Ocr Web Service Automation

What This Skill Does

• The OCR Web Service Automation skill allows users to automate OCR Web Service operations through Composio's OCR Web Service toolkit via Rube MCP.
• It is designed for users who need to programmatically extract text from images or documents.
• This skill simplifies the process of integrating OCR functionality into automated workflows.

When to Use

• Automatically extract text from scanned documents.
• Process images for text recognition.
• Integrate OCR into data entry workflows.
• Automate invoice processing.
• Extract text from PDFs programmatically.
• Convert images to searchable text.

Key Features

• Automates OCR Web Service operations via Rube MCP.
• Uses Composio's OCR Web Service toolkit.
• Requires an active OCR Web Service connection.
• Discovers available tools using RUBE_SEARCH_TOOLS.
• Checks connection status with RUBE_MANAGE_CONNECTIONS.
• Executes tools using RUBE_MULTI_EXECUTE_TOOL.

Manual Installation

Automate OCR Web Service operations through Composio's OCR Web Service toolkit via Rube MCP.

Toolkit docs: composio.dev/toolkits/ocr_web_service

Prerequisites

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

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS toolkits: ["ocr_web_service"] 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

Prerequisites

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

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS toolkits: ["ocr_web_service"] 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