How to Use the Geekflare MCP in OpenAI Agents SDK

Audit your production infrastructure directly from your OpenAI Agents SDK workflow with this MCP Server.

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Connect Geekflare MCP to OpenAI Agents SDK

Create your Vinkius account to connect Geekflare 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 Geekflare with OpenAI Agents SDK

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Automated security and performance diagnostics

Trigger `scan_ssl_tls_cert` and `measure_load_time` directly from your agent logic. You get immediate feedback on your site's health without leaving your Python codebase. Your agent handles the audit flow, ensuring that every deployment meets your performance baseline before it hits production.

Domain intelligence for your OpenAI Agents SDK

Feed `get_dns_records` and `get_whois_data` into your agent to map out dependencies. It cuts through the noise of manual lookups by pulling raw data into your execution context. Parsing these records helps your agents make informed decisions about infrastructure changes or troubleshooting connectivity issues.

Visual and structural site validation

Use `take_website_screenshot` and `check_broken_links` to verify what your users actually see. The agent identifies visual regressions or dead ends before they impact your metrics. Running `run_lighthouse_audit` gives you a clear snapshot of where your site stands against performance standards, all within your agent's control loop.

Setup guide

Set up Geekflare 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 Geekflare tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Geekflare 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="Geekflare Agent",
            instructions="You have access to Geekflare 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 Geekflare MCP in OpenAI Agents SDK

Install the MCP client and pass the server details into your agent constructor. It maps tools automatically, letting you call them as standard Python functions.

Yes. You can script these audits into your deployment pipeline. If the agent detects a failure in your site's security headers, it can halt the process.

The server handles async requests natively. You just await the tool results in your agent code to keep your event loop running smoothly.

You provide an endpoint token via the Vinkius platform. The connection remains ephemeral and scoped strictly to your session.

The server only processes the specific domain data you request. No logs are stored on our end, and your security credentials never touch the audit logic.

Use it with your favorite AI tools

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