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Prompts Apipie AI Rube MCP Automation Workflow

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Apipie AI Rube MCP Automation Workflow

Provides instructions for automating Apipie AI operations via Composio's Apipie AI toolkit using Rube MCP, including prerequisites, setup, tool discovery with RUBE_SEARCH_TOOLS, co…

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  • External action: high

SKILL 1 file

SKILL.md
---
name: apipie-ai-automation
description: "Automate Apipie AI tasks via Rube MCP (Composio). Always search tools first for current schemas."
---
# Apipie AI Automation via Rube MCP

Automate Apipie AI operations through Composio's Apipie AI toolkit via Rube MCP.

**Toolkit docs**: [composio.dev/toolkits/apipie_ai](https://composio.dev/toolkits/apipie_ai)

## Prerequisites

- Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
- Active Apipie AI connection via `RUBE_MANAGE_CONNECTIONS` with toolkit `apipie_ai`
- 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 `apipie_ai`
3. If connection is not ACTIVE, follow the returned auth link to complete setup
4. Confirm connection status shows ACTIVE before running any workflows

## Tool Discovery

Always discover available tools before executing workflows:

```
RUBE_SEARCH_TOOLS
queries: [{use_case: "Apipie AI operations", known_fields: ""}]
session: {generate_id: true}
```

This returns available tool slugs, input schemas, recommended execution plans, and known pitfalls.

## Core Workflow Pattern

### Step 1: Discover Available Tools

```
RUBE_SEARCH_TOOLS
queries: [{use_case: "your specific Apipie AI task"}]
session: {id: "existing_session_id"}
```

### Step 2: Check Connection

```
RUBE_MANAGE_CONNECTIONS
toolkits: ["apipie_ai"]
session_id: "your_session_id"
```

### Step 3: Execute Tools

```
RUBE_MULTI_EXECUTE_TOOL
tools: [{
  tool_slug: "TOOL_SLUG_FROM_SEARCH",
  arguments: {/* schema-compliant args from search results */}
}]
memory: {}
session_id: "your_session_id"
```

## Known Pitfalls

- **Always search first**: Tool schemas change. Never hardcode tool slugs or arguments without calling `RUBE_SEARCH_TOOLS`
- **Check connection**: Verify `RUBE_MANAGE_CONNECTIONS` shows ACTIVE status before executing tools
- **Schema compliance**: Use exact field names and types from the search results
- **Memory parameter**: Always include `memory` in `RUBE_MULTI_EXECUTE_TOOL` calls, even if empty (`{}`)
- **Session reuse**: Reuse session IDs within a workflow. Generate new ones for new workflows
- **Pagination**: Check responses for pagination tokens and continue fetching until complete

## Quick Reference

| Operation | Approach |
|-----------|----------|
| Find tools | `RUBE_SEARCH_TOOLS` with Apipie AI-specific use case |
| Connect | `RUBE_MANAGE_CONNECTIONS` with toolkit `apipie_ai` |
| Execute | `RUBE_MULTI_EXECUTE_TOOL` with discovered tool slugs |
| Bulk ops | `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()` |
| Full schema | `RUBE_GET_TOOL_SCHEMAS` for tools with `schemaRef` |

---
*Powered by [Composio](https://composio.dev)*

REQUIRED CONTEXT

  • RUBE_SEARCH_TOOLS availability
  • active apipie_ai connection via RUBE_MANAGE_CONNECTIONS

TOOLS REQUIRED

  • RUBE_SEARCH_TOOLS
  • RUBE_MANAGE_CONNECTIONS
  • RUBE_MULTI_EXECUTE_TOOL
  • RUBE_REMOTE_WORKBENCH
  • RUBE_GET_TOOL_SCHEMAS

ROLES & RULES

  1. Always search tools first for current schemas
  2. Always call RUBE_SEARCH_TOOLS first to get current tool schemas
  3. Always discover available tools before executing workflows
  4. Never hardcode tool slugs or arguments without calling RUBE_SEARCH_TOOLS
  5. Verify RUBE_MANAGE_CONNECTIONS shows ACTIVE status before executing tools
  6. Use exact field names and types from the search results
  7. Always include memory in RUBE_MULTI_EXECUTE_TOOL calls even if empty
  8. Reuse session IDs within a workflow
  9. Generate new session IDs for new workflows
  10. Check responses for pagination tokens and continue fetching until complete

EXPECTED OUTPUT

Format
markdown
Constraints
  • always search tools first
  • verify active connection before execution
  • reuse session ids within workflow

SUCCESS CRITERIA

  • Search tools first
  • Verify active connection before execution
  • Use schema-compliant arguments from search results
  • Include memory parameter on every execute call
  • Reuse session IDs within workflows

FAILURE MODES

  • Hardcoding tool slugs without prior RUBE_SEARCH_TOOLS call
  • Executing tools before confirming ACTIVE connection status
  • Omitting the memory parameter on RUBE_MULTI_EXECUTE_TOOL
  • Failing to handle pagination tokens

EXAMPLES

Includes multiple example RUBE_SEARCH_TOOLS, RUBE_MANAGE_CONNECTIONS and RUBE_MULTI_EXECUTE_TOOL calls with arguments and session handling.

CAVEATS

Dependencies
  • Rube MCP connected (RUBE_SEARCH_TOOLS available)
  • Active Apipie AI connection via RUBE_MANAGE_CONNECTIONS
Missing context
  • Exact JSON schema or message format expected for each RUBE_* tool call
  • Example session_id lifecycle across multiple interactions

QUALITY

OVERALL
0.76
CLARITY
0.85
SPECIFICITY
0.80
REUSABILITY
0.65
COMPLETENESS
0.75

IMPROVEMENT SUGGESTIONS

  • Replace inline placeholders like "your specific Apipie AI task" with explicit {{task_description}} template variables
  • Add a required "output_format" constraint section specifying whether responses should be raw tool calls, summarized steps, or code snippets

USAGE

Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.

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