How do I find my Plausible API Key?

In your Plausible account, go to **Settings** > **API keys**. There you can generate and copy your access token.

The Site ID is usually the domain of your website as registered in Plausible (e.g., `example.com`).

Can I see stats for today only?

Yes! Use the `get_aggregate_stats` tool and provide `day` as the period parameter.

Plausible MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Plausible
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Plausible Specialist",
    goal="Help users interact with Plausible effectively",
    backstory=(
        "You are an expert at leveraging Plausible 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 Plausible "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

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

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* 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 Plausible MCP Server

Connect your Plausible Analytics account to any AI agent and take full control of your website performance metrics through natural conversation.

When paired with CrewAI, Plausible becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Plausible 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

Real-time Insights — Get the current number of active visitors on your site.
Aggregate Performance — Retrieve total visitors, pageviews, bounce rates, and visit durations for any period (30d, 7d, today).
Growth Tracking — Fetch timeseries data to understand your traffic trends over time.
Audience Breakdown — Analyze your visitors by top sources, pages, countries, devices, browsers, and operating systems.
Custom Property Analysis — Break down stats by any custom property supported by the Plausible API.

The Plausible MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI 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 Plausible to CrewAI via MCP

Follow these steps to integrate the Plausible MCP Server with CrewAI.

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 10 tools from Plausible

Why Use CrewAI with the Plausible MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Plausible 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

Plausible + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Plausible 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 Plausible, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Plausible 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 Plausible against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Plausible MCP Tools for CrewAI (10)

These 10 tools become available when you connect Plausible to CrewAI via MCP:

get_aggregate_stats

, for a period (e.g., "30d", "7d", "day"). Get aggregate site statistics

get_custom_breakdown

g., "visit:source", "event:page"). Get breakdown by custom property

get_realtime_visitors

Get current active visitors

get_timeseries_stats

Get site stats over time

get_top_browsers

Get visitors by browser

get_top_countries

Get visitors by country

get_top_devices

Get visitors by device type

get_top_os

Get visitors by operating system

get_top_pages

Get most visited pages

get_top_sources

Get top traffic sources

Example Prompts for Plausible in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Plausible immediately.

"How many visitors are on my site right now?"

"Show me the top 5 pages by traffic for the last 7 days."

"What was my bounce rate for the last 30 days?"

Troubleshooting Plausible MCP Server with CrewAI

Common issues when connecting Plausible to CrewAI through the 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.

Plausible + CrewAI FAQ

Common questions about integrating Plausible 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.