Mixpanel MCP Server
An MCP server that provides access to the Mixpanel REST API, enabling AI agents to query events, funnels, retention data, and user profiles. It allows users to perform complex analytics tasks and export raw event data through natural language prompts.
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The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.
These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.
query_eventsQuery event data with segmentation. Returns time-series event counts, optionally segmented by a property.
top_eventsGet the most common events over the last day. Returns event names ranked by volume.
event_propertiesGet the top properties for a specific event. Returns property names ranked by prevalence.
query_funnelsQuery a saved funnel by ID. Returns conversion rates and drop-off at each step.
list_funnelsList all saved funnels in the project. Returns funnel IDs and names.
query_retentionQuery retention data. Shows how many users come back after an initial event.
frequency_reportGet a frequency report (addiction report). Shows how often users perform an event within a time window.
query_profilesQuery user profiles using the Engage API. Filter and retrieve user profile data.
user_activityGet a user's activity stream. Returns recent events for a specific user.
query_insightsRun an Insights report. Flexible analytics query supporting multiple event types.
run_jqlRun a JQL (JavaScript Query Language) script against Mixpanel data. Allows complex custom queries.
segmentation_sumGet the sum of a numeric event property over time. Useful for tracking totals like revenue.
segmentation_averageGet the average of a numeric event property over time. Useful for tracking averages like order value.
list_cohortsList all cohorts in the project. Returns cohort IDs, names, and metadata.
export_eventsExport raw event data as NDJSON. Returns individual events with all properties. Capped at 5000 events.
list_annotationsList all annotations in the project. Annotations are notes attached to specific dates.
Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.
@modelcontextprotocol/sdk has cross-client data leak via shared server/transport instance reuse
Anthropic's MCP TypeScript SDK has a ReDoS vulnerability
Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default
MIXPANEL_API_SECRETOne auth method Project API secret (legacy)MIXPANEL_PROJECT_IDexport ="your-project-id"MIXPANEL_REGIONNo US (default) or EUMIXPANEL_SERVICE_ACCOUNT_PASSWORDexport ="your-password"MIXPANEL_SERVICE_ACCOUNT_USERNAMEexport ="your-username"Tool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
16/16 tools missing one or more hints — query_events (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); top_events (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); event_properties (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +13 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Tool inputs are validated
14/16 tool handlers declare input schemas (88%)
Declare an inputSchema with zod/joi/yup on every tool definition.
Tests exist
No test files found
Add tests that exercise each declared tool.
Production dependencies are patched
0 critical, 3 high severity in production deps — @modelcontextprotocol/sdk@1.12.1 (high), @modelcontextprotocol/sdk@1.12.1 (high)
Run npm audit fix, or upgrade the affected packages to a non-vulnerable version.
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