by sudomichael · MCP Server · ★ 7
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
| Stars | 7 |
| Forks | 0 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 74/100 |
| Last Updated | 2026-10-19 |
| Created | 2026-07-02 |
| Platforms | claude-code, cli, mcp, node |
| Est. Tokens | ~11k |
Google Search Console for Claude, Cursor & any MCP client — one sign-in, 30 seconds, no Google Cloud project. Read-only by construction.
Looking for a search-console-mcp alternative? If you're comparing search-console-mcp with other mcp server tools, these 5 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
MCP server for YouTube — search videos, get transcripts, channels, and playlists. Works with Claude, Cursor &
Governance gateway for AI agents — bounded, auditable, session-aware control with MCP proxy, shell proxy & HTT
List MCP Server configurations in your system used by AI applications like Cursor, Claude Desktop, VS Code and
Context engine for large codebases, exposed through MCP. Gives AI coding agents precise repository context; be
<Vibecoded> Track, analyze, and improve what LLMs are saying
Explore other popular mcp server tools:
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: