# gsc-mcp-connector

> gsc-mcp-connector — bushraorganic-dot-gsc-mcp-connector. Use this tool when you need to integrate Google Search Console data with natural language querying capabilities, enabling effortless analysis and insights through ChatGPT, Claude, or other MCP-capable clients. It solves problems of data accessibility and complexity by providing a self-hosted MCP server deployable to Cloudflare Workers. This tool accepts natural language queries as input and returns relevant GSC data as output, ideal for use cases requiring streamlined data analysis and decision-making.

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

## Description

Self-hosted Google Search Console MCP server deployable to Cloudflare Workers, allowing natural language queries of GSC data via ChatGPT, Claude, or any MCP-capable client.

## 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:** cloud-infra
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h8qgqorjbj)
- **Repository:** <https://github.com/bushraorganic-dot/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": "bushraorganic-dot-gsc-mcp-connector"
    }
  }
}
```

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