Extracta AI Automation

What This Skill Does

This skill automates Extracta AI operations using the Composio's Extracta AI toolkit via Rube MCP. It allows users to discover available tools, check connections, and execute specific tasks within Extracta AI. This is useful for developers and engineers who need to integrate and automate Extracta AI functionalities.

When to Use

Automate data extraction workflows. Integrate Extracta AI into existing systems. Dynamically adapt to changing tool schemas. Verify Extracta AI connection status. Execute specific Extracta AI tasks. Discover available Extracta AI tools.

Key Features

Uses Rube MCP for tool discovery and execution. Requires an active Extracta AI connection. Emphasizes dynamic tool schema discovery. Provides a structured workflow pattern. Offers connection management via RUBE_MANAGE_CONNECTIONS. Highlights the importance of schema compliance.

Manual Installation

• Manual installation.
• View Full Skill Content.
• The complete markdown content that gets installed.
• Extracta AI Automation via Rube MCP.

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

Toolkit docs: composio.dev/toolkits/extracta_ai

Prerequisites

Rube MCP must be connected (RUBE_SEARCH_TOOLS available) Active Extracta AI connection via RUBE_MANAGE_CONNECTIONS with toolkit extracta_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.

Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds Call RUBE_MANAGE_CONNECTIONS with toolkit extracta_ai 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: "Extracta 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 Extracta AI task"}] session: {id: "existing_session_id"}

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS toolkits: ["extracta_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

's Extracta AI toolkit via Rube MCP.

Toolkit docs: composio.dev/toolkits/extracta_ai

Rube MCP must be connected (RUBE_SEARCH_TOOLS available) Active Extracta AI connection via RUBE_MANAGE_CONNECTIONS with toolkit extracta_ai Always call RUBE_SEARCH_TOOLS first to get current tool schemas

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 extracta_ai If connection is not ACTIVE, follow the returned auth link to complete setup Confirm connection status shows ACTIVE before running any workflows

Always discover available tools before executing workflows:

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

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

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

RUBE_MANAGE_CONNECTIONS toolkits: ["extracta_ai"] session_id: "your_session_id"

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

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