Official remote MCP server for querying and creating Amplitude analytics, dashboards, experiments, cohorts, session replay insights, and product data from Claude and other MCP clients.
The authenticated Amplitude MCP server can expose tools that create and edit analytics content, not just read existing dashboards., Use the existing Amplitude permission model and keep users scoped to the projects and organizations they are allowed to inspect., Require human confirmation before Claude creates dashboards, edits notebooks, changes experiments, creates cohorts, updates metrics, or touches feature-flag workflows., Use the EU MCP endpoint only when the Amplitude data resides in the EU region; otherwise use the standard US endpoint., Consider progressive discovery to reduce tool-list size and force the assistant to describe a tool schema before calling higher-impact tools., Organization administrators can restrict or disable MCP access in Amplitude content access settings; use that control if AI access is not approved.
Privacy notes
Amplitude MCP can expose product analytics, event data, user cohorts, experiment results, dashboard definitions, session replay context, feedback summaries, AI agent analytics, and account health signals to the connected AI client., AI providers may process the Amplitude data returned through MCP; review internal AI, privacy, GDPR, CCPA, and customer-data policies before connecting production projects., Assistant transcripts, MCP client logs, screenshots, support tickets, and exported chats can retain user identifiers, cohort definitions, behavioral data, experiment details, and roadmap-sensitive product insights., OAuth ties access to the current Amplitude user, but it does not make downstream model transcripts private by itself.
Author
Amplitude
Submitted by
JSONbored
Claim status
unclaimed
Last verified
2026-06-05
Decision playbook
Review trust signals before you adopt
Signals are present but mixed. Use the checklist below to confirm the source and operational safety for your environment.
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Open the canonical repository and verify ownership.
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Marked as source-backed.
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No reviewed flag detected in metadata.
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Safety and privacy checks
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Validate risk disclosures before installation or API wiring.
Safety notes presentRequired
Review the listed safety guidance before running commands.
Done
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Review data handling notes before connecting accounts or secrets.
Done
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Trust level does not block evaluation.
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6 safety and 4 privacy notes across 7 risk areas. Review closely: credentials & tokens, permissions & scopes, network access, third-party handling.
7 areas
SafetyTelemetryThe authenticated Amplitude MCP server can expose tools that create and edit analytics content, not just read existing dashboards.
SafetyPermissions & scopesUse the existing Amplitude permission model and keep users scoped to the projects and organizations they are allowed to inspect.
SafetyTelemetryRequire human confirmation before Claude creates dashboards, edits notebooks, changes experiments, creates cohorts, updates metrics, or touches feature-flag workflows.
SafetyNetwork accessUse the EU MCP endpoint only when the Amplitude data resides in the EU region; otherwise use the standard US endpoint.
SafetyGeneralConsider progressive discovery to reduce tool-list size and force the assistant to describe a tool schema before calling higher-impact tools.
SafetyPermissions & scopesOrganization administrators can restrict or disable MCP access in Amplitude content access settings; use that control if AI access is not approved.
PrivacyCredentials & tokensAmplitude MCP can expose product analytics, event data, user cohorts, experiment results, dashboard definitions, session replay context, feedback summaries, AI agent analytics, and account health signals to the connected AI client.
PrivacyThird-party handlingAI providers may process the Amplitude data returned through MCP; review internal AI, privacy, GDPR, CCPA, and customer-data policies before connecting production projects.
PrivacyExecution & processesAssistant transcripts, MCP client logs, screenshots, support tickets, and exported chats can retain user identifiers, cohort definitions, behavioral data, experiment details, and roadmap-sensitive product insights.
PrivacyCredentials & tokensOAuth ties access to the current Amplitude user, but it does not make downstream model transcripts private by itself.
Safety notes
The authenticated Amplitude MCP server can expose tools that create and edit analytics content, not just read existing dashboards.
Use the existing Amplitude permission model and keep users scoped to the projects and organizations they are allowed to inspect.
Require human confirmation before Claude creates dashboards, edits notebooks, changes experiments, creates cohorts, updates metrics, or touches feature-flag workflows.
Use the EU MCP endpoint only when the Amplitude data resides in the EU region; otherwise use the standard US endpoint.
Consider progressive discovery to reduce tool-list size and force the assistant to describe a tool schema before calling higher-impact tools.
Organization administrators can restrict or disable MCP access in Amplitude content access settings; use that control if AI access is not approved.
Privacy notes
Amplitude MCP can expose product analytics, event data, user cohorts, experiment results, dashboard definitions, session replay context, feedback summaries, AI agent analytics, and account health signals to the connected AI client.
AI providers may process the Amplitude data returned through MCP; review internal AI, privacy, GDPR, CCPA, and customer-data policies before connecting production projects.
Assistant transcripts, MCP client logs, screenshots, support tickets, and exported chats can retain user identifiers, cohort definitions, behavioral data, experiment details, and roadmap-sensitive product insights.
OAuth ties access to the current Amplitude user, but it does not make downstream model transcripts private by itself.
Prerequisites
Existing Amplitude customer account with access to the projects you want Claude to analyze.
MCP-capable client that supports remote Streamable HTTP servers, such as Claude Code, Cursor, ChatGPT, Codex CLI, Lovable, Kiro, or another compatible client.
OAuth authorization through Amplitude for the user and organization being queried.
Organization-level MCP access left enabled by an Amplitude administrator.
Clear policy for whether AI tools may create or edit Amplitude charts, dashboards, notebooks, experiments, cohorts, metrics, feature flags, or annotations.
Amplitude MCP Server is Amplitude's official remote Model Context Protocol
server for bringing product analytics into AI clients. It lets Claude Code and
other MCP-capable tools query Amplitude content, inspect product behavior, work
with experiments, and create or edit Amplitude resources through natural
language.
The server is useful for teams that already rely on Amplitude dashboards,
experiments, cohorts, session replay, and feedback workflows. Instead of asking
Claude to reason from pasted screenshots or stale exports, users can connect
the assistant to live Amplitude context through OAuth and the existing
Amplitude permission model.
Amplitude documents two product-data endpoints:
US/default: https://mcp.amplitude.com/mcp
EU residency: https://mcp.eu.amplitude.com/mcp
Use the EU endpoint only when the relevant Amplitude data is in the EU region.
Features
Remote Streamable HTTP MCP server with OAuth authentication.
Product analytics questions over Amplitude projects the user can already
access.
Chart, dashboard, and notebook search, retrieval, analysis, creation, and
editing workflows.
Experiment and feature-flag workflows for setup, monitoring, stale-test
checks, and result interpretation.
Session Replay and debugging workflows for finding replay examples and
summarizing user friction.
Feedback and opportunity analysis across product signals.
AI agent analytics workflows for monitoring topics, quality, cost, errors,
and low-quality sessions.
Cohort, metric, account health, and journey-comparison workflows.
Progressive tool discovery with ?discovery=progressive to keep the initial
tool list small and discover schemas on demand.
Organization admin controls for allowing or blocking MCP access.
Use Cases
Ask Claude why a weekly active user metric dropped and have it search
related charts, experiments, dashboards, and session replays.
Build or update an executive product dashboard from a concise set of goals.
Investigate signup, activation, checkout, onboarding, or retention funnels
without manually copying Amplitude screenshots into a prompt.
Monitor running experiments and flag stale tests, missing metrics, or risky
rollout decisions.
Create a cohort of high-value users, churn-risk users, or users who completed
a specific behavior in the last 30 days.
Summarize dashboard or notebook context before a product, growth, support, or
executive meeting.
Review AI agent quality, cost, performance, topics, and error trends when
those signals are tracked in Amplitude.
Installation
Claude Code
Add the standard Amplitude MCP endpoint as a remote HTTP server:
claude mcp add -t http -s user amplitude https://mcp.amplitude.com/mcp
Open the MCP connection in Claude Code and complete the Amplitude OAuth flow.
Make sure you authenticate with the right Amplitude organization and project.
For EU-resident Amplitude data, use the EU endpoint instead:
claude mcp add -t http -s user amplitude-eu https://mcp.eu.amplitude.com/mcp
Progressive discovery
For large organizations or token-sensitive workflows, use progressive
discovery:
claude mcp add -t http -s user amplitude https://mcp.amplitude.com/mcp?discovery=progressive
Then ask Claude to call get_context, list_tool_categories,
get_category_tools, and describe_tool before using a specific analytics,
dashboard, experiment, cohort, or replay tool.
Security Notes
Amplitude MCP uses the current user's Amplitude permissions, but the data it
returns still enters the connected AI client and model session. Treat it as a
production data integration. Keep access limited to approved users, use admin
controls when AI access is not allowed, and require confirmation before any
write-capable tool creates or changes Amplitude content.
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How it compares
Amplitude MCP Server for Claude side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.
1 trust signal differ across this comparison (Submitter).
Official remote MCP server for querying and creating Amplitude analytics, dashboards, experiments, cohorts, session replay insights, and product data from Claude and other MCP clients.
Query Mixpanel analytics data from Claude — run insights, funnels, flows, retention analysis, manage dashboards, explore events and properties, run experiments, and analyze session replays — with the official Mixpanel remote MCP server.
Query observability data, manage dashboards, and monitor your systems from Claude — run APL queries against datasets, list metrics, inspect monitors, and retrieve saved queries — with the official Axiom remote MCP server.
Manage A/B tests and feature flags in GrowthBook from Claude — list and create experiments, toggle rollouts, review test results, and interact with your GrowthBook workspace — with the official GrowthBook MCP server.
✓The authenticated Amplitude MCP server can expose tools that create and edit analytics content, not just read existing dashboards.
Use the existing Amplitude permission model and keep users scoped to the projects and organizations they are allowed to inspect.
Require human confirmation before Claude creates dashboards, edits notebooks, changes experiments, creates cohorts, updates metrics, or touches feature-flag workflows.
Use the EU MCP endpoint only when the Amplitude data resides in the EU region; otherwise use the standard US endpoint.
Consider progressive discovery to reduce tool-list size and force the assistant to describe a tool schema before calling higher-impact tools.
Organization administrators can restrict or disable MCP access in Amplitude content access settings; use that control if AI access is not approved.
✓The server is hosted by Mixpanel and authenticated via OAuth — your existing Mixpanel project permissions are automatically applied.
The MCP server grants read and write access to your Mixpanel project; it can create and modify dashboards, reports, and feature flags.
Treat Service Account credentials as secrets; do not commit them to repositories.
✓The MCP server includes dashboard management tools (create, update, delete) — review any write operations before confirming.
APL queries run against live datasets; complex queries over large time windows may be slow or consume significant dataset quota.
✓`create_experiment` and `create_feature` write to your GrowthBook workspace — capabilities are scoped by your API key/PAT permissions.
Creating experiments or feature flags may immediately affect production if they are in a live environment — review before confirming.
Privacy notes
✓Amplitude MCP can expose product analytics, event data, user cohorts, experiment results, dashboard definitions, session replay context, feedback summaries, AI agent analytics, and account health signals to the connected AI client.
AI providers may process the Amplitude data returned through MCP; review internal AI, privacy, GDPR, CCPA, and customer-data policies before connecting production projects.
Assistant transcripts, MCP client logs, screenshots, support tickets, and exported chats can retain user identifiers, cohort definitions, behavioral data, experiment details, and roadmap-sensitive product insights.
OAuth ties access to the current Amplitude user, but it does not make downstream model transcripts private by itself.
✓Queries and analytics results (event data, user properties, funnel metrics) are sent through Mixpanel's hosted MCP infrastructure.
Session replay summaries and user segment data may surface in Claude's context — treat these as sensitive product analytics.
✓Log data, traces, metrics, and monitor configurations from your Axiom datasets and organization are surfaced in Claude's context.
OAuth is the recommended authentication method — no API token is stored in your MCP configuration.
✓Experiment configurations, feature flag definitions, targeting rules, and experiment results from your GrowthBook workspace are surfaced in Claude's context.
Your `GB_API_KEY` is a secret — store it as an environment variable, not in version-controlled config files.
Prerequisites
Existing Amplitude customer account with access to the projects you want Claude to analyze.
MCP-capable client that supports remote Streamable HTTP servers, such as Claude Code, Cursor, ChatGPT, Codex CLI, Lovable, Kiro, or another compatible client.
OAuth authorization through Amplitude for the user and organization being queried.
Organization-level MCP access left enabled by an Amplitude administrator.
A Mixpanel account — authenticate via OAuth when prompted on first tool use.
EU customers should use `https://mcp-eu.mixpanel.com/mcp`; India customers `https://mcp-in.mixpanel.com/mcp`.
Service Account credentials (Beta) are available for headless/CI use.
An MCP client such as Claude Code or Claude Desktop.
An Axiom account — authenticate via OAuth when prompted in Claude Code, or generate an API token in Axiom settings.
An MCP client such as Claude Code or Claude Desktop.
A GrowthBook account (cloud at growthbook.io or self-hosted).
A GrowthBook API key (from API Keys settings or a Personal Access Token with appropriate permissions).
Your GrowthBook account email (used when creating experiments and feature flags).
Node.js with `npx` available.
Install
claude mcp add -t http -s user amplitude https://mcp.amplitude.com/mcp
claude mcp add --transport http mixpanel https://mcp.mixpanel.com/mcp
claude mcp add --transport http axiom https://mcp.axiom.co/mcp