Amplitude▌
by amplitude
Amplitude integrates with leading data analytics software to access product data, experiments, and user metrics through
Integrates with Amplitude analytics platform to provide direct access to product data, experiments, user behavior metrics, dashboards, and feature flags through natural language queries while maintaining existing user permissions and access controls.
github stars
★ —
best for
- / Product managers analyzing user engagement
- / Data analysts creating custom reports
- / Engineers monitoring feature adoption
- / Growth teams tracking experiment outcomes
capabilities
- / Query user behavior analytics data
- / Access experiment results and A/B test metrics
- / Retrieve dashboard data and visualizations
- / Monitor feature flag performance
- / Extract product usage statistics
- / Generate reports from analytics data
what it does
Connects to your Amplitude analytics account to query product data, user behavior metrics, and experiment results through natural language. Maintains your existing permissions and access controls.
about
Amplitude is an official MCP server published by amplitude that provides AI assistants with tools and capabilities via the Model Context Protocol. Amplitude integrates with leading data analytics software to access product data, experiments, and user metrics through
how to install
You can install Amplitude in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
license
MIT
Amplitude is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
FAQ
- What is the Amplitude MCP server?
- Amplitude is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Amplitude?
- This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Ratings
4.5★★★★★10 reviews- ★★★★★Shikha Mishra· Oct 10, 2024
Amplitude is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 9, 2024
We evaluated Amplitude against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: Amplitude is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Jul 7, 2024
Amplitude reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Jun 6, 2024
I recommend Amplitude for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: Amplitude surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Apr 4, 2024
Amplitude has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Rahul Santra· Mar 3, 2024
According to our notes, Amplitude benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Pratham Ware· Feb 2, 2024
We wired Amplitude into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yash Thakker· Jan 1, 2024
Amplitude is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.