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Amplitude MCP Server for Claude

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.

by Amplitude · submitted by JSONbored·added 2026-06-05·
Review first review before installing

Open the source and read safety notes before installing.

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Source URLs
https://amplitude.com/docs/amplitude-ai/amplitude-mcp, https://github.com/amplitude/mcp-server-guide, https://amplitude.com/mcp-server
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.
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.

Compare context
Selected

0

Current score

63

Baseline

Delta

No baseline selected

No major trust-signal divergence detected in the current selection.

Source and provenance checks

Needs review

Confirm ownership and provenance before trusting install instructions.

  • Source link availableRequired

    Open the canonical repository and verify ownership.

    Done
  • Source provenance statusRequired

    Marked as source-backed.

    Done
  • Metadata reviewed

    No reviewed flag detected in metadata.

    Pending

Safety and privacy checks

Complete

Validate risk disclosures before installation or API wiring.

  • Safety notes presentRequired

    Review the listed safety guidance before running commands.

    Done
  • Privacy notes presentRequired

    Review data handling notes before connecting accounts or secrets.

    Done
  • Trust level risk gateRequired

    Trust level does not block evaluation.

    Done

Package and install checks

Needs review

Check package metadata and artifact integrity signals.

  • Install payload available

    Install or copy payload is available for review.

    Done
  • Package verification flag

    No package verification flag provided.

    Pending
  • Checksum metadata

    No checksum provided for downloaded artifact.

    Pending

Compare-driven decision checks

Needs review

Use compare context to validate trade-offs before adoption.

  • Compare tray has multiple entries

    Add at least one more entry to compare trust differences.

    Pending
  • Baseline comparison available

    No baseline peer selected yet.

    Pending
  • Diverging trust signals identified

    No major trust-signal divergence found.

    Pending

Setup at a glance

CLI install

Copy-ready — paste the snippet to get started.

10 minutes

Adoption plan

Balanced adoption plan

Current risk score 24/100. Use staged verification before broader rollout.

Risk 24

Pre-adoption checks

Validate source and review signals before any execution.

  • Confirm source provenanceRequired

    Source URL/provenance metadata is present.

    Done
  • Confirm metadata review state

    No review metadata found; increase manual validation.

    Pending
  • Verify install payload

    Install/config payload exists and can be inspected.

    Done

Security checks

Confirm safety, privacy, and package integrity signals.

  • Review safety notesRequired

    Safety notes are present.

    Done
  • Review privacy notesRequired

    Privacy notes are present.

    Done
  • Verify package integrity metadata

    No package verification/checksum metadata.

    Pending

Rollout

Adopt in controlled steps based on the selected plan.

  • Run in isolated sandbox firstRequired

    Use a constrained sandbox and observe behavior across multiple tasks.

    Pending
  • Roll out graduallyRequired

    Roll out to a small cohort before wider usage.

    Pending
  • Set monitoring and fallback

    Define rollback path and monitor errors after adoption.

    Pending

Evidence readiness

Evidence readiness matrix · balanced

Missing required evidence: Metadata review. Risk score 31.

Risk 31

Source provenance

Present

Source repository/provenance is listed.

Required in this preset

Metadata review

Missing

Review metadata is missing.

Required in this preset

Safety notes

Present

Safety notes are present.

Required in this preset

Privacy notes

Present

Privacy notes are present.

Optional in this preset

Package integrity

Missing

Package integrity metadata is missing.

Optional in this preset

Install payload

Present

Install payload is available.

Required in this preset

Required gaps: Metadata review

Decision timeline

Decision timeline · balanced

Blocking gaps: Check metadata review status. Risk 28.

Risk 28

triage

Confirm source provenanceRequired

Source/provenance metadata is available.

Done

triage

Check metadata review statusRequired

Review metadata is missing.

Pending

verify

Review safety notesRequired

Safety notes are available.

Done

verify

Review privacy notes

Privacy notes are available.

Done

verify

Validate package integrity metadata

Package integrity metadata is missing.

Pending

rollout

Verify install payload and commandsRequired

Install payload is available.

Done

Blockers: Check metadata review status

Prerequisite readiness

Prerequisite readiness

5 prerequisites to line up before setup. Have accounts and credentials ready first.

0/5 ready
Account & credentials2Network & hosting1General210 minutes

Safety & privacy surface

Safety & privacy surface

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.

Schema details

Install type
cli
Troubleshooting
No
Source repository stats
Scope
Source repo
Collection metadata
Estimated setup
10 minutes
Difficulty
intermediate
Tool listing metadata
Full copyable content
{
  "mcpServers": {
    "amplitude": {
      "url": "https://mcp.amplitude.com/mcp"
    }
  }
}

About this resource

Content

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.

Related Resources

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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).

Field

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.

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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.

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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.

Open dossier
Next steps
Trust
Review statusNot reviewedNot reviewedNot reviewedNot reviewed
Package trustPackage not verifiedPackage not verifiedPackage not verifiedPackage not verified
Source provenanceSource-backedSource-backedSource-backedSource-backed
SubmitterDiffersJSONbored
Install riskReview firstReview firstReview firstReview first
Notes Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓
Brand
Categorymcpmcpmcpmcp
SourceSource-backedSource-backedSource-backedSource-backed
AuthorAmplitudeMixpanelAxiom, Inc.GrowthBook
Added2026-06-052026-06-182026-06-182026-06-18
Platforms
Harness
Source repo
Safety notesThe 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 notesAmplitude 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
claude mcp add growthbook -e GB_API_KEY=your-api-key -e GB_EMAIL=you@example.com -- npx @growthbook/growthbook-mcp
Config
{
  "mcpServers": {
    "amplitude": {
      "url": "https://mcp.amplitude.com/mcp"
    }
  }
}
{
  "mcpServers": {
    "mixpanel": {
      "command": "npx",
      "args": ["mcp-remote", "https://mcp.mixpanel.com/mcp"]
    }
  }
}
{
  "mcpServers": {
    "axiom": {
      "type": "http",
      "url": "https://mcp.axiom.co/mcp"
    }
  }
}
{
  "mcpServers": {
    "growthbook": {
      "command": "npx",
      "args": ["@growthbook/growthbook-mcp"],
      "env": {
        "GB_API_KEY": "your-api-key",
        "GB_EMAIL": "you@example.com",
        "GB_API_URL": "https://api.growthbook.io",
        "GB_APP_ORIGIN": "https://app.growthbook.io"
      }
    }
  }
}
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