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PagePixels MCP Server for LlamaIndexGive LlamaIndex instant access to 8 tools to Create Screenshot Config, Delete Screenshot Config, Get Screenshot Config, and more

Built by Vinkius GDPR 8 Tools Framework

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

Ask AI about this App Connector for LlamaIndex

The PagePixels app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 8 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 PagePixels. "
            "You have 8 tools available."
        ),
    )

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

asyncio.run(main())
PagePixels
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About PagePixels MCP Server

What you can do

  • Automated Screenshots: Take high-quality screenshots of any URL.
  • Render Custom HTML: Capture images of custom HTML generated on the fly.
  • Manage Configurations: Create and update scheduled screenshot configurations for continuous monitoring.

LlamaIndex agents combine PagePixels tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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.

The PagePixels MCP Server exposes 8 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.

All 8 PagePixels tools available for LlamaIndex

When LlamaIndex connects to PagePixels through Vinkius, your AI agent gets direct access to every tool listed below — spanning pagepixels, screenshots, automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_screenshot_config

Create a new screenshot configuration

delete_screenshot_config

Delete a screenshot configuration

get_screenshot_config

Get a specific screenshot configuration by ID

list_screenshot_configs

List all screenshot configurations

quick_snap

Takes a quick screenshot of a URL

quick_snap_with_options

Takes a screenshot of a URL with advanced options

snap_custom_html

Takes a screenshot of custom HTML

update_screenshot_config

Update an existing screenshot configuration

Connect PagePixels to LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 8 tools from PagePixels

Why Use LlamaIndex with the PagePixels MCP Server

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

01

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

02

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

03

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

04

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

PagePixels + LlamaIndex Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for PagePixels in LlamaIndex

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

01

"Take a full page screenshot of https://example.com."

02

"List all my screenshot configurations."

03

"Render this HTML and take a screenshot."

Troubleshooting PagePixels MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

PagePixels + LlamaIndex FAQ

Common questions about integrating PagePixels MCP Server with LlamaIndex.

01

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.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query PagePixels tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

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