Bring Web Analytics
to CrewAI
Learn how to connect GoatCounter to CrewAI and start using 14 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your GoatCounter API Key and your instance URL
- Start analyzing your web traffic from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Web Developers — monitor site performance and visitor trends without leaving the code editor.
- Data Analysts — automate the extraction of privacy-compliant analytics for custom reporting.
- Site Owners — get quick summaries of daily traffic and top-performing content via simple chat commands.
Built-in capabilities (14)
Send pageviews or events to GoatCounter
Create a new site
Download a completed export file
Get export status and metadata
Get current user and API key info
Detailed information about a site
Overview of pageviews per path
Referral statistics for a specific path
Stats for specific categories (browsers, systems, etc)
g., browser versions). Detailed stats for a specific item in a category
Total pageview counts for a date range
List all sites accessible by the user
Returns an export ID to check status. Start a new data export in the background
Update site settings
Why CrewAI?
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.
- —
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
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter 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
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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 in CrewAI
GoatCounter and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect GoatCounter to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for GoatCounter in CrewAI
The GoatCounter 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. All 14 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
GoatCounter for CrewAI
Every tool call from CrewAI to the GoatCounter MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I see which browsers my visitors are using?
Yes. Use the get_stats_page tool with the 'browsers' category to see a breakdown of visitor browser statistics for your chosen date range.
How do I export all my analytics data for backup?
You can start a background export using start_export. Once processed, use get_export to check the status and download_export to retrieve the file.
Is it possible to track custom events from my server code?
Absolutely. The count_hits tool allows you to send pageviews or custom events directly to GoatCounter from any backend or middleware.
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.
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.
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