How to Use the Unbounce MCP in LlamaIndex

Q: How do I use LlamaIndex to query Unbounce leads?

You pass the output from leads into your vector store. This allows you to build a knowledge base that answers questions about historical submissions, rather than just listing them.

Q: Can LlamaIndex help me audit multiple Unbounce pages?

Absolutely. You combine data from pages and domains. The index can compare these two lists to tell you exactly which assets are missing required domain mappings or configurations.

Q: What kind of data does the Unbounce server provide for LlamaIndex?

The MCP Server exposes four tools: domains, leads, pages, and subaccounts. These inputs allow you to index structured knowledge about your marketing environment.

Q: Which data type does the Unbounce server touch for privacy concerns?

The leads tool captures personal contact information (PCI) and submission metadata. Indexing this requires careful management to maintain data integrity and compliance.

Ground your AI answers in real Unbounce performance data with LlamaIndex.

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Connect Unbounce MCP to LlamaIndex

Create your Vinkius account to connect Unbounce 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 Unbounce with LlamaIndex

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Index every captured lead submission for later querying.

Instead of just dumping leads, you index them. Use `leads` to pull submissions for a specific page. This output becomes part of your vector store, meaning you can ask complex questions like, "What were the common reasons people left form X?" and get answers grounded in that historical data.

Build a knowledge base of your landing page assets.

You can index the structure itself using `pages`. This lets you query metadata—for instance, asking "Which pages are currently missing domain configuration?" and getting precise answers based on comparing the list from `pages` against what `domains` reports.

Retrieve context across all Unbounce accounts.

Need to know if a specific page belongs to the right team? First, use `sub_accounts` to define the scope. Then, you can run queries combining that context with lists of available pages (`pages`) and custom domains (`domains`), creating an index that answers "Where exactly is this asset managed?"

Setup guide

Set up Unbounce 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 Unbounce 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 Unbounce tools.",
)
response = await agent.run("List recent Unbounce 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 Unbounce. 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 Unbounce MCP in LlamaIndex

You pass the output from `leads` into your vector store. This allows you to build a knowledge base that answers questions about historical submissions, rather than just listing them.

Absolutely. You combine data from `pages` and `domains`. The index can compare these two lists to tell you exactly which assets are missing required domain mappings or configurations.

The MCP Server exposes four tools: `domains`, `leads`, `pages`, and `sub_accounts`. These inputs allow you to index structured knowledge about your marketing environment.

It takes the raw data from the server's tools—like all available sub-accounts or domain lists—and converts it into a searchable index. You query the index, and you get answers grounded in that live API data.

The `leads` tool captures personal contact information (PCI) and submission metadata. Indexing this requires careful management to maintain data integrity and compliance.

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