letting your agent craft exact functional requests to external systems.

Will my Apidog tokens expire?

When generating your Personal Access Token in Apidog, you dictate the validity duration (e.g. 30 days, 1 year or never expire). If you choose a finite span, you will need to come back, generate a new token and insert it once more to reconnect the MCP server successfully.

Apidog MCP Server for OpenAI Agents SDK 5 tools — connect in under 2 minutes

Name: Apidog
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 5 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Apidog through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Apidog Assistant",
            instructions=(
                "You help users interact with Apidog. "
                "You have access to 5 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Apidog"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Apidog MCP Server

Connect your Apidog account to your AI agent and seamlessly access your API specifications, data models, and documentation through natural conversation.

The OpenAI Agents SDK auto-discovers all 5 tools from Apidog through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Apidog, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Discover Projects & Endpoints — Browse your active projects and list all HTTP routes without opening the Apidog client
Inspect Endpoint Schemas — Fetch the complete anatomy of any route, including its HTTP method, dynamic path params, headers, and request/response body schemas
Understand Data Models — Query active reusable schemas (DTOs, entities) defined throughout your API
Export OpenAPI Specs — Extract the complete OpenAPI 3.0 JSON specification from your team’s project to give your AI maximum context for testing or code generation

The Apidog MCP Server exposes 5 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Apidog to OpenAI Agents SDK via MCP

Follow these steps to integrate the Apidog MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 5 tools from Apidog

Why Use OpenAI Agents SDK with the Apidog MCP Server

OpenAI Agents SDK provides unique advantages when paired with Apidog through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Apidog + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Apidog MCP Server delivers measurable value.

Automated workflows: build agents that query Apidog, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Apidog, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Apidog tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Apidog to resolve tickets, look up records, and update statuses without human intervention

Apidog MCP Tools for OpenAI Agents SDK (5)

These 5 tools become available when you connect Apidog to OpenAI Agents SDK via MCP:

export_openapi

Export the full OpenAPI 3.0 specification of an Apidog project as JSON

get_endpoint

Fetch the complete schema of a single API endpoint

list_endpoints

List all API endpoints defined within a specific Apidog project

list_projects

List all API projects in the connected Apidog organization

list_schemas

List all data model schemas (DTOs, entities) defined in an Apidog project

Example Prompts for Apidog in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Apidog immediately.

"List all active projects in our Apidog organization."

"Write a TypeScript interface for the response schema of the /users endpoint in the E-commerce project."

"Export the full OpenAPI JSON for the E-commerce project so we can generate unit tests."

Troubleshooting Apidog MCP Server with OpenAI Agents SDK

Common issues when connecting Apidog to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Apidog + OpenAI Agents SDK FAQ

Common questions about integrating Apidog MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.