Compatible with every major AI agent and IDE
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 OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 14 tools from Pirsch Analytics through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Pirsch Analytics, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- —
Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
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Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Pirsch Analytics in OpenAI Agents SDK
Pirsch Analytics and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Pirsch Analytics to OpenAI Agents SDK 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 OpenAI Agents SDK
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 OpenAI Agents SDK 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 OpenAI Agents SDK
Every tool call from OpenAI Agents SDK 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 the OpenAI Agents SDK connect to MCP?
Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
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