catalystbyzoho/agent-skills

catalyst-zoho-mcp

Catalyst Zoho MCP — manage Catalyst infrastructure (tables, buckets, cache) via CatalystbyZoho_* MCP tools using natural language.

Trending #3976 Hot #6033 First seen Jun 21, 2026

Installation

$ npx skills add catalystbyzoho/agent-skills --skill catalyst-zoho-mcp

Summary

  • 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'.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
Cursor Not declared
Codex Not declared
GitHub Copilot Declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 60
License LICENSE
Default branch main
Open issues 5
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Version2.2.1
CompatibilityRequires an MCP-capable AI host: Claude Desktop, VS Code with GitHub Copilot, or Cursor.
Declared agents claude-code github-copilot vscode
More metadata
version
2.2.1

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,347 B
  • docs SUMMARY.md 402 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 434 installs

SKILL.md

How It Works

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

  1. Pre-flight sequence — In order:

- Confirm DC first. Wrong DC = empty org list. Use /catalyst-by-zoho:switch-dc to switch data centers if CatalystbyZohoListAllOrganizations returns empty or the wrong org. - Run CatalystbyZohoListAllOrganizationsCatalystbyZohoListAll_Projects to set project context before any other MCP tool call.

  1. Load references/zoho-mcp.md — for the full tool catalog, execution flow, and common error fixes.
  2. If the query involves DataStore (create table, add columns, query data) — also load references/mcp-datastore.md.
  3. Answer — Call the appropriate CatalystbyZoho_* tool directly. Show the user what tool was called and what it returned.

Triggers

Use this skill for: "Zoho MCP", "MCP tools", "catalyst MCP", "create table with AI", "MCP DataStore", "MCP Cache", "MCP Stratus", zoho-mcp-server, "MCP setup", "MCP config", "global MCP server", "infrastructure as conversation", "Claude MCP Catalyst", "MCP tool error", "MCP not connecting", "use AI to create database table", or CatalystbyZoho_ tool.

References

Reference Load when the query is about…
references/zoho-mcp.md Global MCP server setup (all 3 clients), all available CatalystbyZoho_* tools, execution flow, org→project pre-flight sequence, common MCP errors
references/mcp-datastore.md Creating tables/columns via MCP, DataStore column types, batch column creation, data type constraints