PromptShop

Browseai Automation

This skill automates Browseai operations through the Composio platform using Rube MCP

Install

npx promptshop add browseai-automation

Details

What This Skill Does

This skill automates Browseai operations through the Composio platform using Rube MCP. It allows users to interact with Browseai's functionalities programmatically. It's designed for developers and automation engineers who need to integrate Browseai into their workflows.

When to Use

  • Scrape data from dynamic websites
  • Monitor website content changes
  • Automate form filling on web pages
  • Extract product information from e-commerce sites
  • Perform automated web testing
  • Integrate web data into other applications

Key Features

  • Uses Rube MCP for tool discovery and execution
  • Requires an active Browseai connection
  • Provides a structured workflow pattern for automation
  • Emphasizes the importance of dynamic schema discovery
  • Offers connection management via RUBE_MANAGE_CONNECTIONS
  • Uses RUBE_MULTI_EXECUTE_TOOL for task execution

Prerequisites

Rube MCP must be connected (RUBE_SEARCH_TOOLS available) Active Browseai connection via RUBE_MANAGE_CONNECTIONS with toolkit browseai 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 browseai 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: "Browseai 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 Browseai task"}] session: {id: "existing_session_id"}

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS toolkits: ["browseai"] 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 Browseai-specific use case
ConnectRUBE_MANAGE_CONNECTIONS with toolkit browseai
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

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