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 LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with OpenPanel through native MCP adapters. Connect 4 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
- —
The largest ecosystem of integrations, chains, and agents. combine OpenPanel MCP tools with 500+ LangChain components
- —
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
- —
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
- —
Memory and conversation persistence let agents maintain context across OpenPanel queries for multi-turn workflows
OpenPanel in LangChain
OpenPanel and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect OpenPanel to LangChain 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 LangChain
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 LangChain 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 LangChain
Every tool call from LangChain 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 LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
Explore More MCP Servers
View all →
Whop
11 toolsManage digital products, payments, and memberships on Whop with AI agents.

Spellbook Legal AI
13 toolsAI-powered contract drafting and review — analyze contracts, draft clauses, detect risks, and compare against 2,000+ market precedents via Spellbook.

OpenAI Alternative
13 toolsManage OpenAI resources via API — list models, monitor fine-tunes, manage batches and inspect Assistants from any AI agent.

Klipfolio
6 toolsBuild real-time business dashboards that pull from hundreds of data sources and give every stakeholder the metrics they need.
