How to Use the Fathom Analytics MCP in AutoGen
Let AutoGen agents debate and analyze your Fathom Analytics traffic data autonomously.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Fathom Analytics MCP to AutoGen
Create your Vinkius account to connect Fathom Analytics to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Run multi-agent debates on traffic performance
When traffic drops, you need a strategy, not just a chart. AutoGen lets you deploy a marketing agent and a product agent that debate the cause using data from `get_referrers` and `get_top_pages`. One agent might blame a drop in search traffic while the other points to product changes. They negotiate a solution by calling tools to prove their points. The marketing agent checks `list_events` to see if a campaign ended, while the product agent pulls `get_device_stats` to check for mobile bugs.
Connect the Fathom Analytics MCP Server to AutoGen
Integrating this server with your conversational workflow is straightforward. AutoGen uses MCP server tools to parse the schemas of tools like `get_current_visitors` and `get_visitors` automatically. Your agents can immediately start discussing live traffic without manual schema mapping. The adapter handles all JSON conversions behind the scenes. This ensures that your agents receive clean, typed inputs when executing metrics queries like `get_pageviews`.
Automate traffic auditing with consensus-driven agents
Set up a system where agents must agree before flagging an anomaly. An auditor agent can monitor `get_current_visitors` and alert a coordinator agent if numbers spike. Together, they decide whether to scale up servers or log a security alert. This eliminates false alarms in your operations. By requiring consensus based on tools like `get_site` and `get_visitors`, your agents only escalate real issues.
Set up Fathom Analytics MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes Fathom Analytics tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="Fathom Analytics_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Fathom Analytics data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="Fathom Analytics_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Fathom Analytics data")
print(result.messages[-1].content) 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Fathom Analytics MCP in AutoGen
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Fathom Analytics MCP today
We host it, we monitor it, we maintain it. You just paste one token.