Amplitude Alternative MCP. Analyze user behavior and manage cohorts from chat.
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Amplitude Alternative MCP Server lets you analyze product metrics and manage user cohorts directly from your AI agent. You can send high-volume event data, fetch user profiles, and run segment queries without leaving your chat window.
It covers everything from event ingestion to compliance management, giving you a complete view of user behavior.
What your AI agents can do
Create annotation
Adds important dates to charts for better visual context.
Create category
Establishes a new event category for better data organization (Taxonomy).
Create release
Creates a release record to track how new features impact user behavior.
Sends single or high-volume arrays of event objects directly to Amplitude using the HTTP V2 API.
Retrieves real-time user data, properties, and current cohort memberships for a specific user ID.
Runs and retrieves segmentation metrics, which are the specific calculated values displayed in Amplitude charts.
Generates and retrieves raw event data in JSON format for deep, offline analysis.
Updates user properties or maps one user ID to another, maintaining a consistent identity across your system.
Creates or lists event categories, properties, and event types to maintain a clean and organized data taxonomy.
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Amplitude Alternative MCP Server: 21 Tools for Analytics
Use these 21 tools to manage user cohorts, send event data, query profiles, and export raw data directly through your AI agent.
019e5cfacreate annotation
Adds important dates to charts for better visual context.
019e5cfacreate category
Establishes a new event category for better data organization (Taxonomy).
019e5cfacreate release
Creates a release record to track how new features impact user behavior.
019e5cfadelete users
Submits requests to delete user data to comply with regulations like GDPR or CCPA.
019e5cfaexport data
Pulls raw event data from the platform and formats it as a JSON file.
019e5cfaget audit logs
Retrieves administrative activity logs to track who changed what in the system.
019e5cfaget experiment variant
Checks which variant a user was assigned to for an A/B test.
019e5cfaget segmentation
Calculates and returns specific metrics that appear in Amplitude charts.
019e5cfaget user profile
Fetches a user's complete, real-time data and associated properties.
019e5cfagroup identify
Sets or updates properties for specific groups of users.
019e5cfaidentify user
Updates a user's properties without logging a new event.
019e5cfalist categories
Lists all existing event categories defined in the system (Taxonomy).
019e5cfalist cohorts
Retrieves a list of all behavioral user cohorts defined in your project.
019e5cfalist event properties
Gets a list of all event properties available for taxonomy management.
019e5cfalist event types
Retrieves a list of all event types used in the product.
019e5cfalist user properties
Gets a list of all properties used to define user attributes (Taxonomy).
019e5cfamap user
Links one user ID to another, ensuring a consistent global user identity.
019e5cfasend attribution
Sends attribution data gathered from external partners into Amplitude.
019e5cfasend batch events
Transmits a large volume of event data to Amplitude in a single batch operation.
019e5cfasend events
Sends an array of event objects, directing data directly to Amplitude.
019e5cfaupload cohort
Creates a new behavioral cohort from a static list of user IDs.
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 Alternative, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ 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
What you can do with this MCP connector
You're gonna analyze your product metrics and manage user groups right from your AI agent. This server lets you send event data, pull user profiles, and run segment queries without leaving your chat window. You're covering everything from getting event data in to keeping your data compliant.
Send user events: You can send single events or massive batches of event objects directly to Amplitude using send_events and send_batch_events. You also send attribution data gathered from external partners using send_attribution.
Fetch user profiles: You retrieve a user's complete, real-time data, including properties and current cohort memberships, with get_user_profile. You can also check which variant a user was assigned to for an A/B test using get_experiment_variant. To manage user identity, you update a user's properties without logging a new event using identify_user, or you can update properties for specific groups of users with group_identify.
You can link one user ID to another to make sure you've got a consistent global identity with map_user.
Query segment metrics: You run and pull specific segmentation metrics that show up in Amplitude charts using get_segmentation. You pull raw event data from the platform and format it as a JSON file for deep, offline analysis using export_data. You can also add important dates to charts for better visual context by running create_annotation.
Manage user identity and groups: You can create a new behavioral cohort from a static list of user IDs using upload_cohort. You can also retrieve a list of all behavioral user cohorts defined in your project with list_cohorts.
Define data structure (Taxonomy): You keep your data clean and organized by creating or listing event categories with create_category and list_categories, or by getting a list of all event properties available for taxonomy management with list_event_properties. You can also get a list of all event types used in the product with list_event_types and a list of all properties used to define user attributes with list_user_properties.
Governance and Compliance: You maintain data integrity and comply with regulations by submitting requests to delete user data with delete_users. You can track who changed what in the system by retrieving administrative activity logs with get_audit_logs. You can also create a release record to track how new features impact user behavior using create_release.
How Amplitude Alternative MCP Works
- 1 Subscribe to the server and input your Amplitude API Key and Secret Key.
- 2 Use your AI client to issue a command, like 'What is the engagement rate for the 'Beta Testers' cohort?'
- 3 The server executes the necessary tools (e.g.,
get_segmentation) and returns the analyzed metric to your chat.
The bottom line is that you can manage complex product analytics and data governance entirely within your chat window.
Who Is Amplitude Alternative MCP For?
Product Managers who need to check feature adoption rates without leaving their chat. Data Analysts who need to export raw data or verify event taxonomy on the fly. Growth Engineers who need to identify specific users, manage cohorts, and check experiment variants directly from their development environment.
Instantly retrieve event counts, check user properties, and monitor feature adoption by querying the server's metrics.
Export raw data for specific time ranges or verify event taxonomy using tools like list_event_properties.
Identify target users, manage behavioral cohorts, and check experiment variants from their development environment.
What Changes When You Connect
- Stop switching tabs to check metrics. Use
get_segmentationto query segment metrics and event counts directly in the chat. You get the answer without opening the analytics dashboard. - Maintain user identity across systems. Use
identify_userormap_userto update a user's properties or link IDs, ensuring your analysis always follows the right person. - Handle massive data volumes easily. Use
send_batch_eventsto dump high-volume event logs, avoiding the need to write complex streaming pipelines just to ingest data. - Stay compliant and clean. Use
delete_usersto submit data deletion requests, or useget_audit_logsto prove who accessed what, keeping your data clean and auditable. - Build complex user groups quickly. Use
list_cohortsto see existing behavioral groups, thenupload_cohortto create a new one from a list of IDs. - Keep your taxonomy clean. Use
create_categoryorlist_event_typesto define and manage event properties, preventing data silos and messy reporting.
Real-World Use Cases
Debugging a missing metric
A data analyst notices the 'checkout_complete' metric is zero. They ask their agent: 'Run get_segmentation for checkout_complete in the last 7 days.' The agent runs the query and provides the exact segment count, telling the analyst whether the issue is in the data or the metric definition.
Analyzing a feature rollout
A product manager wants to know the impact of a new feature. They run create_release('New Feature X') and then use get_user_profile to check the properties of users who interacted with that release, linking feature adoption to user behavior instantly.
Auditing a data leak
A compliance officer needs to prove data deletion. They ask the agent to run delete_users(user_id) and get_audit_logs to confirm the request was processed and logged, providing an immediate paper trail for compliance teams.
Cross-referencing user IDs
A growth engineer has two different ID systems for the same user. They use map_user(old_id, new_id) to link the IDs, then run get_user_profile to ensure all subsequent analytics use the correct, unified identity.
The Tradeoffs
Ignoring data flow direction
Trying to run complex segment queries (get_segmentation) on data that hasn't been properly ingested. The query fails because the necessary events are missing from the system.
→
First, use send_events or send_batch_events to reliably pipe the raw data into Amplitude. Only then should you run get_segmentation to calculate metrics on the newly available data.
Assuming user identity is stable
Running get_user_profile based on a raw session ID, only to find the profile is empty or incomplete because the user ID wasn't mapped or identified.
→
Always stabilize the user's identity first. Use identify_user to set core properties, and if necessary, run map_user to link different ID sources before any profile lookup.
Over-relying on manual exports
Manually exporting data via the web UI and then trying to merge it with live user data. This process is slow, error-prone, and often lacks the necessary context.
→
Use export_data to pull raw event JSON data for deep analysis, and then use get_segmentation to get the summary metrics. Keep the data analysis cycle inside the chat to avoid manual data handling.
When It Fits, When It Doesn't
Use this server if your primary need is auditable, segmented user journey mapping. You need to answer questions like, 'How did the user get from signup to paying customer?' or 'What is the adoption rate of Feature Y within the 'Power Users' cohort?' If your workflow requires managing user identity, tracking feature releases, or running compliance checks (like delete_users), this is the tool. Don't use it if you simply need to store unstructured text documents or run simple message threads—you'll need a dedicated document or messaging server instead. If you are only interested in the raw database structure without user context, a pure database access tool might suffice, but this server gives you the high-level, actionable analytics context.
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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Zero-Trust Proxy
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Policy on every call
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EU data residency
Token Compression
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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 21 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Manually tracking user funnels is a nightmare.
Today, if you want to know how many users saw a specific feature, you have to jump through a dozen dashboards. You click the 'Users' tab, filter by dates, then maybe switch to the 'Events' tab to check the specific event count. Then you copy that number, paste it into a spreadsheet, and start cross-referencing IDs. It's slow, and you're always afraid you missed a filter or clicked the wrong tab.
With this MCP server, you just ask your agent: 'How many users saw Feature X in the last week?' The agent runs the necessary `get_segmentation` query and spits out the single number. You stay in the chat, and you get the answer.
Amplitude Alternative MCP Server: Get the full user picture.
You no longer need to write complex, multi-stage ETL scripts just to get basic user info. You can tell the agent to fetch a user's profile using `get_user_profile` and then immediately ask what cohorts that user belongs to. It’s a two-step process that used to require a dedicated data pipeline.
Now, the data flow is conversational. You ask the question, the agent runs the tools, and you get the result. It’s that simple.
Common Questions About Amplitude Alternative MCP
How do I use the `send_batch_events` tool? +
You use send_batch_events when you have thousands of events to upload at once. It's designed for bulk data transfer, making it much more efficient than sending them one by one.
Can `get_user_profile` fetch data for multiple users? +
The get_user_profile tool fetches data for a specific user ID. If you need multiple users, you'll need to list the IDs first and run the tool for each one, or use a loop in your agent's code.
What is the difference between `identify_user` and `get_user_profile`? +
identify_user updates the user's attributes without creating a new event. get_user_profile reads the current state of those attributes and returns them.
How do I manage data governance with the Amplitude Alternative MCP Server? +
You use tools like delete_users for privacy compliance (GDPR/CCPA). For internal governance, you use get_audit_logs to track who accessed what data.
Which tool should I use to start tracking a new feature? +
First, use create_category to define the event taxonomy. Then, use create_release to track the feature's impact. Finally, use send_events to pipe the new data into Amplitude.
How can I use `export_data` to get raw data for a specific time range? +
You specify the start and end timestamps when calling export_data. This pulls all raw event data for that window. For example, you can request data from 2023100100 to 2023100123.
What happens if I use `send_events` with invalid data formats? +
The server validates the incoming payload structure first. It returns a clear error message detailing which event objects failed validation and why, so you can fix your inputs.
Do I need to call `identify_user` before using `get_user_profile`? +
No, you don't have to. get_user_profile fetches the current user data directly. You only use identify_user if you need to update a user's property without generating a new event record.
Can I export raw event data for a specific time range? +
Yes. Use the export_data tool by providing the start and end times in YYYYMMDDTHH format to retrieve raw event data in JSON format.
How do I check which cohorts a specific user belongs to? +
You can use the get_user_profile tool with the specific Amplitude User ID. It will return the user's profile, recommendations, and all active cohort memberships.
Is it possible to update user properties without sending a new event? +
Yes, the identify_user tool allows you to set, unset, or append user properties via the Identify API without triggering a separate event.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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