google-search-console-automation

Automate Google Search Console tasks via Rube MCP (Composio): search performance, URL inspection, sitemaps, and indexing status. Always search tools first for current schemas.

16 stars

Best use case

google-search-console-automation is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Automate Google Search Console tasks via Rube MCP (Composio): search performance, URL inspection, sitemaps, and indexing status. Always search tools first for current schemas.

Teams using google-search-console-automation should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/google_search_console-automation/SKILL.md --create-dirs "https://raw.githubusercontent.com/diegosouzapw/awesome-omni-skill/main/skills/development/google_search_console-automation/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/google_search_console-automation/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How google-search-console-automation Compares

Feature / Agentgoogle-search-console-automationStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Automate Google Search Console tasks via Rube MCP (Composio): search performance, URL inspection, sitemaps, and indexing status. Always search tools first for current schemas.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Google Search Console Automation via Rube MCP

Automate Google Search Console operations through Composio's Google Search Console toolkit via Rube MCP.

**Toolkit docs**: [composio.dev/toolkits/google_search_console](https://composio.dev/toolkits/google_search_console)

## Prerequisites

- Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
- Active Google Search Console connection via `RUBE_MANAGE_CONNECTIONS` with toolkit `google_search_console`
- 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.

1. Verify Rube MCP is available by confirming `RUBE_SEARCH_TOOLS` responds
2. Call `RUBE_MANAGE_CONNECTIONS` with toolkit `google_search_console`
3. If connection is not ACTIVE, follow the returned auth link to complete setup
4. Confirm connection status shows ACTIVE before running any workflows

## Tool Discovery

Always discover available tools before executing workflows:

```
RUBE_SEARCH_TOOLS: queries=[{"use_case": "search performance, URL inspection, sitemaps, and indexing status", "known_fields": ""}]
```

This returns:
- Available tool slugs for Google Search Console
- Recommended execution plan steps
- Known pitfalls and edge cases
- Input schemas for each tool

## Core Workflows

### 1. Discover Available Google Search Console Tools

```
RUBE_SEARCH_TOOLS:
  queries:
    - use_case: "list all available Google Search Console tools and capabilities"
```

Review the returned tools, their descriptions, and input schemas before proceeding.

### 2. Execute Google Search Console Operations

After discovering tools, execute them via:

```
RUBE_MULTI_EXECUTE_TOOL:
  tools:
    - tool_slug: "<discovered_tool_slug>"
      arguments: {<schema-compliant arguments>}
  memory: {}
  sync_response_to_workbench: false
```

### 3. Multi-Step Workflows

For complex workflows involving multiple Google Search Console operations:

1. Search for all relevant tools: `RUBE_SEARCH_TOOLS` with specific use case
2. Execute prerequisite steps first (e.g., fetch before update)
3. Pass data between steps using tool responses
4. Use `RUBE_REMOTE_WORKBENCH` for bulk operations or data processing

## Common Patterns

### Search Before Action
Always search for existing resources before creating new ones to avoid duplicates.

### Pagination
Many list operations support pagination. Check responses for `next_cursor` or `page_token` and continue fetching until exhausted.

### Error Handling
- Check tool responses for errors before proceeding
- If a tool fails, verify the connection is still ACTIVE
- Re-authenticate via `RUBE_MANAGE_CONNECTIONS` if connection expired

### Batch Operations
For bulk operations, use `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()` in a loop with `ThreadPoolExecutor` for parallel execution.

## Known Pitfalls

- **Always search tools first**: Tool schemas and available operations may change. Never hardcode tool slugs without first discovering them via `RUBE_SEARCH_TOOLS`.
- **Check connection status**: Ensure the Google Search Console connection is ACTIVE before executing any tools. Expired OAuth tokens require re-authentication.
- **Respect rate limits**: If you receive rate limit errors, reduce request frequency and implement backoff.
- **Validate schemas**: Always pass strictly schema-compliant arguments. Use `RUBE_GET_TOOL_SCHEMAS` to load full input schemas when `schemaRef` is returned instead of `input_schema`.

## Quick Reference

| Operation | Approach |
|-----------|----------|
| Find tools | `RUBE_SEARCH_TOOLS` with Google Search Console-specific use case |
| Connect | `RUBE_MANAGE_CONNECTIONS` with toolkit `google_search_console` |
| Execute | `RUBE_MULTI_EXECUTE_TOOL` with discovered tool slugs |
| Bulk ops | `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()` |
| Full schema | `RUBE_GET_TOOL_SCHEMAS` for tools with `schemaRef` |

> **Toolkit docs**: [composio.dev/toolkits/google_search_console](https://composio.dev/toolkits/google_search_console)

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