Bring Product Analytics
to LangChain
Create your Vinkius account to connect PostHog to LangChain and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
Compatible with every major AI agent and IDE
What is the PostHog MCP Server?
Connect your PostHog project to any AI agent and take full control of your product analytics and feature management through natural conversation.
What you can do
- Insight Exploration — List and retrieve detailed metadata for saved insights, including trends, funnels, and retention charts.
- User Tracking — List identified persons and inspect their properties to understand individual user behavior.
- Feature Management — Maintain a clear view of all feature flags and their current configurations.
- Experiment Monitoring — List active and past experiments to track product improvements and results.
- Event Auditing — List the most recent events captured by your project to verify data ingestion and user actions.
How it works
- Subscribe to this server
- Enter your PostHog Personal API Key and Project ID
- (Optional) Provide your PostHog Host (e.g., for EU instances)
- Start analyzing your product directly from Claude, Cursor, or any MCP client
Who is this for?
- Product Managers — quickly check the status of a feature flag or review the results of a recent insight.
- Growth Engineers — monitor active experiments and user properties during development.
- Data Analysts — audit recent event logs and person metadata without leaving your workflow.
Built-in capabilities (10)
Get details for a specific event
Get details for a specific insight
Get details for a specific person
List defined user actions
List project dashboards
List recent project events
List all active and past experiments
List all feature flags
) for the project. List PostHog insights
List identified persons/users
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with PostHog through native MCP adapters. Connect 10 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 PostHog MCP tools with 500+ LangChain components
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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
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Memory and conversation persistence let agents maintain context across PostHog queries for multi-turn workflows
PostHog in LangChain
Why run PostHog with Vinkius?
The PostHog connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.




Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect PostHog using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
PostHog and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect PostHog to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
PostHog for LangChain
Every request between LangChain and PostHog is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Where do I find my Project ID?
You can find your Project ID in PostHog under Project Settings. It is a numeric ID usually found at the top of the settings page.
Does this support PostHog EU instances?
Yes! Use the optional POSTHOG_HOST credential and set it to https://eu.posthog.com. By default, it uses the US host (https://app.posthog.com).
Can I see individual user properties?
Absolutely. Use the get_person tool with a Person ID to retrieve all properties, tags, and identification metadata for a specific user.
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
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