ngrok MCP Server for Mastra AIGive Mastra AI instant access to 7 tools to List Api Keys, List Endpoints, List Https Edges, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect ngrok through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this MCP Server for Mastra AI
The ngrok MCP Server for Mastra 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.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"ngrok": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "ngrok Agent",
instructions:
"You help users interact with ngrok " +
"using 7 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with ngrok?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and ngrok tool infrastructure. Connect 7 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra 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 Mastra AI
When Mastra 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 api keys on ngrok
List ngrok API keys
List endpoints on ngrok
List ngrok endpoints
List https edges on ngrok
List ngrok HTTPS edges
List ip policies on ngrok
List ngrok IP policies
List ip restrictions on ngrok
List ngrok IP restrictions
List reserved domains on ngrok
List ngrok reserved domains
List vaults on ngrok
List ngrok vaults
Connect ngrok to Mastra AI via MCP
Follow these steps to wire ngrok into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the ngrok MCP Server
Mastra AI provides unique advantages when paired with ngrok through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add ngrok without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every ngrok tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
ngrok + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the ngrok MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query ngrok, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed ngrok as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query ngrok on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using ngrok tools alongside other MCP servers
Example Prompts for ngrok in Mastra AI
Ready-to-use prompts you can give your Mastra 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 Mastra AI
Common issues when connecting ngrok to Mastra AI through Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpngrok + Mastra AI FAQ
Common questions about integrating ngrok MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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