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SEO Performance MCP

SEO Performance MCP

by AutomateLab-tech
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TypeScript
Remote

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One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A3.9/5.0

Scored across 9 tools

Disambiguation4/5

Each tool targets a distinct stage of the pipeline (discover, snapshot, analyze, verdict, brief, cohort, citation-loss, two platform-specific quick-win scans). posts_snapshot and posts_decay_curve both draw on GSC data but are clearly differentiated by purpose (raw multi-source snapshot vs. weekly trend classification), so only minor overlap remains.

Naming Consistency4/5

Most tools follow a consistent domain_action pattern (posts_list, posts_snapshot, posts_verdict, gsc_quick_wins, bing_quick_wins). cohort_report and the quick_wins names break the verb-style slightly, but all remain readable and predictable.

Tool Count5/5

Nine tools map cleanly onto a coherent SEO-analysis workflow, each earning its place without redundancy. This is squarely in the well-scoped 3-15 range.

Completeness4/5

The surface covers discovery, multi-source snapshots, decay analysis, verdict, human briefs, cohort ranking, citation loss, and GSC/Bing quick wins - a full read-side lifecycle. Gaps like historical time-series comparison or competitor benchmarking are minor and workable around.

Maintenance

ActivityMaintained
ResponsivenessNo recent community issues

Resources