Urlbox MCP Server for LlamaIndex 6 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Urlbox 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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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 Urlbox. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in Urlbox?"
)
print(response)
asyncio.run(main())
* 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 Urlbox MCP Server
Empower your AI agent to orchestrate your entire visual rendering and website capturing workflow with Urlbox, the professional API for pixel-perfect screenshots. By connecting Urlbox to your agent, you transform complex rendering tasks into a natural conversation. Your agent can instantly take high-fidelity screenshots, generate mobile-optimized views, and produce professional PDFs without you ever touching a dashboard. Whether you are conducting visual QA or archiving dynamic web content, your agent acts as a real-time rendering engine, ensuring your visual records are always accurate and high-resolution.
LlamaIndex agents combine Urlbox tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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
- Visual Auditing — Take pixel-perfect screenshots of any URL and retrieve the direct image links instantly.
- Full-page Oversight — Capture entire website pages from top to bottom to maintain a complete view of dynamic content.
- Mobile Intelligence — Generate screenshots using mobile user agents to verify responsive designs and layouts.
- Retina Discovery — Retrieve high-resolution retina screenshots for professional design audits.
- Document Intelligence — Convert any website into a professional PDF document for easy sharing and offline access.
The Urlbox MCP Server exposes 6 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Urlbox to LlamaIndex via MCP
Follow these steps to integrate the Urlbox MCP Server with LlamaIndex.
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 6 tools from Urlbox
Why Use LlamaIndex with the Urlbox MCP Server
LlamaIndex provides unique advantages when paired with Urlbox through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Urlbox tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Urlbox tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Urlbox, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Urlbox tools were called, what data was returned, and how it influenced the final answer
Urlbox + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Urlbox MCP Server delivers measurable value.
Hybrid search: combine Urlbox real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Urlbox 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 Urlbox for fresh data
Analytical workflows: chain Urlbox queries with LlamaIndex's data connectors to build multi-source analytical reports
Urlbox MCP Tools for LlamaIndex (6)
These 6 tools become available when you connect Urlbox to LlamaIndex via MCP:
generate_pdf
Generate a PDF from a URL
get_metadata
Get metadata for a URL (Placeholder)
take_full_page_screenshot
Take a full-page screenshot of a URL
take_mobile_screenshot
Take a screenshot with a mobile user agent
take_retina_screenshot
Take a high-resolution retina screenshot
take_screenshot
Take a PNG screenshot of a URL
Example Prompts for Urlbox in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Urlbox immediately.
"Render a high-fidelity screenshot of https://vinkius.com."
"Take a mobile screenshot of https://github.com."
"Convert https://www.bbc.com into a PDF."
Troubleshooting Urlbox MCP Server with LlamaIndex
Common issues when connecting Urlbox to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpUrlbox + LlamaIndex FAQ
Common questions about integrating Urlbox MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Urlbox with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Urlbox to LlamaIndex
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.