GoatCounter MCP Server for LangChainGive LangChain instant access to 14 tools to Count Hits, Create Site, Download Export, and more

Name: GoatCounter
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect GoatCounter through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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The GoatCounter MCP Server for LangChain is a standout in the Productivity category — giving your AI agent 14 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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ChatGPT

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VS Code

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+ other MCP clients

python

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({
        "goatcounter": {
            "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 GoatCounter, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 GoatCounter MCP Server

Connect your GoatCounter account to any AI agent to monitor your web traffic without compromising user privacy. This MCP server allows you to query detailed statistics, manage site configurations, and handle data exports through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with GoatCounter through native MCP adapters. Connect 14 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

Traffic Insights — Retrieve pageview counts, total hits, and referral statistics for specific paths.
Visitor Analytics — Break down stats by categories such as browsers, operating systems, locations, and languages.
Data Portability — Initiate, monitor, and download full CSV/JSON data exports for external analysis.
Site Management — List all your registered sites, create new ones, or update existing site configurations.
Custom Event Tracking — Send hits or events directly from your backend or middleware to your GoatCounter dashboard.

The GoatCounter MCP Server exposes 14 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 14 GoatCounter tools available for LangChain

When LangChain connects to GoatCounter through Vinkius, your AI agent gets direct access to every tool listed below — spanning web-analytics, privacy-focused, traffic-monitoring, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

count

Count hits on GoatCounter

Send pageviews or events to GoatCounter

create

Create site on GoatCounter

Create a new site

download

Download export on GoatCounter

Download a completed export file

get

Get export on GoatCounter

Get export status and metadata

get

Get me on GoatCounter

Get current user and API key info

get

Get site on GoatCounter

Detailed information about a site

get

Get stats hits on GoatCounter

Overview of pageviews per path

get

Get stats hits path on GoatCounter

Referral statistics for a specific path

get

Get stats page on GoatCounter

Stats for specific categories (browsers, systems, etc)

get

Get stats page detail on GoatCounter

g., browser versions). Detailed stats for a specific item in a category

get

Get stats total on GoatCounter

Total pageview counts for a date range

list

List sites on GoatCounter

List all sites accessible by the user

start

Start export on GoatCounter

Returns an export ID to check status. Start a new data export in the background

update

Update site on GoatCounter

Update site settings

Connect GoatCounter to LangChain via MCP

Follow these steps to wire GoatCounter into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 14 tools from GoatCounter via MCP

Why Use LangChain with the GoatCounter MCP Server

LangChain provides unique advantages when paired with GoatCounter through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine GoatCounter 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 GoatCounter queries for multi-turn workflows

GoatCounter + LangChain Use Cases

Practical scenarios where LangChain combined with the GoatCounter MCP Server delivers measurable value.

RAG with live data: combine GoatCounter tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query GoatCounter, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain GoatCounter tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every GoatCounter tool call, measure latency, and optimize your agent's performance

Example Prompts for GoatCounter in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with GoatCounter immediately.

"Show me the total pageview counts for the last 30 days."

"List all the sites registered in my GoatCounter account."

"Get detailed stats for browser versions used by my visitors."

Troubleshooting GoatCounter MCP Server with LangChain

Common issues when connecting GoatCounter to LangChain through Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

GoatCounter + LangChain FAQ

Common questions about integrating GoatCounter MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use 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?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.