ngrok MCP Server for Pydantic AIGive Pydantic AI 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

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect ngrok through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Ask AI about this MCP Server for Pydantic AI

Open in ChatGPT Open in Claude Open in Perplexity

The ngrok MCP Server for Pydantic AI 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

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to ngrok "
            "(7 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in ngrok?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

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 ngrok MCP Server

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

Pydantic AI validates every ngrok tool response against typed schemas, catching data inconsistencies at build time. Connect 7 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI

When Pydantic AI 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 7 tools from ngrok with type-safe schemas

Why Use Pydantic AI with the ngrok MCP Server

Pydantic AI provides unique advantages when paired with ngrok through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your ngrok integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your ngrok connection logic from agent behavior for testable, maintainable code

ngrok + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the ngrok MCP Server delivers measurable value.

Type-safe data pipelines: query ngrok with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple ngrok tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query ngrok and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock ngrok responses and write comprehensive agent tests

Example Prompts for ngrok in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting ngrok to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

ngrok + Pydantic AI FAQ

Common questions about integrating ngrok MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your ngrok MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Explore More MCP Servers

View all →

Home River Group

10 tools

Connect and manage Home River Group properties, units, and residents via Entrata API.

Color Contrast Checker Alternative

1 tools

Instantly verify if your text is readable on any background. WCAG 2.1 AA/AAA compliance in one call — the AI guesses ratios, this engine calculates them.