How to Use the PagePixels MCP in LlamaIndex

Q: Can my LlamaIndex agent manage screenshot configurations?

Yes, the agent can call createscreenshotconfig to save new rendering profiles. It then indexes these profiles so you can query your active configurations using natural language. It makes managing hundreds of testing targets simple.

Index visual snapshots and webpage layouts into your LlamaIndex vector store for semantic search.

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Connect PagePixels MCP to LlamaIndex

Create your Vinkius account to connect PagePixels to LlamaIndex — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup PagePixels with LlamaIndex

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Claude

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Gemini

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Convert live web views into searchable index data

Executing `quick_snap` turns visual web data into structured knowledge your agent can query. By running the tool through this MCP Server, your pipeline grabs a visual representation of a page while storing the metadata. This lets you index live web states directly alongside your text documents. If you need to index custom layouts, use `snap_custom_html` to render raw code blocks into static images. The resulting files are indexed into your vector store, giving your RAG application a visual memory of your UI layouts.

Query your PagePixels configuration database

Running `list_screenshot_configs` lets your agent fetch all active setups without manual cataloging. Your agent searches this index to find the right configuration ID when you ask about your testing setups. If a configuration is outdated, the agent uses `update_screenshot_config` to modify it based on your natural language instructions. We update the database and the index simultaneously, ensuring your search results stay accurate.

Retrieve settings dynamically with this MCP Server

Pulling settings dynamically with `get_screenshot_config` stops you from hardcoding viewport dimensions. It matches your query to the correct stored profile, pulling the exact parameters needed for a clean capture. For temporary jobs, the agent can bypass saved settings entirely and run `quick_snap_with_options` with custom parameters. It handles the entire lifecycle, including deleting old profiles with `delete_screenshot_config` to keep your workspace clean.

Setup guide

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by PagePixels. 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.

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Common questions about PagePixels MCP in LlamaIndex

You run the capture tool and pass the resulting image path or metadata to your document ingestion pipeline. LlamaIndex reads the output of `quick_snap` and indexes it directly into your vector database. This makes your visual data searchable.

Yes, the agent can call `create_screenshot_config` to save new rendering profiles. It then indexes these profiles so you can query your active configurations using natural language. It makes managing hundreds of testing targets simple.

The LlamaIndex MCP tool spec automatically reads the schema from the Vinkius server. It translates tools like `quick_snap_with_options` into executable Python functions for your agent. You don't have to write any manual integration code.

You can if you index the metadata returned by the tools. Every time your agent runs a capture, it can store the parameters and image links in your vector store. This lets you ask questions about what was captured and when.

Every URL and HTML snippet sent through the tools is processed over encrypted connections directly to isolated rendering nodes. No screenshot images or configuration files are cached publicly or exposed to third parties. Your proprietary web layouts remain completely private.

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