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 LlamaIndex?
LlamaIndex agents combine OpenPanel tool responses with indexed documents for comprehensive, grounded answers. Connect 4 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 OpenPanel tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain OpenPanel tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query OpenPanel, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what OpenPanel tools were called, what data was returned, and how it influenced the final answer
OpenPanel in LlamaIndex
OpenPanel and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect OpenPanel 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 OpenPanel in LlamaIndex
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 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
OpenPanel for LlamaIndex
Every tool call from LlamaIndex 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 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 OpenPanel 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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