Compatible with every major AI agent and IDE
What is the OpenPanel MCP Server?
Connect your OpenPanel account to any AI agent and manage your product analytics and user profiles through natural conversation.
What you can do
- Event Tracking — Record user actions and events with custom properties to understand application usage.
- User Identification — Link events to specific individuals and maintain consistent user profiles across sessions.
- Property Management — Dynamically increment or decrement numeric properties on user profiles (e.g., credits, points, or login counts).
- Profile Enrichment — Set traits and custom metadata on user profiles to segment your audience effectively.
How it works
- Subscribe to this server
- Enter your OpenPanel API Key
- Start tracking events and managing users from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Product Managers — track feature adoption and user milestones without writing code.
- Developers — integrate analytics tracking into workflows and verify event payloads instantly.
- Growth Hackers — update user traits and manage reward points or usage limits via simple commands.
Built-in capabilities (4)
Decrement a numeric property on a user profile
Identify a user in OpenPanel
Increment a numeric property on a user profile
Track an event in OpenPanel
Why Pydantic AI?
Pydantic AI validates every OpenPanel tool response against typed schemas, catching data inconsistencies at build time. Connect 4 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
- —
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your OpenPanel integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your OpenPanel connection logic from agent behavior for testable, maintainable code
OpenPanel in Pydantic AI
OpenPanel and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect OpenPanel to Pydantic AI 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 OpenPanel in Pydantic AI
The OpenPanel 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 4 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI 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
OpenPanel for Pydantic AI
Every tool call from Pydantic AI to the OpenPanel MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I track a specific user action like a button click?
Use the track_event tool. Provide the event name (e.g., 'Button Clicked') and optionally include a profile_id and custom properties to add context to the action.
Can I update user profile information or traits?
Yes! Use the identify_user tool with the user's profile_id. You can pass a JSON object of properties to set or update traits like email, name, or subscription status.
How do I manage numeric counters like 'points' or 'credits' for a user?
You can use increment_property to increase a value or decrement_property to decrease it. Just specify the profile_id, the property name, and the value to change.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your OpenPanel MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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