Seo Performance MCP Server
@automatelab/seo-performance-mcp
npm
v1.0.0
Published by @automatelab — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.
Post-publish SEO performance MCP. Unifies Google Search Console, Matomo, GA4, Clarity, and AI-citation signals per URL and emits a verdict (refresh / expand / merge / kill / double_down / hold) per post with reason codes.
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 1 = 99. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −1 | publisher verification (public source) — no provenance, but the source is public and inspectable |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Findings 0
Tools 9
Each tool and what it can reach — statically extracted from the published source.
bing_quick_winsno sensitive capabilitycohort_reportno sensitive capabilitygsc_quick_winsno sensitive capabilityposts_cite_lossno sensitive capabilityposts_decay_curveno sensitive capabilityposts_listno sensitive capabilityposts_refresh_briefno sensitive capabilityposts_snapshotno sensitive capabilityposts_verdictno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (9 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, scan the running server: --command "npx -y <package>".
Versions 1
Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v1.0.0 latest |
A 99/100 | 0 | 1.13.0 | 2026-09-07 |
Embed this score
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
Verify this score yourself
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
npx mcptrustchecker scan @automatelab/seo-performance-mcp --onlineMore in Content Management
Apify MCP Server
Model Context Protocol (MCP) Server for the *@inkeep/agents-mcp* API.
Medicare spending, chronic conditions, hospital quality, readmissions, and enrollment
Public read-only MCP for products, frameworks, guides, methodology, and blog metadata.
Community-maintained MCP server for Atlassian Confluence Data Center. Not affiliated with Atlassian.
MCP server for Contentful Content Management API integration