Plausible MCP Server: Give AI Agents Access to Your Privacy-First Analytics

Why Give AI Access to Plausible?

Plausible is the privacy-first, open source analytics platform developers choose as a lightweight alternative to Google Analytics. When building features or checking traffic impact, you switch between your editor and Plausible to check pageviews, review referral sources, validate goal conversions, and monitor real-time visitors. Each context switch costs focus during development.

An MCP server turns your Plausible dashboard into structured tools that AI coding assistants (Claude, Cursor, Windsurf) can call directly. Instead of switching to Plausible to check traffic or goal data, your AI reads them in real-time while you work.

What AI Agents Can Do with Plausible Access

With a DataFaucet MCP server pointed at your Plausible dashboard, AI tools can:

• Query pageviews — visitor counts, unique visitors, and page-level traffic data
• Check sources — referral sources, UTM campaigns, and traffic channel breakdown
• Read goals — custom event conversions, goal completion rates, and funnel progress
• Pull locations — visitor countries, cities, and region-level analytics
• Monitor real-time — current active visitors and live page activity

Setting Up Plausible as an MCP Server with DataFaucet

1. Open DataFaucet and start a capture session
2. Navigate to your Plausible dashboard and browse pages, sources, goals, and locations
3. DataFaucet captures the API patterns Plausible uses internally
4. Deploy and connect to your AI coding tool

claude mcp add plausible-analytics https://your-datafaucet-server.dev/sse

Your AI now has structured tool access to your Plausible analytics data.

Example Queries After Setup

Once connected, ask your AI questions like:

• "How many visitors hit the pricing page today?"
• "What are the top 5 referral sources this week?"
• "Did the signup goal conversion rate change after yesterday's deploy?"
• "How many active visitors are on the site right now?"
• "What percentage of traffic comes from organic search?"

Each query returns structured data your AI can use in code, A/B test decisions, or deployment validation workflows.

Why DataFaucet Instead of the Plausible API?

Plausible offers a Stats API, but it requires API key generation, endpoint configuration, and query parameter formatting. DataFaucet captures from your authenticated session in minutes:

No API keys to generate. No query parameter syntax to learn. Full dashboard access including real-time data.

Use Cases by Role

Indie developers — AI checks traffic impact after shipping a feature or publishing content, validating that changes drive visits without leaving the editor.

Content engineers — AI queries page-level traffic to identify high-performing content and inform where to add internal links or CTAs.

DevOps teams — AI monitors real-time visitor counts during and after deployments to catch traffic drops indicating broken routes.

Works With Any MCP Client

DataFaucet MCP servers are compatible with every MCP client:

• Claude Desktop / Claude Code — claude mcp add
• Cursor — add to .cursor/mcp.json
• Windsurf — add in MCP settings panel
• Any MCP-compatible tool — standard SSE transport

Getting Started

1. Visit DataFaucet
2. Capture your Plausible dashboard API calls
3. Deploy your MCP server
4. Connect to Claude, Cursor, or Windsurf

Your AI coding assistant now has real-time access to your Plausible pageviews, traffic sources, goals, and visitor data.