ngrok MCP Server for LangChainGive LangChain 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

LangChain is the leading Python framework for composable LLM applications. Connect ngrok through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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The ngrok MCP Server for LangChain 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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "ngrok": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using ngrok, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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.

LangChain's ecosystem of 500+ components combines seamlessly with ngrok through native MCP adapters. Connect 7 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 7 tools from ngrok via MCP

Why Use LangChain with the ngrok MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine ngrok MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across ngrok queries for multi-turn workflows

ngrok + LangChain Use Cases

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

RAG with live data: combine ngrok tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query ngrok, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain ngrok tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every ngrok tool call, measure latency, and optimize your agent's performance

Example Prompts for ngrok in LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

ngrok + LangChain FAQ

Common questions about integrating ngrok MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.