AI导哈

智能体工作流

catalyst-zoho-mcp

catalystbyzoho/…t-skills

Catalyst Zoho MCP — manage Catalyst infrastructure (tables, buckets, cache) via CatalystbyZoho_* MCP tools using natural language. Trigger on 'Zoho MCP', 'MCP tools', 'catalyst MCP', 'CatalystbyZoho', 'create table with AI', 'MCP setup', 'MCP config', 'global MCP server', 'infrastructure as conversation', 'MCP first', 'avoid Catalyst console', or 'use MCP instead of console'.

  • 1064 次安装
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安装命令

npx skills add https://github.com/catalystbyzoho/agent-skills --skill catalyst-zoho-mcp

SKILL.md

How It Works

  1. Check if MCP is connected — Look for CatalystbyZoho_* tools in your tool list.

  2. MCP NOT connected — HARD STOP. Do NOT write any code, create any files, or call any SDK. Ask the user which setup path they prefer, then load references/zoho-mcp.md and follow only that path. Do not proceed to step 3 until the user confirms CatalystbyZoho_* tools are visible in their client.

    To work with Catalyst via MCP, choose your setup path:

    Option A — Global MCP Server (recommended)

Add your DC-specific URL to your AI client config, authorize once via browser, done. No console needed. US: https://catalyst.zohomcp.com/mcp/message, EU: https://catalyst.zohomcp.eu/mcp/message, IN: https://catalyst.zohomcp.in/mcp/message, AU: https://catalyst.zohomcp.com.au/mcp/message, CA: https://catalyst.zohomcp.ca/mcp/message, SA: https://catalyst.zohomcp.sa/mcp/message, JP: https://catalyst.zohomcp.jp/mcp/message, UAE: https://catalyst.zohomcp.ae/mcp/message.

Option B — Personal MCP Server (custom/team setup) Create your own server at mcp.zoho.com, select tools, get a personal URL with a token embedded.

Which would you prefer?

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