GoatCounter MCP Server for CrewAIGive CrewAI 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

Connect your CrewAI agents to GoatCounter through Vinkius, pass the Edge URL in the `mcps` parameter and every GoatCounter tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="GoatCounter Specialist",
    goal="Help users interact with GoatCounter effectively",
    backstory=(
        "You are an expert at leveraging GoatCounter tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in GoatCounter "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 14 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Fully ManagedVinkius Servers

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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.

When paired with CrewAI, GoatCounter becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call GoatCounter tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI

When CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 14 tools from GoatCounter

Why Use CrewAI with the GoatCounter MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with GoatCounter through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

GoatCounter + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries GoatCounter for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries GoatCounter, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain GoatCounter tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries GoatCounter against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for GoatCounter in CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

GoatCounter + CrewAI FAQ

Common questions about integrating GoatCounter MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.

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