How to Use the ngrok MCP in Pydantic AI

Q: Can I use Pydantic AI to audit my ngrok IP restrictions?

Yes. Your agent calls listiprestrictions and validates the output against your safety schema. This ensures your ingress rules are always strictly enforced.

Q: Is the ngrok MCP Server easy to add to Pydantic AI?

You define an MCPToolset pointing to the server endpoint. Then, pass it into your agent's toolset list to start querying your infrastructure.

Q: What is the benefit of using Pydantic AI with ngrok keys?

You get type-safe access to listapikeys. This prevents your agent from attempting to use keys that don't match your expected format or internal standards.

Use Pydantic AI for type-safe control over your ngrok infrastructure and tunnel visibility.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect ngrok MCP to Pydantic AI

Create your Vinkius account to connect ngrok to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup ngrok with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Strict validation of tunnel endpoints

Every response from `list_endpoints` is validated against your Pydantic models. If the data format shifts, your agent fails immediately instead of guessing. This prevents bad data from corrupting your agent's decision-making process. You get a reliable, type-safe view of every active tunnel on your account.

Enforce security policies with type safety

Your agent calls `list_ip_policies` and `list_ip_restrictions` to verify your ingress rules. Pydantic ensures the returned structures are exactly what you expect. There is no room for hallucinated fields or missing configuration data. Your agent confirms your defense settings are active and correctly formatted every single time.

Inventory control for domains and vaults

Use `list_reserved_domains` and `list_vaults` to maintain a precise record of your assets. The framework validates these lists against your defined types. This keeps your infrastructure tracking accurate. Your agent knows exactly what domains you own and what secrets are stored, with zero risk of processing malformed input.

Setup guide

Set up ngrok MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "ngrok-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to ngrok tools.",
)

result = await agent.run("List recent ngrok transactions")
print(result.output)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ngrok. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect ngrok now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about ngrok MCP in Pydantic AI

It uses Pydantic models to validate every piece of data returned by the server. If `list_endpoints` returns unexpected data, the agent stops to prevent errors.

Yes. Your agent calls `list_ip_restrictions` and validates the output against your safety schema. This ensures your ingress rules are always strictly enforced.

You define an `MCPToolset` pointing to the server endpoint. Then, pass it into your agent's toolset list to start querying your infrastructure.

You get type-safe access to `list_api_keys`. This prevents your agent from attempting to use keys that don't match your expected format or internal standards.

The server only performs read-only operations on your configuration metadata. Since your agent only sees what you explicitly validate, your security remains under your strict control.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript