How to Use the Contentsquare MCP in LlamaIndex

Q: Can LlamaIndex query past Contentsquare exports?

Yes, use listexportjobs to identify past runs. Your agent can then index the results to answer questions about historical site performance.

Index your Contentsquare analytics into LlamaIndex for searchable, grounded UX knowledge.

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Connect Contentsquare MCP to LlamaIndex

Create your Vinkius account to connect Contentsquare 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 Contentsquare with LlamaIndex

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Index Contentsquare data for LlamaIndex

Turn your site metrics into a searchable knowledge base. By calling `get_metrics` and `list_segments`, you feed live data directly into your LlamaIndex vector store. This prevents hallucinations by grounding agent answers in actual platform stats. Your RAG application queries these results to explain site behavior.

Query Contentsquare sessions in LlamaIndex

Use `enrich_session` to pull detailed contact logs and sales data into your index. LlamaIndex then makes these records retrievable through semantic search. You can ask your agent about specific user behaviors documented in your analytics. The agent provides answers based on the indexed payload.

Audit URL structures with LlamaIndex

Index your URL mapping trees using `list_mappings` to help your agent navigate site changes. LlamaIndex stores this hierarchy so you can query which paths have specific zonings. This makes it easy to find where click tracking is constrained. Your agent retrieves the relevant zoning data immediately.

Setup guide

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

The MCP Server output is converted into vector embeddings. These are stored in your configured vector store for later retrieval.

Yes, use `list_export_jobs` to identify past runs. Your agent can then index the results to answer questions about historical site performance.

It is. Once you index the tool output, you can query your analytics just like you would a document collection.

Vinkius hosts the server on our isolated infrastructure. You just connect your LlamaIndex client to our endpoint.

We enforce strict data isolation. Your session logs are never exposed to other tenants and remain encrypted during transit.

Use it with your favorite AI tools

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

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