Amplitude MCP Server: Give AI Access to Your Product Analytics

# Amplitude MCP Server: Give AI Access to Your Product Analytics

Amplitude holds the truth about how users interact with your product. When your AI can query events, pull cohort data, and check funnel performance, product decisions happen faster.

With DataFaucet, you can create a hosted Amplitude MCP server in 60 seconds. No API key management, no SDK configuration, no custom analytics code.

What Your AI Can Do With Amplitude Access

Once connected, your AI tools gain these capabilities:

• Query event data with filters and date ranges
• Check funnel conversion rates between steps
• Pull retention curves for specific cohorts
• List user segments and their properties
• View dashboard charts and key metrics
• Search for events by name or property

How to Build It

DataFaucet opens Amplitude in a cloud browser. It captures every API call behind your clicks, then packages them into MCP tool definitions.

1. Enter analytics.amplitude.com in DataFaucet
2. Browse: check a chart, run a funnel query, view retention, explore segments
3. DataFaucet captures the underlying API traffic
4. Deploy as a hosted MCP server with one click

Connect from any MCP client:

claude mcp add my-amplitude https://datafaucet.dev/api/mcp/YOUR_SERVER_ID

Example Prompts After Connecting

Once your Amplitude MCP server is live:

• "What's the 7-day retention for users who signed up last week?"
• "Show me the conversion funnel from signup to first purchase"
• "Which events have the highest correlation with 30-day retention?"
• "How many daily active users did we have this week vs last week?"
• "Pull the top events by volume for the mobile segment"
• "What's the drop-off rate between step 2 and step 3 of onboarding?"

Why MCP Instead of Amplitude's Built-In AI

Amplitude has its own AI features (Ask Amplitude, AI-generated charts). An MCP server gives you something different: analytics access inside your development environment.

The power move: query Amplitude data while you're writing code in Cursor. Check if a feature is actually being used before refactoring it.

Common Workflows

Feature validation: "How many users triggered the new_export event this week? What's the completion rate?"

Sprint planning: "Pull retention for the last 3 cohorts. Which onboarding changes correlated with improvement?"

Bug triage: "Did the error_page_shown event spike after yesterday's deploy?"

Stakeholder updates: "Give me DAU, WAU, and the signup→activation funnel numbers for this month."

Combine With Other MCP Servers

Pair Amplitude with other DataFaucet servers for data-driven workflows:

• Amplitude + Jira MCP: "The signup funnel dropped 5%. Create a P1 ticket with the data."
• Amplitude + Slack MCP: "Post this week's retention numbers to #product-metrics."
• Amplitude + GitHub MCP: "Check if the feature flag removal correlates with the event spike."
• Amplitude + Notion MCP: "Update the metrics doc with this quarter's funnel performance."

Works Everywhere

Your Amplitude MCP server connects to Claude Desktop, Cursor, Windsurf, Codex, and any MCP-compatible client. Query analytics from Claude, check metrics in Cursor, pull charts from Windsurf.

Get Started

Create your Amplitude MCP server in 60 seconds. Free tier includes 3 servers, no credit card required.

Related: Datadog MCP Server for infrastructure metrics, Snowflake MCP Server for data warehouse queries, Google Sheets MCP Server for spreadsheet data, Jira MCP Server for issue tracking, Google Analytics MCP Server for traffic data.