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

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add GoatCounter 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 for LlamaIndex

The GoatCounter MCP Server for LlamaIndex 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

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python
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 GoatCounter. "
            "You have 14 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in GoatCounter?"
    )
    print(response)

asyncio.run(main())
GoatCounter
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High SecurityEnterprise-grade
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<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.

LlamaIndex agents combine GoatCounter tool responses with indexed documents for comprehensive, grounded answers. Connect 14 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

  • 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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 14 tools from GoatCounter

Why Use LlamaIndex with the GoatCounter MCP Server

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

01

Data-first architecture: LlamaIndex agents combine GoatCounter tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain GoatCounter tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query GoatCounter, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what GoatCounter tools were called, what data was returned, and how it influenced the final answer

GoatCounter + LlamaIndex Use Cases

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

01

Hybrid search: combine GoatCounter real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query GoatCounter to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying GoatCounter for fresh data

04

Analytical workflows: chain GoatCounter queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for GoatCounter in LlamaIndex

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

01

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

02

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

03

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

Troubleshooting GoatCounter MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

GoatCounter + LlamaIndex FAQ

Common questions about integrating GoatCounter MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query GoatCounter tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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