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aliramw
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dingtalk-ai-table

Manage DingTalk AI Table bases, tables, fields, and records via MCP server.

107|8|Updated Feb 26, 2026
Search Tags:#automation#mcp#scripting#data-management#dingtalk#ai-table
One-click install
npx skills add https://github.com/aliramw/dingtalk-ai-table --skill dingtalk-ai-table-aliramw
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dingtalk-ai-table
Source: https://github.com/aliramw/dingtalk-ai-table/tree/main
Command: npx skills add https://github.com/aliramw/dingtalk-ai-table --skill dingtalk-ai-table-aliramw

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill automates end-to-end management of DingTalk AI Table using the MCP server, converting repetitive table operations into deterministic CLI workflows and enabling rapid, auditable processes.

Core Features & Use Cases

  • Base management: list, create, update, and delete bases, plus quick base searches.
  • Table/Field/Record CRUD: manage tables, fields, and records with batch support.
  • Batch operations: bulk create fields and bulk import records to scale data workflows.
  • Safe, sandboxed execution: relies on OpenClaw sandboxing and MCP version checks for safe usage.

Quick Start

Configure DINGTALK_MCP_URL and run a simple workflow to list bases, create a base, and query records.

Frequently Asked Questions about dingtalk-ai-table

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate DingTalk AI Table tasks using MCP?▼

To automate DingTalk AI Table tasks via MCP, you configure the DINGTALK_MCP_URL and use the server to execute deterministic CLI workflows for Base, Table, Field, and Record management operations.

Do I need Python and mcporter to manage DingTalk AI Table records?▼

Yes, managing DingTalk AI Table records through this MCP workflow requires both Python and mcporter, as the system enforces the new MCP schema and validates inputs using a built-in sandbox.

Can I batch create fields and bulk import records into a DingTalk Base?▼

Yes, you can batch create fields and bulk import records into a DingTalk Base to scale data workflows, as the MCP server supports full CRUD operations across tables with batch processing capabilities.

What is the MCP schema requirement for querying DingTalk AI Table data?▼

Querying DingTalk AI Table data enforces a new MCP schema requiring specific identifiers: you must provide baseId, tableId, fieldId, or recordId parameters to validate inputs and execute operations safely.

Is sandboxed execution required for safe DingTalk AI Table automation?▼

Yes, safe DingTalk AI Table automation relies on OpenClaw sandboxing and MCP version checks, ensuring repetitive table operations and batch record imports are executed securely and remain auditable.

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