Browse AI MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Create Monitor, Get Robot Details, Get Run Status, and more

Name: Browse AI
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 Browse AI 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 Browse AI MCP Server for LlamaIndex is a standout in the Data Management category — giving your AI agent 12 tools to work with, ready to go from day one.

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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 Browse AI. "
            "You have 12 tools available."
        ),
    )

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

asyncio.run(main())

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* 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 Browse AI MCP Server

Connect your Browse AI account to any AI agent and take full control of your no-code web scraping and automated monitoring workflows through natural conversation.

LlamaIndex agents combine Browse AI tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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

Robot Orchestration — List and manage all web scraping robots in your account programmatically, retrieving detailed configuration and high-fidelity extraction history
Automated Task Execution — Programmatically trigger new robot runs with custom parameters (e.g., origin URL) to coordinate high-fidelity data collection in real-time
Website Monitoring Intelligence — Create and manage monitoring schedules to track changes on any website and maintain a perfectly coordinated data pipeline
Event Architecture — Access and monitor robot webhooks for instant notifications and retrieve detailed log metadata directly through your agent
Financial Visibility — Programmatically track your account subscription status and credit usage to coordinate your automated data quotas efficiently

The Browse AI MCP Server exposes 12 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 12 Browse AI tools available for LlamaIndex

When LlamaIndex connects to Browse AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning data-extraction, no-code, web-monitoring, 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.

create

Create monitor on Browse AI

Add new schedule

get

Get robot details on Browse AI

Get robot info

get

Get run status on Browse AI

Check task progress

get

Get usage quotas on Browse AI

Check credit balance

get

Get user profile on Browse AI

Get account info

list

List active monitors on Browse AI

List scheduled scrapers

list

List bulk operations on Browse AI

List bulk task runs

list

List robot history on Browse AI

List past runs

list

List robot webhooks on Browse AI

Get event configs

list

List robots on Browse AI

List scraping robots

remove

Remove webhook on Browse AI

Delete robot webhook

trigger

Trigger robot run on Browse AI

Start scraping task

Connect Browse AI to LlamaIndex via MCP

Follow these steps to wire Browse AI 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 12 tools from Browse AI

Why Use LlamaIndex with the Browse AI MCP Server

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

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

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

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

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

Browse AI + LlamaIndex Use Cases

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

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

Data enrichment: query Browse AI 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 Browse AI for fresh data

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

Example Prompts for Browse AI in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Browse AI immediately.

"List all available scraping robots in my account."

"Trigger robot 'rob_123' to scrape 'https://vinkius.com/pricing'."

"Check the status and results for task 'task_456'."

Troubleshooting Browse AI MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Browse AI + LlamaIndex FAQ

Common questions about integrating Browse AI 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 Browse AI 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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