Mixpanel Automation

Mixpanel Automation via Rube MCP

Automate Mixpanel product analytics through Composio's Mixpanel toolkit via Rube MCP.

Prerequisites

• Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
• Active Mixpanel connection via RUBE_MANAGE_CONNECTIONS with toolkit mixpanel
• Always call RUBE_SEARCH_TOOLS first to get current tool schemas

Setup

Get Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.

1. Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds
2. Call RUBE_MANAGE_CONNECTIONS with toolkit mixpanel
3. If connection is not ACTIVE, follow the returned auth link to complete Mixpanel authentication
4. Confirm connection status shows ACTIVE before running any workflows

Core Workflows

1. Aggregate Event Data

When to use: User wants to count events, get totals, or track event trends over time

Tool sequence:

1. MIXPANEL_GET_ALL_PROJECTS - List projects to get project ID [Prerequisite]
2. MIXPANEL_AGGREGATE_EVENT_COUNTS - Get event counts and aggregations [Required]

Key parameters:

• event: Event name or array of event names to aggregate
• from_date / to_date: Date range in 'YYYY-MM-DD' format
• unit: Time granularity ('minute', 'hour', 'day', 'week', 'month')
• type: Aggregation type ('general', 'unique', 'average')
• where: Filter expression for event properties

Pitfalls:

• Date format must be 'YYYY-MM-DD'; other formats cause errors
• Event names are case-sensitive; use exact names from your Mixpanel project
• where filter uses Mixpanel expression syntax (e.g., properties["country"] == "US")
• Maximum date range may be limited depending on your Mixpanel plan

2. Run Segmentation Queries

When to use: User wants to break down events by properties for detailed analysis

Tool sequence:

1. MIXPANEL_QUERY_SEGMENTATION - Run segmentation analysis [Required]

Key parameters:

• event: Event name to segment
• from_date / to_date: Date range in 'YYYY-MM-DD' format
• on: Property to segment by (e.g., properties["country"])
• unit: Time granularity
• type: Count type ('general', 'unique', 'average')
• where: Filter expression
• limit: Maximum number of segments to return

Pitfalls:

• The on parameter uses Mixpanel property expression syntax
• Property references must use properties["prop_name"] format
• Segmentation on high-cardinality properties returns capped results; use limit
• Results are grouped by the segmentation property and time unit

3. Analyze Funnels

When to use: User wants to track conversion funnels and identify drop-off points

Tool sequence:

1. MIXPANEL_LIST_FUNNELS - List saved funnels to find funnel ID [Prerequisite]
2. MIXPANEL_QUERY_FUNNEL - Execute funnel analysis [Required]

Key parameters:

• funnel_id: ID of the saved funnel to query
• from_date / to_date: Date range
• unit: Time granularity
• where: Filter expression
• on: Property to segment funnel by
• length: Conversion window in days

Pitfalls:

• funnel_id is required; resolve via LIST_FUNNELS first
• Funnels must be created in Mixpanel UI first; API only queries existing funnels
• Conversion window (length) defaults vary; set explicitly for accuracy
• Large date ranges with segmentation can produce very large responses

4. Manage User Profiles

When to use: User wants to query or update user profiles in Mixpanel

Tool sequence:

1. MIXPANEL_QUERY_PROFILES - Search and filter user profiles [Required]
2. MIXPANEL_PROFILE_BATCH_UPDATE - Update multiple user profiles [Optional]

Key parameters:

• where: Filter expression for profile properties (e.g., properties["plan"] == "premium")
• output_properties: Array of property names to include in results
• page: Page number for pagination
• session_id: Session ID for consistent pagination (from first response)
• For batch update: array of profile updates with $distinct_id and property operations

Pitfalls:

• Profile queries return paginated results; use session_id from first response for consistent paging
• where uses Mixpanel expression syntax for profile properties
• BATCH_UPDATE applies operations ($set, $unset, $add, $append) to profiles
• Batch update has a maximum number of profiles per request; chunk larger updates
• Profile property names are case-sensitive

5. Manage Cohorts

When to use: User wants to list or analyze user cohorts

Tool sequence:

1. MIXPANEL_COHORTS_LIST - List all saved cohorts [Required]

Key parameters:

• No required parameters; returns all accessible cohorts
• Response includes cohort id, name, description, count

Pitfalls:

• Cohorts are created and managed in Mixpanel UI; API provides read access
• Cohort IDs are numeric; use exact ID from list results
• Cohort counts may be approximate for very large cohorts
• Cohorts can be used as filters in other queries via where expressions

6. Run JQL and Insight Queries

When to use: User wants to run custom JQL queries or insight analyses

Tool sequence:

1. MIXPANEL_JQL_QUERY - Execute a custom JQL (JavaScript Query Language) query [Optional]
2. MIXPANEL_QUERY_INSIGHT - Run a saved insight query [Optional]

Key parameters:

• For JQL: script containing the JQL JavaScript code
• For Insight: bookmark_id of the saved insight
• project_id: Project context for the query

Pitfalls:

• JQL uses JavaScript-like syntax specific to Mixpanel
• JQL queries have execution time limits; optimize for efficiency
• Insight bookmark_id must reference an existing saved insight
• JQL is a legacy feature; check Mixpanel documentation for current availability

Common Patterns

ID Resolution

Project name -> Project ID:

1. Call MIXPANEL_GET_ALL_PROJECTS
2. Find project by name in results
3. Extract project id

Funnel name -> Funnel ID:

1. Call MIXPANEL_LIST_FUNNELS
2. Find funnel by name
3. Extract funnel_id

Mixpanel Expression Syntax

Used in where and on parameters:

• Property reference: properties["property_name"]
• Equality: properties["country"] == "US"
• Comparison: properties["age"] > 25
• Boolean: properties["is_premium"] == true
• Contains: "search_term" in properties["name"]
• AND/OR: properties["country"] == "US" and properties["plan"] == "pro"

Pagination

• Event queries: Follow date-based pagination by adjusting date ranges
• Profile queries: Use page number and session_id for consistent results
• Funnel/cohort lists: Typically return complete results without pagination

Known Pitfalls

Date Formats:

• Always use 'YYYY-MM-DD' format
• Date ranges are inclusive on both ends
• Data freshness depends on Mixpanel ingestion delay (typically minutes)

Expression Syntax:

• Property references always use properties["name"] format
• String values must be quoted: properties["status"] == "active"
• Numeric values are unquoted: properties["count"] > 10
• Boolean values: true / false (lowercase)

Rate Limits:

• Mixpanel API has rate limits per project
• Large segmentation queries may time out; reduce date range or segments
• Use batch operations where available to minimize API calls

Response Parsing:

• Response data may be nested under data key
• Event data is typically grouped by date and segment
• Numeric values may be returned as strings; parse explicitly
• Empty date ranges return empty objects, not empty arrays

Quick Reference

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

AGI Framework Integration

Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills

Memory-First Protocol

Cache workflow configurations and automation patterns. Retrieve prior pipeline designs to avoid re-building similar flows from scratch.

# Check for prior workflow/automation context before starting
python3 execution/memory_manager.py auto --query "automation patterns and workflow configurations for Mixpanel Automation"

Storing Results

After completing work, store workflow/automation decisions for future sessions:

python3 execution/memory_manager.py store \
  --content "Workflow: automated data pipeline with retry logic, dead-letter queue, and Slack alerts on failure" \
  --type technical --project <project> \
  --tags mixpanel-automation workflow

Multi-Agent Collaboration

Share workflow state with other agents so they can trigger, monitor, or extend the automation.

python3 execution/cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "Workflow automation deployed — pipeline processing 1000+ events/day with 99.9% success rate" \
  --project <project>

Playbook Engine

Combine this skill with others using the Playbook Engine (execution/workflow_engine.py) for guided multi-step automation with progress tracking.