Pirsch Analytics MCP Server for LlamaIndexGive LlamaIndex instant access to 14 tools to Create Domain, Get Statistics Active, Get Statistics Events, and more

Name: Pirsch Analytics
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Pirsch Analytics as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The Pirsch Analytics MCP Server for LlamaIndex is a standout in the Data Analytics category — giving your AI agent 14 tools to work with, ready to go from day one.

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python

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 Pirsch Analytics. "
            "You have 14 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Pirsch Analytics?"
    )
    print(response)

asyncio.run(main())

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About Pirsch Analytics MCP Server

Connect Pirsch Analytics to your AI agent to monitor your website traffic and user behavior without compromising privacy. This MCP server allows you to collect data and query complex statistics through natural language.

LlamaIndex agents combine Pirsch Analytics tool responses with indexed documents for comprehensive, grounded answers. Connect 14 tools through 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

Traffic Monitoring — Retrieve overview, visitor, and page statistics for any of your domains using specific date ranges.
Event Tracking — Send individual or batch hits and events to track user conversions and interactions in real-time.
Domain Management — List all configured domains and create new ones directly through the API.
Referrer & Source Analysis — Analyze where your traffic is coming from with detailed referrer and UTM source statistics.
Real-time Insights — Access active visitor counts and goal completion metrics to stay on top of your site's performance.

Connect Pirsch Analytics to LlamaIndex via MCP

Follow these steps to wire Pirsch Analytics into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 14 tools from Pirsch Analytics

Why Use LlamaIndex with the Pirsch Analytics MCP Server

LlamaIndex provides unique advantages when paired with Pirsch Analytics through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Pirsch Analytics tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Pirsch Analytics tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Pirsch Analytics, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Pirsch Analytics tools were called, what data was returned, and how it influenced the final answer

Pirsch Analytics + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Pirsch Analytics MCP Server delivers measurable value.

Hybrid search: combine Pirsch Analytics real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Pirsch 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 Pirsch Analytics for fresh data

Analytical workflows: chain Pirsch Analytics queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Pirsch Analytics in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Pirsch Analytics immediately.

"Get visitor statistics for domain ID 'abc-123' from 2023-10-01 to 2023-10-31."

"Track a page view for 'https://example.com/pricing' from IP 1.2.3.4."

"List all my domains configured in Pirsch."

Troubleshooting Pirsch Analytics MCP Server with LlamaIndex

Common issues when connecting Pirsch Analytics to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Pirsch Analytics + LlamaIndex FAQ

Common questions about integrating Pirsch Analytics MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Pirsch Analytics tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.