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Dadata Ru Automation

Automate Dadata operations and workflows via Rube MCP integration.

Install

npx promptshop add dadata-ru-automation

Details

What This Skill Does

This skill automates operations within Dadata Ru using Composio's toolkit via Rube MCP. It enables users to streamline tasks related to address verification and data enrichment in Russia. This is useful for businesses operating in Russia that need to validate and standardize address information.

When to Use

Verify Russian addressesEnrich customer dataStandardize address formatsFind company detailsGeocode addressesPrevent fraud

Key Features

Uses Rube MCP for automationRequires an active Dadata Ru connectionDiscovers available tools via RUBE_SEARCH_TOOLSChecks connection status before executionExecutes tools using RUBE_MULTI_EXECUTE_TOOLProvides toolkit documentation for reference

Manual Installation

Manual installationView Full Skill ContentThe complete markdown content that gets installedDadata Ru Automation via Rube MCP

Automate Dadata Ru operations through Composio's Dadata Ru toolkit via Rube MCP.

Toolkit docs: composio.dev/toolkits/dadata_ru

Prerequisites

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

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS toolkits: ["dadata_ru"] 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 Dadata Ru-specific use case
ConnectRUBE_MANAGE_CONNECTIONS with toolkit dadata_ru
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

Automate Dadata Ru operations through Composio's Dadata Ru toolkit via Rube MCP.

Toolkit docs: composio.dev/toolkits/dadata_ru