How to Use the Fathom Analytics MCP in CrewAI

Q: How do I restrict which Fathom Analytics tools my CrewAI agents use?

You use the toolfilter option in the CrewAI MCP configuration. This allows you to whitelist only the Fathom Analytics tools your agents actually need for their specific roles.

Deploy a specialized crew of agents for site monitoring using the Fathom Analytics MCP Server and CrewAI.

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Connect Fathom Analytics MCP to CrewAI

Create your Vinkius account to connect Fathom Analytics 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 Fathom Analytics with CrewAI

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Perplexity

Autonomous monitoring crews

Assign a dedicated agent to track site performance. Using `get_device_stats` and `get_pageviews`, your agent builds a mental model of your traffic sources while you focus on other tasks. This lets you offload routine checking. The agent works in the background, providing a summary whenever you ask for a status update.

Hierarchical data analysis

Structure your crew so one agent researches trends and another acts on them. The researcher pulls data with `get_referrers`, while the moderator agent decides if the marketing team needs an alert. This division of labor makes your operation scalable. You handle the strategy, and the crew manages the execution of the data retrieval.

Cross-site data aggregation

Manage a portfolio of sites with ease. Your crew can iterate through your account using `list_sites` and run `get_top_pages` for each to identify which projects need your attention. This is ideal for managing multiple domains. You get a birds-eye view of your entire analytics portfolio without checking every dashboard individually.

Setup guide

Set up Fathom Analytics 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 Fathom Analytics tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Fathom Analytics 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 →

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="Fathom Analytics Analyst",
        goal="Access and analyze Fathom Analytics data via MCP.",
        backstory="Expert analyst with direct Fathom Analytics access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Fathom Analytics 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 Fathom Analytics. 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 Fathom Analytics MCP in CrewAI

Yes, you can configure your agent crew to iterate through all sites in your account. The agents will pull metrics for each domain sequentially or in parallel.

By providing real-world traffic data, your agents can make informed decisions. Fathom Analytics offers clean, aggregate metrics that prevent agents from hallucinating based on bad data.

Fathom Analytics ensures all data is anonymized. Your crew only interacts with aggregate site-wide statistics, ensuring no individual user data is ever exposed or processed.

No, you pass the MCP server URL directly to your agent definition. CrewAI handles the connection to Fathom Analytics automatically, making tools ready for use.

You use the tool_filter option in the CrewAI MCP configuration. This allows you to whitelist only the Fathom Analytics tools your agents actually need for their specific roles.

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