How to Use the ngrok MCP in LlamaIndex

Q: How does LlamaIndex index data from the ngrok MCP Server?

You use the MCP client to fetch data from tools like listendpoints. LlamaIndex then converts these records into searchable nodes for your vector store.

Q: Can LlamaIndex query ngrok API keys?

The server provides listapikeys, which LlamaIndex can pull into your index. We recommend strict filtering to keep these credentials out of public-facing search results.

Q: Does the server expose my ngrok vault secrets?

The listvaults tool returns metadata about your vaults. It does not output the raw secrets stored inside them, keeping your sensitive data protected.

Index your live tunnel configurations into LlamaIndex for semantic search and grounded answers about your infrastructure.

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Connect ngrok MCP to LlamaIndex

Create your Vinkius account to connect ngrok to LlamaIndex 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 LlamaIndex

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Build a searchable ingress index

Use `list_https_edges` and `list_endpoints` to feed live data into your vector store. Your index now understands your current tunnel state. Queries about active traffic paths return precise results. You stop digging through dashboards and start asking your knowledge base.

Ground answers in tunnel data

Combine `list_reserved_domains` with your internal documentation inside LlamaIndex. The agent retrieves context from actual API responses, not cached guesses. You get accurate, live information about your domains. Hallucinations vanish when the system relies on the current state of your network.

Monitor security configurations

Index `list_ip_policies` and `list_ip_restrictions` to track rule changes over time. Your RAG application alerts you to variations in your security posture. It acts as a living document of your network rules. You query the index to explain why a specific traffic block exists.

Setup guide

Set up ngrok MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all ngrok MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to ngrok tools.",
)
response = await agent.run("List recent ngrok data")

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Common questions about ngrok MCP in LlamaIndex

You use the MCP client to fetch data from tools like `list_endpoints`. LlamaIndex then converts these records into searchable nodes for your vector store.

The server provides `list_api_keys`, which LlamaIndex can pull into your index. We recommend strict filtering to keep these credentials out of public-facing search results.

The server handles your data locally during the retrieval process. Your tunnel configurations are stored only within your private vector store instance.

It lets you ask natural language questions about your network. You find specific endpoints or policies without knowing their exact IDs.

The `list_vaults` tool returns metadata about your vaults. It does not output the raw secrets stored inside them, keeping your sensitive data protected.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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