How to Use the GoSquared MCP in LlamaIndex

Q: Can I search across GoSquared trends using LlamaIndex?

Absolutely, as long as you index the output of gettrendssources and gettrendsdevices. Once indexed, you can ask for comparative analysis between different time periods.

Q: How do I filter which GoSquared tools LlamaIndex can use?

You pass an allowedtools filter to the client initialization. This limits the agent to only the specific data points you want it to access.

Index your GoSquared analytics into LlamaIndex to query your site performance using plain English.

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Connect GoSquared MCP to LlamaIndex

Create your Vinkius account to connect GoSquared 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 GoSquared with LlamaIndex

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Claude

Perplexity

Semantic search for GoSquared metrics

Turn your analytics into a searchable knowledge base. LlamaIndex ingests results from `get_trends_overview` to create a vector index of your historical performance. Ask questions about past trends without manual dashboard navigation. The agent retrieves the relevant data points from your indexed history.

Live traffic indexing with LlamaIndex

Keep your index fresh with real-time snapshots. By running `get_now_pages` and `get_now_visitors` periodically, you ground your agent in the current state of your site. Your RAG application compares live data against your indexed trends. It detects anomalies by checking current behavior against established norms.

Tool-based knowledge retrieval

Use the MCP Server to pull specific campaign data for your index. `get_trends_campaigns` provides the raw records your agent needs to answer complex queries. Your agent translates your intent into tool calls, fetching the exact data required to build its response. No more manual report generation.

Setup guide

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

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Common questions about GoSquared MCP in LlamaIndex

You use the BasicMCPClient to connect the server, then generate a tool list for your FunctionAgent. The agent then queries the API based on your natural language prompt.

Absolutely, as long as you index the output of `get_trends_sources` and `get_trends_devices`. Once indexed, you can ask for comparative analysis between different time periods.

Yes, the server provides full async support via the tool spec. You can call `to_tool_list_async` to integrate these metrics into your existing pipeline without blocking.

You pass an allowed_tools filter to the client initialization. This limits the agent to only the specific data points you want it to access.

Traffic metrics are processed in an isolated environment. Only your authorized endpoint token grants access, keeping your visitor behavior records private.

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