How to Use the Browse AI MCP in LlamaIndex

Index live web data into LlamaIndex using this Browse AI MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Browse AI MCP to LlamaIndex

Create your Vinkius account to connect Browse AI 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 Browse AI with LlamaIndex

Ask AI about this MCP

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Claude

Perplexity

Turn website data into LlamaIndex knowledge

Call `trigger_robot_run` to pull fresh site data into your application. You then pipe the results straight into your vector store for instant querying. Your RAG pipeline stays current by using `list_robot_history` to grab recent runs. It ensures your index only contains the latest site information.

Automate data retrieval for LlamaIndex

Use `list_robots` to find the right scraper for your data source. Your indexing agent picks the correct robot based on your current knowledge needs. It handles the heavy lifting by checking `get_run_status` before trying to ingest data. You avoid indexing incomplete or failed scrapes.

Maintain scraper context in LlamaIndex

Store your robot settings as indexed documents using `get_robot_details`. Your agent can then retrieve these settings later to understand how a specific page was scraped. This MCP Server provides the raw metadata your index needs to stay organized. You get a clear history of what was pulled and when.

Setup guide

Set up Browse AI 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 Browse AI 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 Browse AI tools.",
)
response = await agent.run("List recent Browse AI data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Browse AI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Browse AI now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Browse AI MCP in LlamaIndex

You can connect this MCP Server to your LlamaIndex workflow to pull data directly into your vectors. It turns static web scraping into a dynamic knowledge base.

It provides the tools needed to trigger and retrieve data that LlamaIndex then processes. You treat the scraper output as a live data source for your agents.

You build a tool spec that lets your agent trigger scrapes and ingest the results. Browse AI provides the data, and LlamaIndex handles the semantic search.

Vinkius handles all your tokens and auth. LlamaIndex only interacts with the server through the secure MCP protocol we manage.

We enforce strict transport security for every request. Only your authorized agent can access your account details or scraper logs through the MCP connection.

Use it with your favorite AI tools

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