How to Use the Framer MCP in LlamaIndex

Q: Are my Framer pages searchable via LlamaIndex?

They are. By using listpages, your agent maps the site structure for retrieval. This improves the quality of your agent's answers.

Index your live Framer site content in LlamaIndex to build RAG applications that query your actual CMS data.

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Connect Framer MCP to LlamaIndex

Create your Vinkius account to connect Framer 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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Setup Framer with LlamaIndex

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Claude

Perplexity

Semantic indexing for Framer

Pipe your CMS content into a vector store using `list_collection_items`. LlamaIndex creates an index based on your current site data. This lets your agent answer questions about your site's content accurately. You get grounded responses instead of generic guesses.

Site structure analysis

Use `list_pages` to ingest your URL structure into your knowledge base. This provides context for your agent about site navigation. Linking pages to content items helps the agent understand site hierarchy. It makes your RAG application site-aware.

Automated content management

Update your site programmatically based on your index queries. Your agent uses `create_collection_item` to push new knowledge back to the CMS. This creates a closed-loop system for content updates. You keep your site current without leaving your terminal.

Setup guide

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

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Built-in savings

60%

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One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Framer MCP in LlamaIndex

It uses the MCP tools to fetch live data from your collections. This data is then transformed into vectors for your RAG pipeline.

Yes. The server exposes your collections as readable tools. Your agent queries them like a database.

They are. By using `list_pages`, your agent maps the site structure for retrieval. This improves the quality of your agent's answers.

The server operates in an ephemeral sandbox. Your API tokens are injected at runtime and never logged or persisted in your index.

It accesses your site's CMS items, page lists, and project configuration. We restrict all access to these specific read/write operations.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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