Amplitude MCP. Get real-time answers on user behavior and revenue metrics.
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…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Amplitude connects your AI agent directly to your product analytics data. It lets you analyze user activity, calculate retention curves, and model conversion funnels using natural language queries.
Stop building dashboards. Just ask the questions: who is dropping off? Which users are most valuable? How much revenue did this feature generate last quarter? Get answers in real time from all your behavioral metrics without ever leaving your chat window.
What your AI agents can do
Active users
Gets the count of daily, weekly, or monthly active users for a specified date range.
Event segmentation
Queries event counts and unique user numbers based on specific events within a time frame.
Export events
Exports the raw, granular data stream for every event that happened during a specified period.
Retrieve a detailed timeline of every event a specific user triggered, helping diagnose why they abandoned the product.
Map out conversion paths step-by-step to pinpoint exactly where users stop moving through your core features.
Generate curves that show how well specific features keep users engaged over days, weeks, or months.
Query event counts and unique usage numbers over time to see clear patterns in product adoption.
Instantly pull key metrics, like Monthly Active Users (MAU) or daily revenue totals, into your chat conversation.
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Supported MCP Clients
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Amplitude: 10 Tools for Product Analytics
These tools let you break down complex product data. You can find everything from daily user counts to raw event exports, all managed by the AI.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Amplitude on Vinkius019d754eactive users
Gets the count of daily, weekly, or monthly active users for a specified date range.
019d754eevent segmentation
Queries event counts and unique user numbers based on specific events within a time frame.
019d754eexport events
Exports the raw, granular data stream for every event that happened during a specified period.
019d754eget cohort
Requests an export download of behavioral cohorts based on user activity.
019d754eget funnel
Queries the drop-off rate and conversion percentage between a list of defined events.
019d754eget retention
Calculates how many users return to use features over time, given specific acquisition and return events.
019d754eget user activity
Retrieves the entire sequence of actions for a single user ID, useful for debugging sessions.
019d754elist cohorts
Lists all defined behavioral groups (cohorts) currently tracked in your platform.
019d754erevenue analysis
Pulls the daily financial revenue totals and performance metrics for a given date range.
019d754esearch users
Finds specific users using criteria like their ID, email, or device identifier before checking activity.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Amplitude, then connect any of our 4,800+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,800+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Amplitude. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
The Old Way: Data Spreadsheets and Dashboards
You know the drill. You need to check retention rates for a new feature launch. That means jumping from your analytics dashboard, pulling a segment list into Google Sheets, creating pivot tables, manually cross-referencing dates with revenue reports, and then emailing it all out so someone can finally look at it.
With this MCP, you just ask your agent: 'Show me the retention curve for users who saw Feature X.' You get the full analysis instantly. It’s immediate, conversational insight that cuts out every click and every copy-paste step.
Amplitude MCP Gives You Full Visibility
The biggest win is the ability to correlate events across time. Instead of just seeing a spike in users, you can ask for `get_user_activity` on a specific date range and see what *caused* that spike—was it one specific event or a few different ones working together?
It means your team stops waiting for the data warehouse to finish running overnight reports. You get actionable answers right when you need them, letting you test hypotheses in real time.
What you can do with this MCP connector
Think of it like having a data scientist available 24/7, sitting right next to you. This MCP lets you query deep product behavior data using only plain English. You don't need SQL or Tableau; you just ask your agent about user journeys and get the raw numbers back immediately. For instance, you can track how many users start a process but fail at the payment step, or see exactly which groups of people are most likely to keep using the product month over month.
When you connect this through Vinkius, your AI client handles all the heavy lifting, pulling data points—from daily active counts to specific user event streams—and presenting them in a conversational way. It’s real-time insight for product teams and growth managers who need quick answers, not complex reports.
019d754e-1e98-71c3-8240-5180b2b42a94 
How Amplitude MCP Works
- 1 Subscribe to this MCP and provide your Amplitude API Key and Secret Key.
- 2 Connect it to your preferred AI client (like Cursor or Claude).
- 3 Ask a product question naturally. Your agent queries the data, then gives you the direct answer.
The bottom line is: you get instant, conversational access to complex product analytics without building a single dashboard.
Who Is Amplitude MCP For?
Product Managers who need proof points fast. Data Analysts tired of writing repetitive queries. Growth teams needing daily revenue numbers right now.
Needs to test a hypothesis, like 'Did the new onboarding flow fix our sign-up drop-off?' and needs the answer in minutes.
Wants to cross-reference cohort sizes with raw event exports to validate findings without manual data joining.
Must monitor Daily Active Users (DAU) and daily revenue trends every morning to spot campaign performance immediately.
What Changes When You Connect
- Stop guessing why users leave. You can request a
get_funnelanalysis to pinpoint the exact step where drop-off is highest, turning assumptions into data points. - Debug single accounts instantly by running
get_user_activity. Instead of digging through logs, your agent pulls up an individual user's complete event stream for review. - Measure long-term product health with
get_retention. This tool generates the day-over-day curves showing if new features actually keep people coming back. - Track business impact immediately. Use
revenue_analysisto pull daily revenue data alongside your user counts, giving a full picture of value per cohort. - Cross-reference findings easily. You can run
list_cohortsand then use the resulting groups to analyze specific event segmentation, connecting behavior to outcomes.
Real-World Use Cases
A user complains about a payment failure.
The customer success manager asks their agent to search_users by email. They pull up the detailed activity stream using get_user_activity, seeing the exact error payload that caused the failed transaction, allowing them to fix the bug immediately.
Need to prove the value of a new feature.
The Product Manager asks for the conversion path from 'Feature X View' to 'Checkout Complete'. The agent runs get_funnel, showing that while 50% see the feature, only 15% proceed, proving where marketing needs to adjust its messaging.
Analyzing seasonal revenue spikes.
The Growth Manager asks for DAU and daily revenue trends since the start of the year. The agent executes active_users combined with revenue_analysis, confirming that campaign launches consistently boost both user count and cash flow.
Understanding long-term product stickiness.
The team needs to know if new users are sticking around. They ask for a cohort analysis, running get_cohort to see which groups of users acquired last month are still active today.
The Tradeoffs
Treating the MCP like a simple dashboard.
Trying to ask 'What was our revenue?' and getting only a single number. This misses the context of who generated that revenue or when they were active.
→
Ask for linked data. Query revenue_analysis first, then follow up by asking the agent to analyze which specific behavioral cohort (list_cohorts) contributed most heavily to that period's total.
Overlooking the raw event data.
Relying only on high-level metrics like MAU. This prevents you from diagnosing why a user left—did they click 'Cancel' or did an API fail?
→
Always run export_events for any suspicious period. Getting the raw data lets your agent pinpoint the exact event, property, or timestamp that needs fixing.
Asking vague questions.
Just asking 'What's wrong with our users?' This yields a massive wall of text and requires you to guess where to start looking for answers.
→
Be specific. Frame the query around a known failure point, like: 'Show me the user activity stream (get_user_activity) for anyone who started the funnel but failed at step three.'
When It Fits, When It Doesn't
Use this MCP if your goal is deep behavioral diagnosis. You need to know why users are doing what they do, not just what they did. If you're trying to figure out where people drop off in a complex process, or proving which user group makes the most money, this is essential. Don't use it if your only question is 'What was my DAU yesterday?'—a simple reporting tool handles that fine. You need its power when you combine tools like get_funnel with get_retention, linking usage patterns to actual long-term value. If you only need basic summary reports, stick to a standard BI platform; if you need the AI to interpret and cross-reference those metrics for you, this is it.
Common Questions About Amplitude MCP
How do I use Amplitude MCP to calculate retention rates? +
You run the get_retention tool by specifying your start event (acquisition), return event, and date range. This gives you a curve showing how long users stick around after adopting that feature.
Can I check raw user activity using Amplitude MCP? +
Yes. Use get_user_activity by providing the user's ID. It pulls up the entire event stream, letting you see every click and action they took in detail.
How does Amplitude MCP help with funnels? +
You use get_funnel, passing comma-separated event names. The agent calculates the conversion percentage at each step, showing exactly where users are dropping off.
What is the best way to check active users? (Amplitude MCP) +
Use the active_users tool by providing a date range. This quickly gives you reliable daily, weekly, or monthly counts for your key metrics.
How do I authenticate Amplitude MCP with my account keys? +
You need to provide your specific Project API Key and Secret Key from Amplitude. Input these credentials into Vinkius; this establishes the connection needed for all subsequent queries.
What is the best way to pull raw event data using the export_events tool? +
The export_events tool lets you grab massive amounts of raw data over a date range. Remember that API rate limits apply, so it's best practice to narrow your initial time window.
How does Amplitude MCP help me manage or analyze behavioral cohorts? +
Use the list_cohorts tool to view all existing user groups. This lets you understand how users are clustered by behavior, which is key before deep analysis.
What happens if my Amplitude MCP query fails due to complexity or volume? +
If a query fails, it usually means the scope was too large for one request. Try simplifying your date range or breaking down the query into smaller segments first.
Multi-server workflows that include Amplitude MCP
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.