How to Use the GoatCounter MCP in CrewAI

Q: How do I restrict GoatCounter tools in CrewAI?

Use the toolfilter option in your agent configuration. This ensures that only specific agents have access to sensitive tools like updatesite.

Deploy specialized agent crews in CrewAI to monitor traffic, audit site settings, and export reports autonomously.

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Connect GoatCounter MCP to CrewAI

Create your Vinkius account to connect GoatCounter to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup GoatCounter with CrewAI

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Autonomous monitoring with CrewAI

Assign a dedicated agent to use `get_stats_total` and `get_stats_hits` for continuous traffic analysis. If the numbers look off, the agent alerts the rest of the crew. This allows for proactive management. You don't have to check the dashboard yourself; the crew handles the observation and notifies you of anomalies.

Multi-agent site maintenance

Let one agent handle `list_sites` while another performs `update_site` based on the current load. CrewAI coordinates these agents so their actions don't conflict. This is how you scale operations. You build a team of agents that share the workload of managing your tracking infrastructure.

Automated reporting pipelines

Set up a sequence where one agent calls `start_export` and a second agent waits for the file to be ready for `download_export`. The crew manages the handoff. You get your reports delivered to your local environment without writing custom scripts. The MCP tools provide the necessary interface for the agents to talk to the API.

Setup guide

Set up GoatCounter MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke GoatCounter tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="GoatCounter Analyst",
    goal="Access and analyze GoatCounter data via MCP.",
    backstory="Expert analyst with direct GoatCounter access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent GoatCounter transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="GoatCounter Analyst",
        goal="Access and analyze GoatCounter data via MCP.",
        backstory="Expert analyst with direct GoatCounter access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent GoatCounter transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GoatCounter. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about GoatCounter MCP in CrewAI

Yes. By giving your agents access to the site management tools, they can audit settings and make updates based on your requirements.

Use the tool_filter option in your agent configuration. This ensures that only specific agents have access to sensitive tools like `update_site`.

It does. You can have an agent fetch stats in the first step and a second agent perform an action based on those stats in the next.

It operates in a sandboxed environment. Your API key is the only gateway, and all communication is restricted to the defined toolset.

The server provides non-identifiable, aggregate metrics like browser types and page visit counts. No private user info is ever passed to your agents.

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