Is the integration read-only?

Yes. All tools only read from your Stoplight workspace — projects, nodes, schemas, and activity logs. No modifications or deletions are possible through this integration.

What is the workspace slug?

It's the subdomain of your Stoplight URL. For example, if your workspace is at `https://acme.stoplight.io`, the slug is `acme`. You can find it in the address bar when logged in.

What data can the agent access?

Projects, workspace members, activity logs, and all project nodes (endpoints, models, articles). Each node's full content — including OpenAPI schemas — can be retrieved via `get_node_details`.

Stoplight MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes

Name: Stoplight
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 7 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Stoplight 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="Stoplight Assistant",
            instructions=(
                "You help users interact with Stoplight. "
                "You have access to 7 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

Fully ManagedVinkius Servers

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DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 Stoplight MCP Server

Integrate the industry-leading API design and documentation capabilities of Stoplight into your conversational AI workflows. Empower your engineering teams to explore workspaces, evaluate OpenAPI schemas, and audit API projects natively from their conversational assistant. Securely map your AI to your Stoplight workspace, enabling the orchestration of complex documentation tasks, project navigation, and architectural reviews naturally without switching contexts or opening complex dashboards.

The OpenAI Agents SDK auto-discovers all 7 tools from Stoplight through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Stoplight, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Workspace Exploration — Rapidly inspect top-level organizational containers invoking list_workspaces, and track operational changes programmatically leveraging list_workspace_activity.
Project Management — Audit your API documentation repositories cataloging initiatives securely using list_projects, and retrieve full visibility metadata invoking get_project_details.
Schema & Documentation Discovery — Dive deeply into specific documentation structures retrieving files, endpoints, and models leveraging list_project_nodes, and parse their raw text safely utilizing get_node_details.
Team & Governance — Map project ownership accurately and enforce governance metrics iteratively assigning roles retrieving authorized contributors naturally via list_workspace_members.

The Stoplight MCP Server exposes 7 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 Stoplight to OpenAI Agents SDK via MCP

Follow these steps to integrate the Stoplight 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 7 tools from Stoplight

Why Use OpenAI Agents SDK with the Stoplight MCP Server

OpenAI Agents SDK provides unique advantages when paired with Stoplight 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

Stoplight + OpenAI Agents SDK Use Cases

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

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

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

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

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

Stoplight MCP Tools for OpenAI Agents SDK (7)

These 7 tools become available when you connect Stoplight to OpenAI Agents SDK via MCP:

get_node_details

Retrieves details for a specific documentation node

get_project_details

Retrieves details for a specific Stoplight project

list_project_nodes

Lists all documentation nodes (files, endpoints, models) within a project

list_projects

Lists all projects in a specific Stoplight workspace

list_workspace_activity

Lists recent activity logs for a Stoplight workspace

list_workspace_members

Lists all members of a Stoplight workspace

list_workspaces

Lists all accessible Stoplight workspaces

Example Prompts for Stoplight in OpenAI Agents SDK

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

"List my Stoplight projects and show recent workspace activity."

"Retrieve the detailed schema documentation for the processing node in our core billing API project."

"List all active members in the current workspace."

Troubleshooting Stoplight MCP Server with OpenAI Agents SDK

Common issues when connecting Stoplight 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.

Stoplight + OpenAI Agents SDK FAQ

Common questions about integrating Stoplight 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.