Fathom Analytics MCP Server for Pydantic AI 12 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Fathom Analytics through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Fathom Analytics "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Fathom Analytics?"
)
print(result.data)
asyncio.run(main())
* 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 Fathom Analytics MCP Server
Connect your Fathom Analytics account to any AI agent and take full control of your website intelligence through natural conversation without compromising user privacy.
Pydantic AI validates every Fathom Analytics tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- Site Orchestration — List all managed websites and fetch detailed metadata for specific analytics properties
- Real-time Monitoring — Query current live visitor counts for any site to track immediate traffic spikes flawlessly
- Deep Aggregations — Extract granular metrics including uniques, pageviews, average duration, and bounce rates for specific periods
- Attribution Analysis — List top referrers and search terms to understand where your traffic is coming from natively
- Behavioral Insights — Query top-performing pages and device type distributions to optimize your content strategy
- Identity Context — Verify your API token user profile and account limits through the agent synchronously
The Fathom Analytics MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI 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 Fathom Analytics to Pydantic AI via MCP
Follow these steps to integrate the Fathom Analytics MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 12 tools from Fathom Analytics with type-safe schemas
Why Use Pydantic AI with the Fathom Analytics MCP Server
Pydantic AI provides unique advantages when paired with Fathom Analytics through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Fathom Analytics integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Fathom Analytics connection logic from agent behavior for testable, maintainable code
Fathom Analytics + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Fathom Analytics MCP Server delivers measurable value.
Type-safe data pipelines: query Fathom Analytics with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Fathom Analytics tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Fathom Analytics and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Fathom Analytics responses and write comprehensive agent tests
Fathom Analytics MCP Tools for Pydantic AI (12)
These 12 tools become available when you connect Fathom Analytics to Pydantic AI via MCP:
get_account_info
Get Fathom Analytics account information
get_current_visitors
Get the number of current visitors on a site
get_device_stats
Get device type aggregations for a site
get_event
Get details for a specific event
get_me
Get current API token user profile
get_pageviews
Get pageview aggregations for a site
get_referrers
Get top referrers for a site
get_site
Get details for a specific site
get_top_pages
Get top pages for a site
get_visitors
Get visitor aggregations for a site
list_events
List custom events for a specific site
list_sites
List all sites in your Fathom Analytics account
Example Prompts for Fathom Analytics in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Fathom Analytics immediately.
"How many visitors are on my site right now?"
"Show me pageview stats for last week."
"List my top referral sources."
Troubleshooting Fathom Analytics MCP Server with Pydantic AI
Common issues when connecting Fathom Analytics to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiFathom Analytics + Pydantic AI FAQ
Common questions about integrating Fathom Analytics MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Fathom Analytics with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Fathom Analytics to Pydantic AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.