Clamp Analytics MCP Server

Overview

The Clamp Analytics MCP Server enables AI assistants to interact with Clamp's product analytics platform. Through the Model Context Protocol, AI models can query user behavior data, analyze event patterns, retrieve funnel metrics, and generate insights from your product analytics — all through natural language conversations.

Key Features

Installation

{
  "mcpServers": {
    "clamp": {
      "command": "npx",
      "args": [
        "-y",
        "@clamp/mcp-server"
      ],
      "env": {
        "CLAMP_API_KEY": "<your clamp api key>"
      }
    }
  }
}

Common Use Cases

• Product Analytics Queries: Ask natural language questions about user behavior and product metrics
• Automated Reporting: Let AI assistants generate regular analytics reports and insights
• User Research: Analyze user segments, retention patterns, and engagement trends
• Data-Driven Decisions: Get quick answers to product questions without opening analytics dashboards

When to Use This Server

Clamp is built for teams that want analytics answers without opening a dashboard. Instead of training stakeholders to navigate events and funnels in the UI, you let an assistant answer in natural language:

• Product reviews — Ask "how did onboarding conversion change this week?" and get a funnel answer grounded in your event data, with the drop-off point identified.
• Automated reporting — Wire an assistant to pull daily or weekly engagement, retention, and trend numbers so the report writes itself.
• User research — Segment users, inspect session behavior, and pull engagement metrics by cohort without writing SQL or learning Clamp's query language.

For a general-purpose analytics MCP that handles web/product analytics, see Google Analytics MCP; for event-based product analytics with a similar query model, see PostHog MCP.

Frequently Asked Questions

Sources

• GitHub - clamp-sh/mcp
• Clamp Website