GoSquared MCP Server for LangChain 11 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect GoSquared through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"gosquared": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using GoSquared, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with GoSquared through native MCP adapters. Connect 11 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the GoSquared MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 11 tools from GoSquared via MCP
Why Use LangChain with the GoSquared MCP Server
LangChain provides unique advantages when paired with GoSquared through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine GoSquared MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across GoSquared queries for multi-turn workflows
GoSquared + LangChain Use Cases
Practical scenarios where LangChain combined with the GoSquared MCP Server delivers measurable value.
RAG with live data: combine GoSquared tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query GoSquared, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain GoSquared tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every GoSquared tool call, measure latency, and optimize your agent's performance
GoSquared MCP Tools for LangChain (11)
These 11 tools become available when you connect GoSquared to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting GoSquared to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersGoSquared + LangChain FAQ
Common questions about integrating GoSquared MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.