Bring Web Analytics
to LlamaIndex
Learn how to connect Pirsch Analytics to LlamaIndex and start using 14 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your Pirsch Access Token (Client Secret)
- Start querying your analytics from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Marketing Managers — get instant reports on campaign performance and visitor trends without opening a dashboard.
- Developers — integrate tracking hits and events into automated workflows or check site health from the CLI/IDE.
- Data Analysts — extract raw statistics and overview metrics for custom reporting and performance audits.
Built-in capabilities (14)
Create a new domain
Get active visitors statistics
Get events list statistics
Get conversion goals statistics
Get overview statistics for a domain
Get page statistics
Get referrer statistics
Get UTM source statistics
Get visitor statistics
List all domains
Send an event to Pirsch
Send a batch of events
Send as much information as possible for accurate analytics. Send a page view (hit) to Pirsch
Send a batch of page views (hits)
Why LlamaIndex?
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.
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Data-first architecture: LlamaIndex agents combine Pirsch Analytics tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Pirsch Analytics tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Pirsch Analytics, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Pirsch Analytics tools were called, what data was returned, and how it influenced the final answer
Pirsch Analytics in LlamaIndex
Pirsch Analytics and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Pirsch Analytics to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Pirsch Analytics in LlamaIndex
The Pirsch Analytics 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. All 14 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Pirsch Analytics for LlamaIndex
Every tool call from LlamaIndex to the Pirsch Analytics MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I get a quick summary of my website's performance for a specific period?
You can use the get_statistics_overview tool. Just provide the Domain ID and the start/end dates (YYYY-MM-DD). The agent will return key metrics like visitors, views, and bounce rate.
Is it possible to track custom user actions like button clicks?
Yes! Use the send_event tool. You'll need to provide the event name, the current URL, and visitor details (IP and User-Agent) to record the interaction in Pirsch.
Can I see which pages are the most popular on my site?
Absolutely. Use the get_statistics_page tool with your Domain ID and date range. It will list the top pages along with their respective view counts and visitor data.
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.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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