GoSquared MCP Server for LlamaIndex 11 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add GoSquared as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to GoSquared. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in GoSquared?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About GoSquared MCP Server
Connect your GoSquared account to your AI agent and get instant, conversational access to your web analytics. Query real-time active visitors, track marketing campaign performance, and analyze historical traffic trends directly from your workflow.
LlamaIndex agents combine GoSquared tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Real-Time Analytics (Now API) — Check exactly how many visitors are on your site right now, what pages they are viewing, and where they came from
- Historical Trends (Trends API) — Analyze past traffic data, including page views, traffic sources, and campaign effectiveness over specific date ranges
- Audience Insights — Understand your visitors' technology preferences with detailed breakdowns of browsers and devices
The GoSquared MCP Server exposes 11 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect GoSquared to LlamaIndex via MCP
Follow these steps to integrate the GoSquared MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 11 tools from GoSquared
Why Use LlamaIndex with the GoSquared MCP Server
LlamaIndex provides unique advantages when paired with GoSquared through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine GoSquared tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain GoSquared tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query GoSquared, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what GoSquared tools were called, what data was returned, and how it influenced the final answer
GoSquared + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the GoSquared MCP Server delivers measurable value.
Hybrid search: combine GoSquared real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query GoSquared to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying GoSquared for fresh data
Analytical workflows: chain GoSquared queries with LlamaIndex's data connectors to build multi-source analytical reports
GoSquared MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect GoSquared to LlamaIndex via MCP:
get_now_campaigns
Get active campaigns currently driving traffic
get_now_overview
Get a top-level overview of concurrent active visitors
get_now_pages
Get a list of pages currently being viewed
get_now_sources
Get active traffic sources (referrers)
get_now_visitors
Get a list of individual visitors currently online
get_trends_browsers
Get historical browser breakdown data
get_trends_campaigns
Get historical campaign performance data
get_trends_devices
Get historical device breakdown data
get_trends_overview
Get historical aggregate data overview
get_trends_pages
Get historical aggregate data for pages
get_trends_sources
Get historical traffic sources data
Example Prompts for GoSquared in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with GoSquared immediately.
"How many visitors are on the site right now?"
"What were our top traffic sources yesterday?"
"Tell me what percentage of visitors today are using mobile phones."
Troubleshooting GoSquared MCP Server with LlamaIndex
Common issues when connecting GoSquared to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGoSquared + LlamaIndex FAQ
Common questions about integrating GoSquared MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect GoSquared with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect GoSquared to LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.