Amplitude
by Amplitude
MCP server for Amplitude — enables Claude to interact with Amplitude data and workflows.
What it does
Amplitude MCP server for Claude integration. Enables AI assistants to interact with Amplitude data and workflows.
About
Amplitude is an official MCP server included in Anthropic's knowledge-work-plugins repository. It enables Claude to interact with Amplitude through the Model Context Protocol. Protocol: HTTP. Endpoint: https://mcp.amplitude.com/mcp. Used in plugins: data, marketing, product-management.
How to install
Add the following to your .mcp.json file to connect Claude to Amplitude. No local installation required — this is a remote HTTP server.
License
Proprietary
Amplitude is a proprietary service. Usage is subject to Amplitude's terms of service.
Readme
README content is unavailable from source data for this server.
Open GitHub repository →Frequently Asked Questions
- 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 68 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.
Use Cases
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Build agents that actually work
Hands-on bootcamps on MCP, tool use, and multi-agent architectures — taught by practitioners.
Discussion
Comments — not star reviews- No comments yet — start the thread.
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Ratings
4.6★★★★★68 reviews- ★★★★★Nia Patel· Dec 28, 2024
Amplitude reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Layla Gill· Dec 24, 2024
Amplitude is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Ren Bansal· Dec 20, 2024
Amplitude is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Ren Bhatia· Dec 16, 2024
We wired Amplitude into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yuki Farah· Dec 12, 2024
Strong directory entry: Amplitude surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Layla Chawla· Dec 8, 2024
We evaluated Amplitude against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Pratham Ware· Dec 4, 2024
According to our notes, Amplitude benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Maya Thomas· Dec 4, 2024
According to our notes, Amplitude benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Yash Thakker· Nov 23, 2024
We wired Amplitude into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yuki Nasser· Nov 23, 2024
We wired Amplitude into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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