Clamp Analytics MCP Server
Connect AI assistants to Clamp Analytics for product analytics, user behavior tracking, and data-driven insights through the Model Context Protocol.
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.
Open Source:
Developed by Clamp with 1,100+ stars on GitHub
Key Features
Event Analytics
Query and analyze custom events, page views, and user actions captured by Clamp.
User Insights
Retrieve user behavior data, session information, and engagement metrics.
Funnel Analysis
Analyze conversion funnels, drop-off points, and user flow patterns.
Trend Reports
Generate trend analysis and time-series reports from your product data.
Installation
{
"mcpServers": {
"clamp": {
"command": "npx",
"args": [
"-y",
"@clamp/mcp-server"
],
"env": {
"CLAMP_API_KEY": "<your clamp api key>"
}
}
}
}
API Key:
You need a Clamp API key. Sign up at clamp.dev to get your credentials.
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
Sources
Related Articles
Terraform MCP Server
Manage infrastructure as code with Terraform through your AI assistant - plan, apply, and inspect infrastructure resources.
Microsoft 365 MCP Server
Microsoft 365 MCP server provides unified access to Outlook mail, calendar, Teams, and files through the Microsoft Graph API for AI-powered productivity.
Redis MCP Server
Redis MCP servers enable AI models to interact with Redis databases, providing capabilities for key-value operations, caching, pub/sub messaging, and high-performance data structures.