Amplitude

The Amplitude MCP server connects your Amplitude product analytics instance directly to any AI agent through a single hosted MCP endpoint. Instead of manually pulling reports or exporting CSVs, Claude, GPT, Gemini, or any other model-agnostic assistant can query user behavior, funnels, cohorts, and feature adoption data on demand — turning product analytics into a conversational, agent-accessible resource. This is especially valuable for product managers, growth teams, and data analysts who want AI copilots to answer questions like 'which onboarding step has the highest drop-off this week' or 'how did feature X adoption trend after the last release' without switching tools.

As part of BusinessMCP's unified MCP + business-intelligence platform, this Amplitude server doesn't operate in isolation. It's hosted alongside your other data sources — Postgres, BigQuery, Snowflake, Google Analytics, and more — behind one authenticated /api/mcp endpoint secured with a Bearer mcph_* key. That means an AI agent can correlate Amplitude funnel data with a database query or a marketing analytics report in the same conversation, without you managing separate credentials, SDKs, or integration code for each tool. Connect Amplitude once through BusinessMCP's dashboard, and it becomes part of a single governed surface that every downstream agent or internal app can consume consistently.

Typical use cases center on product analytics automation: monitoring feature adoption curves, investigating funnel drop-off points, segmenting users by behavioral cohort, and surfacing retention trends without writing custom Amplitude API calls. Growth and product teams use this MCP server to let AI agents proactively flag anomalies in activation rates or generate plain-language summaries of a release's impact on engagement metrics. Because the server is cookieless and GDPR-friendly by design, it fits naturally into privacy-conscious analytics stacks where compliance matters as much as insight speed.

For engineering and data teams, the appeal is architectural simplicity. Rather than building bespoke Amplitude integrations for every AI tool your company adopts, you configure access once inside BusinessMCP's dashboard and expose it through the same endpoint used for every other connected service. The BI dashboard layer adds visibility into how agents are actually using Amplitude data — which queries run most often, which teams rely on it, and how it fits into broader cross-tool workflows — giving you oversight that a raw API integration never would. This is Amplitude analytics made agent-ready: queryable by any model, governed centrally, and unified with the rest of your company's tools and revenue data in one hosted MCP server.

Whether you're running a product-led growth motion, tracking feature rollouts, or feeding funnel data into an AI-driven reporting pipeline, this MCP server turns Amplitude into a live, queryable resource for agents rather than a dashboard you have to check manually. It's a natural pairing with other analytics and database MCP servers already in your stack, letting you build richer, cross-source AI workflows without extra integration overhead.