PromptShop

Flowiseai Automation

This skill automates interactions with Flowiseai using the Flowiseai toolkit via Rube MCP.

Install

npx promptshop add flowiseai-automation

Details

What This Skill Does

This skill automates interactions with Flowiseai using the Flowiseai toolkit via Rube MCP. It enables users to programmatically manage and interact with Flowiseai workflows. It is designed for developers who want to integrate Flowiseai with other systems.

When to Use

  • Trigger Flowiseai workflows automatically.
  • Pass data to Flowiseai workflows.
  • Retrieve results from Flowiseai.
  • Integrate AI workflows into apps.
  • Automate AI-driven tasks.
  • Manage Flowiseai deployments.

Key Features

  • Uses Rube MCP for tool discovery and execution.
  • Requires an active Flowiseai connection.
  • Employs RUBE_SEARCH_TOOLS to find available tools.
  • Uses RUBE_MANAGE_CONNECTIONS to manage the Flowiseai connection.
  • Executes tools using RUBE_MULTI_EXECUTE_TOOL.
  • Provides a structured workflow for automation.

Flowiseai Automation via Rube MCP

Automate Flowiseai operations through Composio's Flowiseai toolkit via Rube MCP.

Toolkit docs: composio.dev/toolkits/flowiseai

Prerequisites

Rube MCP must be connected (RUBE_SEARCH_TOOLS available) Active Flowiseai connection via RUBE_MANAGE_CONNECTIONS with toolkit flowiseai 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.

Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds Call RUBE_MANAGE_CONNECTIONS with toolkit flowiseai If connection is not ACTIVE, follow the returned auth link to complete setup Confirm connection status shows ACTIVE before running any workflows

Tool Discovery

Always discover available tools before executing workflows:

RUBE_SEARCH_TOOLS queries: [{use_case: "Flowiseai 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 Flowiseai task"}] session: {id: "existing_session_id"}

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS toolkits: ["flowiseai"] 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

OperationApproach
Find toolsRUBE_SEARCH_TOOLS with Flowiseai-specific use case
ConnectRUBE_MANAGE_CONNECTIONS with toolkit flowiseai
ExecuteRUBE_MULTI_EXECUTE_TOOL with discovered tool slugs
Bulk opsRUBE_REMOTE_WORKBENCH with run_composio_tool()
Full schemaRUBE_GET_TOOL_SCHEMAS for tools with schemaRef