PromptShop

Zenserp Automation

Automate SERP data extraction using Composio's Zenserp toolkit via Rube MCP.

Install

npx promptshop add zenserp-automation

Details

What This Skill Does

The Zenserp Automation skill enables users to automate search engine result page (SERP) data extraction using Composio's Zenserp toolkit via Rube MCP. It is intended for users who need to programmatically access and analyze SERP data. The skill requires an active Zenserp connection and Rube MCP setup.

When to Use

Automate SERP data extractionMonitor keyword rankingsAnalyze competitor strategiesTrack search trendsGather SEO dataBuild custom SERP analysis tools

Key Features

Automates Zenserp tasks via Rube MCPUses Composio's Zenserp toolkitRequires Rube MCP and Zenserp connectionDiscovers available tools dynamicallyProvides a core workflow patternOffers guidance on avoiding common pitfalls

Prerequisites

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

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS toolkits: ["zenserp"] 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 Zenserp-specific use case
ConnectRUBE_MANAGE_CONNECTIONS with toolkit zenserp
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