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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Builder.io (Visual CMS) MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - 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 providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto 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 Builder.io (Visual CMS) MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
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.
Why Choose Vinkius
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Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Builder.io (Visual CMS) MCP in LlamaIndex
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