How to Use the DeveloperHub MCP in OpenAI Agents SDK
Build production documentation agents with the OpenAI Agents SDK. Guardrails and full tracing included.
Works with every AI agent you already use
…and any MCP-compatible client
Connect DeveloperHub MCP to OpenAI Agents SDK
Create your Vinkius account to connect DeveloperHub 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.
Audit Docs Without The Risk
Your agent can scan for outdated content using `list_recently_updated_pages` and `get_documentation_page_content`. The OpenAI Agents SDK lets you build guardrails to approve any changes before your agent acts, preventing accidental public-facing errors. This is how you use automation responsibly. Let the agent find problems, but keep a human in the loop for the final say. It's the right way to manage a production documentation portal.
Delegate Tasks with Multi-Agent Handoffs
Use one agent to monitor changes with `list_product_changelogs` and hand off findings to another. A 'tracker' agent can watch for updates, while a 'writer' agent drafts new content based on the changelog. This is a core strength of the OpenAI SDK. This MCP server gives your agents the specific tools they need to focus. The SDK's handoff feature makes this clean, letting each agent do one thing well instead of building one monolithic agent that does everything poorly.
Trace Every OpenAI Agents SDK Action
Know exactly what your agent is doing inside DeveloperHub. Every call to tools like `search_documentation_portal` or `get_documentation_sitemap` is traced in your OpenAI dashboard. No more black boxes. You get a full, undeniable audit trail. That's not a nice-to-have; it's a requirement for any serious production system that touches your customer-facing docs.
Set up DeveloperHub MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all DeveloperHub tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives DeveloperHub tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate DeveloperHub tools and returns structured results. Copy the full example on the right to get started.
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="DeveloperHub Agent",
instructions="You have access to DeveloperHub tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DeveloperHub. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about DeveloperHub MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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