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How to Use the Builder.io (Visual CMS) MCP in LlamaIndex

Index your Builder.io (Visual CMS) content into LlamaIndex to build smarter RAG applications.

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Works with every AI agent you already use

…and any MCP-compatible client

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LlamaIndex

Connect Builder.io (Visual CMS) MCP to LlamaIndex

Create your Vinkius account to connect Builder.io (Visual CMS) 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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Index Builder.io (Visual CMS) models for RAG

Turn your site data into a searchable knowledge base. By using `get_content`, your agent pulls raw site data that LlamaIndex then embeds into a vector store for semantic search. Your agent stops guessing. It retrieves specific content fragments from your models and provides answers grounded in your actual live site data.

Get pre-rendered HTML in LlamaIndex

Grab the actual layout of your pages using `get_html`. This gives your agent a visual understanding of the DOM structure, which it can then index to improve your search relevance. It bridges the gap between raw data and rendered UI. Your agent now knows exactly how your users see the page.

Maintain content control via LlamaIndex

Use `delete_content` to prune your index when pages are removed. This ensures your vector store stays in sync with your live Builder.io (Visual CMS) environment. Everything stays current. When an agent updates a model, the index refreshes to reflect the change immediately.

Setup guide

Set up Builder.io (Visual CMS) MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 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. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all Builder.io (Visual CMS) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 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 Builder.io (Visual CMS) tools.",
)
response = await agent.run("List recent Builder.io (Visual CMS) data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Builder.io. 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 Builder.io (Visual CMS) MCP in LlamaIndex

The MCP Server provides the tools to extract model data. LlamaIndex then ingests this output to create searchable embeddings.
Yes. Use the allowed_tools filter during setup to restrict the agent to specific functions like `get_content`.
Grounding your agent in your site index prevents this. It only answers using the content retrieved from your models via the MCP Server.
Absolutely. Use `to_tool_list_async()` to integrate these tools into your asynchronous agent pipelines.
We enforce strict isolation between your local environment and the Vinkius backend. Your private API keys are never stored in your vector index.

Start using the Builder.io (Visual CMS) MCP today

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Built & Managed by Vinkius 30s setup 9 tools

We've already built the connector for Builder.io (Visual CMS). Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 9 tools are live and waiting. You're up and running in seconds.

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