Make Automation

Make Automation via Rube MCP

Automate Make (formerly Integromat) operations through Composio's Make toolkit via Rube MCP.

Prerequisites

• Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
• Active Make connection via RUBE_MANAGE_CONNECTIONS with toolkit make
• 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 make
3. If connection is not ACTIVE, follow the returned auth link to complete Make authentication
4. Confirm connection status shows ACTIVE before running any workflows

Core Workflows

1. Get Operations Data

When to use: User wants to retrieve operation logs or usage data from Make scenarios

Tool sequence:

1. MAKE_GET_OPERATIONS - Retrieve operation records [Required]

Key parameters:

• Check current schema via RUBE_SEARCH_TOOLS for available filters
• May include date range, scenario ID, or status filters

Pitfalls:

• Operations data may be paginated; check for pagination tokens
• Date filters must match expected format from schema
• Large result sets should be filtered by date range or scenario

2. List Available Languages

When to use: User wants to see supported languages for Make scenarios or interfaces

Tool sequence:

1. MAKE_LIST_ENUMS_LANGUAGES - Get all supported language codes [Required]

Key parameters:

• No required parameters; returns complete language list

Pitfalls:

• Language codes follow standard locale format (e.g., 'en', 'fr', 'de')
• List is static and rarely changes; cache results when possible

3. List Available Timezones

When to use: User wants to see supported timezones for scheduling Make scenarios

Tool sequence:

1. MAKE_LIST_ENUMS_TIMEZONES - Get all supported timezone identifiers [Required]

Key parameters:

• No required parameters; returns complete timezone list

Pitfalls:

• Timezone identifiers use IANA format (e.g., 'America/New_York', 'Europe/London')
• List is static and rarely changes; cache results when possible
• Use these exact timezone strings when configuring scenario schedules

4. Scenario Configuration Lookup

When to use: User needs to configure scenarios with correct language and timezone values

Tool sequence:

1. MAKE_LIST_ENUMS_LANGUAGES - Get valid language codes [Required]
2. MAKE_LIST_ENUMS_TIMEZONES - Get valid timezone identifiers [Required]

Key parameters:

• No parameters needed for either call

Pitfalls:

• Always verify language and timezone values against these enums before using in configuration
• Using invalid values in scenario configuration will cause errors

Common Patterns

Enum Validation

Before configuring any Make scenario properties that accept language or timezone:

1. Call MAKE_LIST_ENUMS_LANGUAGES or MAKE_LIST_ENUMS_TIMEZONES
2. Verify the desired value exists in the returned list
3. Use the exact string value from the enum list

Operations Monitoring

1. Call MAKE_GET_OPERATIONS with date range filters
2. Analyze operation counts, statuses, and error rates
3. Identify failed operations for troubleshooting

Caching Strategy for Enums

Since language and timezone lists are static:

1. Call MAKE_LIST_ENUMS_LANGUAGES once at workflow start
2. Store results in memory or local cache
3. Validate user inputs against cached values
4. Refresh cache only when starting a new session

Operations Analysis Workflow

For scenario health monitoring:

1. Call MAKE_GET_OPERATIONS with recent date range
2. Group operations by scenario ID
3. Calculate success/failure ratios per scenario
4. Identify scenarios with high error rates
5. Report findings to user or notification channel

Integration with Other Toolkits

Make workflows often connect to other apps. Compose multi-tool workflows:

1. Call RUBE_SEARCH_TOOLS to find tools for the target app
2. Connect required toolkits via RUBE_MANAGE_CONNECTIONS
3. Use Make operations data to understand workflow execution patterns
4. Execute equivalent workflows directly via individual app toolkits

Known Pitfalls

Limited Toolkit:

• The Make toolkit in Composio currently has limited tools (operations, languages, timezones)
• For full scenario management (creating, editing, running scenarios), consider using Make's native API
• Always call RUBE_SEARCH_TOOLS to check for newly available tools
• The toolkit may be expanded over time; re-check periodically

Operations Data:

• Operation records may have significant volume for active accounts
• Always filter by date range to avoid fetching excessive data
• Operation counts relate to Make's pricing tiers and quota usage
• Failed operations should be investigated; they may indicate scenario configuration issues

Response Parsing:

• Response data may be nested under data key
• Enum lists return arrays of objects with code and label fields
• Operations data includes nested metadata about scenario execution
• Parse defensively with fallbacks for optional fields

Rate Limits:

• Make API has rate limits per API token
• Avoid rapid repeated calls to the same endpoint
• Cache enum results (languages, timezones) as they rarely change
• Operations queries should use targeted date ranges

Authentication:

• Make API uses token-based authentication
• Tokens may have different permission scopes
• Some operations data may be restricted based on token scope
• Check that the authenticated user has access to the target organization

Quick Reference

Additional Notes

Alternative Approaches

Since the Make toolkit has limited tools, consider these alternatives for common Make use cases:

Composing Equivalent Workflows

Instead of relying solely on Make's toolkit, build equivalent automation directly:

1. Identify the apps involved in your Make scenario
2. Search for each app's tools via RUBE_SEARCH_TOOLS
3. Connect all required toolkits
4. Build the workflow step-by-step using individual app tools
5. Save as a recipe via RUBE_CREATE_UPDATE_RECIPE for reuse

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 Make 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 make-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.