Piwik PRO MCP Server for LlamaIndex 6 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Piwik PRO 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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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 Piwik PRO. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in Piwik PRO?"
)
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 Piwik PRO MCP Server
Connect your Piwik PRO Analytics Suite to any AI agent and take full control of your privacy-compliant data workflows through natural conversation.
LlamaIndex agents combine Piwik PRO tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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
- Analytics Discovery — List all websites and apps (containers) tracked in your Piwik PRO account.
- Custom Reporting — Execute complex analytics queries using JSON to extract specific dimensions and metrics.
- Goal Tracking — List and monitor conversion goals for any specific application.
- Dashboard Visibility — List available dashboards to maintain an overview of your analytical insights.
- Admin Oversight — List account users and tracking sites to manage your organization's setup.
The Piwik PRO MCP Server exposes 6 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 Piwik PRO to LlamaIndex via MCP
Follow these steps to integrate the Piwik PRO 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 6 tools from Piwik PRO
Why Use LlamaIndex with the Piwik PRO MCP Server
LlamaIndex provides unique advantages when paired with Piwik PRO through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Piwik PRO tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Piwik PRO tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Piwik PRO, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Piwik PRO tools were called, what data was returned, and how it influenced the final answer
Piwik PRO + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Piwik PRO MCP Server delivers measurable value.
Hybrid search: combine Piwik PRO real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Piwik PRO 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 Piwik PRO for fresh data
Analytical workflows: chain Piwik PRO queries with LlamaIndex's data connectors to build multi-source analytical reports
Piwik PRO MCP Tools for LlamaIndex (6)
These 6 tools become available when you connect Piwik PRO to LlamaIndex via MCP:
list_piwik_apps
List all websites/apps in Piwik PRO
list_piwik_dashboards
List Piwik PRO dashboards
list_piwik_goals
List goals for a specific app
list_piwik_sites
List tracking sites
list_piwik_users
List account users
query_piwik_analytics
Requires a JSON query body. Execute a custom analytics query
Example Prompts for Piwik PRO in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Piwik PRO immediately.
"List all websites tracked in my Piwik PRO account."
"What are the conversion goals defined for the 'E-commerce Portal' (ID: 12345)?"
"List all users with access to our Piwik PRO organization."
Troubleshooting Piwik PRO MCP Server with LlamaIndex
Common issues when connecting Piwik PRO to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpPiwik PRO + LlamaIndex FAQ
Common questions about integrating Piwik PRO 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 Piwik PRO 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 Piwik PRO to LlamaIndex
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.