Fathom Analytics MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Fathom Analytics through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"fathom-analytics": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Fathom Analytics, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Fathom Analytics through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Fathom Analytics MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 12 tools from Fathom Analytics via MCP
Why Use LangChain with the Fathom Analytics MCP Server
LangChain provides unique advantages when paired with Fathom Analytics through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Fathom Analytics MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Fathom Analytics queries for multi-turn workflows
Fathom Analytics + LangChain Use Cases
Practical scenarios where LangChain combined with the Fathom Analytics MCP Server delivers measurable value.
RAG with live data: combine Fathom Analytics tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Fathom Analytics, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Fathom Analytics tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Fathom Analytics tool call, measure latency, and optimize your agent's performance
Fathom Analytics MCP Tools for LangChain (12)
These 12 tools become available when you connect Fathom Analytics to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Fathom Analytics to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersFathom Analytics + LangChain FAQ
Common questions about integrating Fathom Analytics MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.