PostHog MCP server integrationPostHog MCP server dashboards for product events and usage
Connect the PostHog MCP server to Chartbrew for product usage reporting. Explore event data, inspect properties, and use query results in dashboards for adoption and activity.
What You Can Track
What you can report on with PostHog MCP
Use these reporting ideas when the connected server exposes the required read tools and fields. Tool access, account permissions, and result limits determine what you can retrieve.
Event volume
Count a selected event by day to see changes in product activity.
Active users
Count distinct people for a defined event and reporting period.
Feature adoption
Group feature events by feature name or account property.
Traffic sources
Compare referrers or campaigns when those event properties exist.
Account usage
Summarize events by organization or workspace identifier.
Geographic activity
Group event location properties after checking their availability.
How It Works
From PostHog MCP connection to live dashboard
The PostHog MCP workflow is built around a source connection, reusable datasets, scheduled refreshes, and shareable dashboards.
Connect the MCP server
Select PostHog from the MCP connection list in Chartbrew. Select PostHog from the connection list and sign in to the correct account. Keep the read-only URL options. Approve schema tools for exploration and query tools for datasets.
Review and approve read tools
Test the connection and inspect the discovered tools. Approve the tools needed for AI exploration and datasets. Server access alone does not approve every tool.
Preview a dataset
Choose a tool, set its arguments, and preview the response. Select the output rows and fields. Check dates, units, filters, and result limits before saving.
Build and share the report
Create charts from the saved dataset. Add them to a dashboard, set a refresh schedule, and share the report with the intended viewers.
Why Chartbrew for PostHog MCP
Use PostHog MCP results in recurring reports
Bring product events and usage into a report that your team can inspect and share.
Control tool access
Approve read tools for the reporting task and review changes when the server tool definitions change.
Inspect the source result
Keep tool arguments and output selection available for review instead of relying only on an AI summary.
Reuse reporting datasets
Build charts from saved tool configurations when the response has suitable rows and fields.
Compare with other sources
Place PostHog MCP results beside revenue, product, or operational data from other connections.
Refresh saved results
Schedule dataset updates. Refreshes still depend on valid authentication, tool approval, and provider limits.
Share selected results
Give report viewers the dashboard data they need without asking them to configure an MCP connection.
Setup Requirements
Connect PostHog MCP
Select PostHog from the connection list and sign in to the correct account. Keep the read-only URL options. Approve schema tools for exploration and query tools for datasets.
Catalogue server URL: https://mcp.posthog.com/mcp?mode=tools&readonly=true
Permission to read the source records and approve the required tools in Chartbrew
A tool response with usable rows or structured fields; a prose answer alone may not work as a dataset
A defined reporting scope, date range, and plan for result limits; MCP results are not automatically paginated
Example datasets
| Dataset idea | What it can power |
|---|---|
| Event volume | Count a selected event by day to see changes in product activity. |
| Active users | Count distinct people for a defined event and reporting period. |
| Feature adoption | Group feature events by feature name or account property. |
| Traffic sources | Compare referrers or campaigns when those event properties exist. |
| Account usage | Summarize events by organization or workspace identifier. |
| Geographic activity | Group event location properties after checking their availability. |
Setup Guide
Read how external MCP connections work in Chartbrew v6
See the difference between bringing external MCP data into Chartbrew and connecting an AI app to Chartbrew's own server.
Related Features
Tools for PostHog MCP reporting
Use PostHog MCP dashboards with Chartbrew automation, AI workflows, sharing, embeds, filters, and reporting tools.
Related Integrations
Related data sources
Blend PostHog MCP metrics with product, customer, revenue, analytics, project, and operational data from other Chartbrew sources.
FAQ
PostHog MCP integration questions
Practical details about using PostHog MCP data in Chartbrew dashboards.
Connect PostHog MCP
Build a report from your PostHog MCP server
Connect the server, approve read tools, and check your first dataset before you build the dashboard.
