# gsc-mcp-connector

> gsc-mcp-connector — dzhitnitsky-gsc-mcp-connector. Use this tool when you need to integrate Google Search Console with AI assistants, enabling natural language queries to analyze search analytics, inspect URLs, and manage sites. It solves problems of manual data retrieval and analysis, providing a self-hosted MCP server for streamlined search console management. The tool accepts natural language inputs and outputs relevant search analytics data, ideal for use cases requiring voice-activated or AI-driven search console insights.

Canonical page: https://skillsregistry.net/skills/dzhitnitsky-gsc-mcp-connector  
JSON: https://api.skillsregistry.net/v1/skills/dzhitnitsky-gsc-mcp-connector

## Description

Self-hosted MCP server for Google Search Console. Enables natural language queries to list sites, analyze search analytics, inspect URLs, and check sitemaps through AI assistants.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mlcmzqh43g)
- **Repository:** <https://github.com/dzhitnitsky/gsc-mcp-connector>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dzhitnitsky-gsc-mcp-connector"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dzhitnitsky-gsc-mcp-connector` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dzhitnitsky-gsc-mcp-connector/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt