# Google Search Console MCP (pypi · google-search-console-mcp)

Google Search Console MCP: search performance analytics, rankings, sitemaps, and indexing health.

- Trust score: 55/100 (low)
- Change this week: −15
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-05

## Components

- pypi · `google-search-console-mcp`: 55/100 (this document), [markdown](https://verifymcp.io/servers/surendranb-google-search-console-mcp/google-search-console-mcp.md), [page](https://verifymcp.io/servers/surendranb-google-search-console-mcp/google-search-console-mcp)

## Channel facts

- Registry: `pypi`
- Package: `google-search-console-mcp`
- Version: `0.10.10`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-11-05.

- **Supply Chain Security**: 50/100
  - Malware scan not yet available for this package.
  - No known CVEs affecting this package version or its production dependencies.
  - Runs hatchling.build at install time, a recognised build step with no custom scripting around it.
  - 2 of 50 dependencies flagged as unhealthy.
- **Provenance & Transparency**: 48/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 7 days ago).
  - Publishes a security disclosure policy (SECURITY.md).
- **Schema Quality & AI Usability**: 80/100
  - 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 1079 tokens (~63/item across 17 items; 12 tools + 5 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 0/100
  - Stability not yet verified: not enough scan history yet (needs a 30-day window).
- **Tool Coverage**: 71/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 0% of tool parameters carry a description.
  - Structured output schemas are declared (8% of tools); any adoption earns full credit.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - All 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation.
  - An AI judge read all 14 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a current MCP spec version (2026-07-28).

**Unverified: 1 category.** A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

## Install

### How do I install the Google Search Console MCP server?

Google Search Console MCP runs locally as a PyPI package, launched with uvx google-search-console-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add surendranb-google-search-console-mcp -- uvx google-search-console-mcp
```

### Cursor

```json
{
  "mcpServers": {
    "surendranb-google-search-console-mcp": {
      "command": "uvx",
      "args": [
        "google-search-console-mcp"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "surendranb-google-search-console-mcp": {
      "command": "uvx",
      "args": [
        "google-search-console-mcp"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add surendranb-google-search-console-mcp -- uvx google-search-console-mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "surendranb-google-search-console-mcp": {
      "type": "local",
      "command": [
        "uvx",
        "google-search-console-mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add surendranb-google-search-console-mcp --command uvx --arg google-search-console-mcp
```

### Hermes

```yaml
mcp_servers:
  surendranb-google-search-console-mcp:
    command: "uvx"
    args: ["google-search-console-mcp"]
```

### Netclaw

```json
{
  "McpServers": {
    "surendranb-google-search-console-mcp": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "google-search-console-mcp"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add surendranb-google-search-console-mcp -t stdio -c uvx -a google-search-console-mcp
```

### Other

```json
{
  "mcpServers": {
    "surendranb-google-search-console-mcp": {
      "command": "uvx",
      "args": [
        "google-search-console-mcp"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-11-05 (score 55, −15)

- [security regression] Malware scan: pass → unverified

### 2026-10-29 (score 70, +15)

- [security improvement] Malware scan: unverified → pass

### 2026-10-28 (score 55)

First indexed and scored.

## MCP tools (12)

### `list_gsc_sites` (~32 tokens)

List all sites verified in Google Search Console.

Returns:
    List of verified sites with their permission levels.

### `list_sites` (~37 tokens)

List all sites verified in Google Search Console (alias for list_gsc_sites).

Returns:
    List of verified sites with their permission levels.

### `list_available_dimensions` (~33 tokens)

List all available GSC dimensions with their descriptions.

Returns:
    List of dimension objects with api_name and description.

### `list_available_metrics` (~33 tokens)

List all available GSC metrics with their descriptions.

Returns:
    List of metric objects with api_name and description.

### `skills_list` (~50 tokens)

List available analytical skills (playbooks) for Google Search Console.
Use this to learn proven field combinations and how to interpret GSC data for specific SEO tasks. Fetch the full playbook with skill_read.

### `skill_read` (~73 tokens)

Fetch the full content of one analytical skill (playbook) for Google Search Console.

Args:
    skill_id: The skill id from skills_list (e.g., "brand_visibility.md")
    
Returns:
    The full skill content with title, description, and playbook steps.

Input parameters:

- `skill_id` (string, required)

### `get_search_analytics` (~301 tokens)

Retrieve Google Search Console search analytics data.

Args:
    dimensions: List of dimensions from: country, device, page, query, searchAppearance, date
    start_date: Start date in YYYY-MM-DD format (defaults to 30 days ago)
    end_date: End date in YYYY-MM-DD format (defaults to 3 days ago)
    filters: List of filter objects (e.g., [{"dimension": "country", "operator": "equals", "expression": "usa"}])
    search_type: Type of search ('web', 'image', 'video', 'news', 'discover', 'googleNews')
    row_limit: Maximum number of rows to return (max 25000)
    start_row: Starting row for pagination (0-based)
    summary_only: If True, returns only aggregated totals (Token Efficient)
    intent: Short plain-English description of what the user is trying to learn/accomplish. E.g. "which queries drive clicks to the pricing page", "mobile vs desktop performance last month".

Returns:
    Dictionary containing search analytics data with clicks, impressions, ctr, and position metrics.

Input parameters:

- `dimensions` (array)
- `end_date`
- `filters`
- `intent` (string)
- `row_limit` (integer)
- `search_type` (string)
- `start_date`
- `start_row` (integer)
- `summary_only` (boolean)

Output parameters:

- `result`

### `get_sitemaps` (~35 tokens)

Get all sitemaps for the configured site.

Returns:
    List of sitemaps with their status and details.

### `submit_sitemap` (~50 tokens)

Submit a sitemap to Google Search Console.

Args:
    sitemap_url: Full URL of the sitemap to submit
    
Returns:
    Success message or error details.

Input parameters:

- `sitemap_url` (string, required)

### `delete_sitemap` (~50 tokens)

Delete a sitemap from Google Search Console.

Args:
    sitemap_url: Full URL of the sitemap to delete
    
Returns:
    Success message or error details.

Input parameters:

- `sitemap_url` (string, required)

### `check_for_updates` (~24 tokens)

Check PyPI for newer versions of this MCP server and get upgrade instructions.

### `setup_gsc_access` (~78 tokens)

Interactively fix a broken Google Search Console MCP setup (missing or
wrong credentials path, missing GSC_SITE_URL, invalid key, or missing
property access) by asking the user for the needed value through the
client, then re-initializing without a restart. Call this whenever a
configuration or authentication error is reported.

## Diagnostics

Captured diagnostic sections: Provenance, Install scripts, Dependencies. The full working is on the page: https://verifymcp.io/servers/surendranb-google-search-console-mcp/google-search-console-mcp#diagnostics

## Score history

- 2026-11-05: 55
- 2026-11-04: 70
- 2026-11-03: 70
- 2026-11-02: 70
- 2026-11-01: 70
- 2026-10-31: 70
- 2026-10-30: 70
- 2026-10-29: 70
- 2026-10-28: 55

## Common questions

### What is the Google Search Console MCP server?

Google Search Console MCP is listed in the public MCP registry as io.github.surendranb/google-search-console-mcp. Google Search Console MCP: search performance analytics, rankings, sitemaps, and indexing health. This page covers its PyPI package (google-search-console-mcp).

### Is the Google Search Console MCP server safe to use?

Google Search Console MCP scores 55 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the Google Search Console MCP server expose?

Google Search Console MCP exposes 12 tools: list_gsc_sites, list_sites, list_available_dimensions, list_available_metrics, skills_list, and 7 more. Their descriptions and schemas cost roughly 796 tokens of context every time the server is loaded.

### Is the Google Search Console MCP server still maintained?

Google Search Console MCP is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

### What licence is the Google Search Console MCP server under?

Google Search Console MCP declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.

## Links

- PyPI project: https://pypi.org/project/google-search-console-mcp/
- Socket report: https://socket.dev/pypi/package/google-search-console-mcp
- Repository: https://github.com/surendranb/google-search-console-mcp
- Changelog RSS feed: https://verifymcp.io/servers/surendranb-google-search-console-mcp/google-search-console-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/surendranb-google-search-console-mcp/google-search-console-mcp.json
- HTML version of this page: https://verifymcp.io/servers/surendranb-google-search-console-mcp/google-search-console-mcp