Analytics
Upload CSVs or connect GA4 and Google Search Console so your agent runs stats/ML and returns HTML analytics reports.
Overview
MCP Analytics is a Grow-phase MCP server that connects CSV, GA4, and GSC data to ML and statistical analysis with HTML report output.
What is this MCP server?
- Connect business data via CSV upload or live GA4 and GSC integrations
- Runs machine learning and statistical analysis, then emits HTML reports agents can share or archive
- Hosted remote MCP at api.mcpanalytics.ai/auth0 (streamable-http) with Auth0-backed access
- Version 1.0.5; open source at github.com/embeddedlayers/mcp-analytics
- Bridges developer agents with marketer-friendly report output instead of raw notebook cells only
- Registry version 1.0.5
- 1 remote endpoint: streamable-http at api.mcpanalytics.ai/auth0
- Data sources explicitly: CSV upload, GA4, and GSC
Community signal: 6 GitHub stars.
What problem does it solve?
Solo builders have data in GA4, GSC, and spreadsheets but lack a fast way to run analysis and readable reports from their coding agent.
Who is it for?
Indie SaaS founders post-launch who want GA4/GSC-aware analysis and shareable HTML reports from Claude Code or Cursor.
Skip if: Greenfield projects with no traffic data yet, or teams that need real-time infra monitoring instead of marketing analytics.
What do I get? / Deliverables
Your agent can query connected datasets through MCP and return HTML analytics reports without manually juggling notebooks and export files.
- ML and statistical analysis results on connected datasets
- HTML analytics reports suitable for review or sharing
- Agent-driven analytics workflow without a separate BI UI
Recommended MCP Servers
Journey fit
After launch, builders need measurable funnel and search/traffic insight—Grow analytics is where product and marketing decisions get evidence. Analytics subphase covers interpreting traffic, conversions, and datasets—not building the tracking code itself.
How it compares
Business analytics MCP (CSV/GA4/GSC), not finance signals or PCAP security tooling.
Common Questions / FAQ
Who is MCP Analytics for?
Solo builders and small teams shipping web products who need GA4, GSC, or CSV-driven analysis inside an MCP-enabled agent.
When should I use MCP Analytics?
Use it in Grow when you are reviewing traffic, search performance, or uploaded business metrics and want ML/stats plus HTML reports.
How do I add MCP Analytics to my agent?
Configure the remote MCP URL https://api.mcpanalytics.ai/auth0 as streamable-http, complete Auth0 sign-in per publisher docs, authorize GA4/GSC or upload CSV, then call analysis tools from your client.