Fathom Analytics MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Fathom Analytics as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Fathom Analytics. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Fathom Analytics?"
)
print(response)
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.
LlamaIndex agents combine Fathom Analytics tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Fathom Analytics MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the Fathom Analytics MCP Server
LlamaIndex provides unique advantages when paired with Fathom Analytics through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Fathom Analytics tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Fathom Analytics tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Fathom Analytics, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Fathom Analytics tools were called, what data was returned, and how it influenced the final answer
Fathom Analytics + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Fathom Analytics MCP Server delivers measurable value.
Hybrid search: combine Fathom Analytics real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Fathom Analytics to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Fathom Analytics for fresh data
Analytical workflows: chain Fathom Analytics queries with LlamaIndex's data connectors to build multi-source analytical reports
Fathom Analytics MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Fathom Analytics to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Fathom Analytics to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFathom Analytics + LlamaIndex FAQ
Common questions about integrating Fathom Analytics MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.