How to Use the ngrok MCP in LangChain

Q: Are my reserved domains visible to LangChain?

Your reserved domains are accessible via the listreserveddomains tool. The agent reads this list to verify against active endpoint configurations.

Chain together live tunnel data in LangChain pipelines to automate your ingress auditing without leaving your development environment.

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…and any MCP-compatible client

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Connect ngrok MCP to LangChain

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

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Setup ngrok with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate ingress discovery

Trigger `list_endpoints` and `list_https_edges` within your LangChain agents to map active traffic tunnels. You'll catch rogue tunnels before they become security headaches. This MCP Server provides the raw data your agents need to build decision trees. Your chain logic now sees every live entry point in real-time.

Audit security policies

Feed `list_ip_policies` and `list_ip_restrictions` into your reasoning loops to verify segment isolation. Your agent compares active rules against your internal compliance requirements. It flags discrepancies instantly. You stop guessing if your firewall settings match your production needs.

Manage infrastructure credentials

Use `list_api_keys` and `list_vaults` to track credential sprawl across your environment. Your agent identifies unused keys that sit idle in your account. This keeps your secret management clean. You get a clear view of who holds access to your tunnel infrastructure.

Setup guide

Set up ngrok MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes ngrok tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "ngrok-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent ngrok transactions"
    })
    print(result["messages"][-1].content)

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Common questions about ngrok MCP in LangChain

You instantiate the MCP client and pass the tools directly into your agent definition. The agent then calls `list_endpoints` to fetch live tunnel states during its execution loop.

Yes, you connect the server to your LangChain environment using the adapter. Each tool output serves as the input for the next step in your reasoning pipeline.

Your API data is processed locally within the session managed by the MCP Server. No external tracking of your tunnel configurations or private keys occurs.

The server returns an error code that your agent handles via standard logic. You should implement retry logic or rate-limiting in your chain to stay within your plan's bounds.

Your reserved domains are accessible via the `list_reserved_domains` tool. The agent reads this list to verify against active endpoint configurations.

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