# gsc-mcp-connector

> gsc-mcp-connector — pradeepoct-google-search-console-mcp. Use this tool when you need to access Google Search Console data through natural language queries, enabling effortless retrieval of search analytics, URL inspection, and sitemaps information. It solves problems of manual data extraction and complex query formulation, providing a seamless interface for MCP-capable clients like ChatGPT and Claude. By deploying the gsc-mcp-connector to Cloudflare Workers, users can input natural language queries and receive relevant GSC data as output.

Canonical page: https://skillsregistry.net/skills/pradeepoct-google-search-console-mcp  
JSON: https://api.skillsregistry.net/v1/skills/pradeepoct-google-search-console-mcp

## Description

Self-hosted Google Search Console MCP server deployable to Cloudflare Workers that enables querying GSC data (search analytics, URL inspection, sitemaps) via natural language through ChatGPT, Claude, or any MCP-capable client.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vhnjpi1hnt)
- **Repository:** <https://github.com/pradeepoct/google-search-console-mcp>

## 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": "pradeepoct-google-search-console-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pradeepoct-google-search-console-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pradeepoct-google-search-console-mcp/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