ngrok MCP Server for LlamaIndexGive LlamaIndex 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

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ngrok as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The ngrok MCP Server for LlamaIndex 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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python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to ngrok. "
            "You have 7 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in ngrok?"
    )
    print(response)

asyncio.run(main())

Fully ManagedVinkius Servers

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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.

LlamaIndex agents combine ngrok tool responses with indexed documents for comprehensive, grounded answers. Connect 7 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 7 tools from ngrok

Why Use LlamaIndex with the ngrok MCP Server

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

Data-first architecture: LlamaIndex agents combine ngrok tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain ngrok tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query ngrok, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what ngrok tools were called, what data was returned, and how it influenced the final answer

ngrok + LlamaIndex Use Cases

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

Hybrid search: combine ngrok real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query ngrok to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying ngrok for fresh data

Analytical workflows: chain ngrok queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for ngrok in LlamaIndex

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

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

ngrok + LlamaIndex FAQ

Common questions about integrating ngrok MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query ngrok tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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