Model Context Protocol (MCP) Server for Mixpanel Analytics

0
0 Reviews
3 Stars
This MCP server facilitates integration of Mixpanel analytics with AI workflows, allowing AI assistants to track user interactions, pageviews, signups, and profile updates seamlessly during conversations, enhancing data collection and analysis.
Added on:
Created by:
Apr 17 2025
Model Context Protocol (MCP) Server for Mixpanel Analytics

Model Context Protocol (MCP) Server for Mixpanel Analytics

0 Reviews
3
0
Model Context Protocol (MCP) Server for Mixpanel Analytics
This MCP server facilitates integration of Mixpanel analytics with AI workflows, allowing AI assistants to track user interactions, pageviews, signups, and profile updates seamlessly during conversations, enhancing data collection and analysis.
Added on:
Created by:
Apr 17 2025
moonbird AI
Featured

What is Model Context Protocol (MCP) Server for Mixpanel Analytics?

The Mixpanel MCP server is designed to integrate Mixpanel analytics into AI-driven workflows, enabling tools like Claude to automatically track specific events such as user actions, page visits, signups, and user profile updates through conversation prompts. It supports easy setup through npm and provides tools for tracking custom events, pageviews, and user profiles, providing in-depth insight into user behavior and engagement directly within AI interactions. This promotes improved data-driven decision-making and personalized user experiences, while maintaining simple integration with MCP clients across various platforms.

Who will use Model Context Protocol (MCP) Server for Mixpanel Analytics?

  • AI developers
  • Product teams using Mixpanel
  • Data analysts
  • Businesses integrating AI assistants
  • Developers working with MCP clients

How to use the Model Context Protocol (MCP) Server for Mixpanel Analytics?

  • Step 1: Install the MCP server via npm or clone the repository from GitHub
  • Step 2: Obtain a Mixpanel project token from Mixpanel dashboard
  • Step 3: Configure the server by adding your Mixpanel token
  • Step 4: Start the MCP server using node index.js --token YOUR_MIXPANEL_TOKEN
  • Step 5: Connect your MCP client or Claude Desktop to the server using stdio transport
  • Step 6: Use conversational prompts to track events, pageviews, signups, or update profiles
  • Step 7: Verify data appears in your Mixpanel project dashboard

Model Context Protocol (MCP) Server for Mixpanel Analytics's Core Features & Benefits

The Core Features
  • Track custom events
  • Track page views
  • Track user signups
  • Update user profiles
  • Seamless integration with Claude Desktop and MCP clients
The Benefits
  • Easy integration of analytics into AI workflows
  • Real-time user interaction tracking
  • Enhanced insights for product optimization
  • Supports multiple MCP clients
  • Open-source with license flexibility

Model Context Protocol (MCP) Server for Mixpanel Analytics's Main Use Cases & Applications

  • Embedding event tracking in AI chatbots for user interactions
  • Monitoring page visits via conversational prompts
  • Creating and updating user profiles directly through AI interfaces
  • Analyzing user engagement for product improvements

FAQs of Model Context Protocol (MCP) Server for Mixpanel Analytics

Developer

You may also like:

Developer Tools

A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.

Research And Data

A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.

AI Chatbot

Integrates APIs, AI, and automation to enhance server and client functionalities dynamically.
Provides long-term memory for LLMs by storing and retrieving contextual information via MCP standards.
An advanced clinical evidence analysis server supporting precision medicine and oncology research with flexible search options.
A platform collecting A2A agents, tools, servers, and clients for effective agent communication and collaboration.
A Spring-based chatbot for Cloud Foundry that integrates with AI services, MCP, and memGPT for advanced capabilities.
An AI agent controlling macOS using OS-level tools, compatible with MCP, facilitating system management via AI.
PHP client library enabling interaction with MCP servers via SSE, StdIO, or external processes.
A platform for managing and deploying autonomous agents, tools, servers, and clients for automation tasks.
Enables interaction with powerful Text to Speech and video generation APIs for multimedia content creation.
An MCP server providing API access to RedNote (XiaoHongShu, xhs) for seamless integration.