ngrok MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 7 tools to List Api Keys, List Endpoints, List Https Edges, and more

Name: ngrok
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The ngrok MCP Server for OpenAI Agents SDK is a standout in the Loved By Devs category — giving your AI agent 7 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients

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="ngrok Assistant",
            instructions=(
                "You help users interact with ngrok. "
                "You have access to 7 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

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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 ngrok MCP Server

Connect your ngrok account to any AI agent and take full control of your ingress infrastructure through natural conversation.

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

What you can do

Endpoints & Edges — List all active public URLs (ephemeral, edge, or cloud) and inspect HTTPS edges for advanced routing configurations
Security & Access — Audit IP policies and restrictions applied to your dashboard, API, or agents to ensure secure access
Domain Management — Retrieve all custom domains reserved for your applications directly from the ngrok cloud
Credential Management — List API keys used for authentication and manage secure vaults for sensitive values
Infrastructure Visibility — Get a bird's-eye view of your entire tunneling setup without leaving your terminal or chat interface

The ngrok MCP Server exposes 7 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 7 ngrok tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to ngrok through Vinkius, your AI agent gets direct access to every tool listed below — spanning tunneling, ingress, api-gateway, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

list

List api keys on ngrok

List ngrok API keys

list

List endpoints on ngrok

List ngrok endpoints

list

List https edges on ngrok

List ngrok HTTPS edges

list

List ip policies on ngrok

List ngrok IP policies

list

List ip restrictions on ngrok

List ngrok IP restrictions

list

List reserved domains on ngrok

List ngrok reserved domains

list

List vaults on ngrok

List ngrok vaults

Connect ngrok to OpenAI Agents SDK via MCP

Follow these steps to wire ngrok into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 ngrok

Why Use OpenAI Agents SDK with the ngrok MCP Server

OpenAI Agents SDK provides unique advantages when paired with ngrok 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

ngrok + OpenAI Agents SDK Use Cases

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

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

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

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

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

Example Prompts for ngrok in OpenAI Agents SDK

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

"List all active ngrok endpoints."

"Show me the reserved domains in my account."

"What IP policies are currently configured?"

Troubleshooting ngrok MCP Server with OpenAI Agents SDK

Common issues when connecting ngrok to OpenAI Agents SDK through 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.

ngrok + OpenAI Agents SDK FAQ

Common questions about integrating ngrok 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.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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