mcp-server-gsc: A Model Context Protocol (MCP) server providing access to Google Search Console

by ahonn · MCP Server · ★ 261

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install mcp-server-gsc

npm install mcp-server-gsc

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 54/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars261
Forks53
LanguageTypeScript
CategoryMCP Server
Quality Score54/100
Open Issues1
Last Updated2026-09-04
Created2024-12-04
Platformsmcp, node
Est. Tokens~6k

About mcp-server-gsc

Google Search Console MCP Server A Model Context Protocol (MCP) server providing comprehensive access to Google Search Console data with enhanced analytics capabilities. Features Enhanced Search Analytics: Retrieve up to 25,000 rows of performance data Advanced Filtering: Support for regex patterns and multiple filter operators Quick Wins Detection: Automatically identify optimization...

Compatible Skills

These tools work well together with mcp-server-gsc for enhanced workflows:

  • bookstack-mcp-server — semantic(0.59)+same_lang+similar_pop+shared_platform (56%)
  • square-mcp-server — semantic(0.49)+same_lang+similar_pop+shared_platform (52%)
  • mcp-server — semantic(0.44)+same_lang+similar_pop+shared_platform (50%)
  • lunchmoney-mcp — semantic(0.43)+same_lang+similar_pop+shared_platform (50%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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