Bring Tunneling
to Pydantic AI
Learn how to connect ngrok to Pydantic AI and start using 7 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the ngrok MCP Server?
Connect your ngrok account to any AI agent and take full control of your ingress infrastructure through natural conversation.
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
How it works
- Subscribe to this server
- Enter your ngrok API Key
- Start managing your tunnels and security from Claude, Cursor, or any MCP-compatible client
Who is this for?
- DevOps Engineers — quickly audit active endpoints and security policies across the organization
- Backend Developers — check reserved domains and HTTPS edge configurations during local development
- Security Teams — monitor IP restrictions and vault usage to maintain compliance and secure access
Built-in capabilities (7)
List ngrok API keys
List ngrok endpoints
List ngrok HTTPS edges
List ngrok IP policies
List ngrok IP restrictions
List ngrok reserved domains
List ngrok vaults
Why Pydantic AI?
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.
- —
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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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
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Dependency injection system cleanly separates your ngrok connection logic from agent behavior for testable, maintainable code
ngrok in Pydantic AI
ngrok and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect ngrok to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for ngrok in Pydantic AI
The ngrok 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. All 7 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
ngrok for Pydantic AI
Every tool call from Pydantic AI to the ngrok MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I see all my active public URLs currently served by ngrok?
Yes! Use the list_endpoints tool to retrieve all public URLs, whether they are ephemeral, edge-based, or cloud endpoints.
How do I check which custom domains I have reserved?
Simply ask the agent to run the list_reserved_domains action. It will return a list of all custom domains configured in your ngrok account.
Is it possible to audit my IP security policies?
Yes. You can use list_ip_policies and list_ip_restrictions to review the access control rules applied to your infrastructure.
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.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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