Content Performance Scorer
The Content Performance Scorer MCP evaluates text content with deterministic scores for readability, CTA presence, SEO alignment, variant ranking, and CSV batch processing. Marketers and SEO analysts use it to compare article drafts, rank A/B test variants, or audit bulk content lists for optimization decisions.
Overview
The Content Performance Scorer MCP server delivers programmatic, deterministic evaluation of text content across key performance metrics: readability, call-to-action (CTA) effectiveness, SEO alignment, variant comparison, and batch processing via CSV. It outputs numerical scores for objective analysis without manual review.
Key Capabilities
- readability_scoring: Calculates metrics like Flesch-Kincaid or Gunning Fog on text inputs for accessibility assessment.
- cta_scoring: Detects and scores CTA elements based on placement, clarity, and prominence in content.
- seo_alignment: Checks keyword usage, heading structure, length, and other factors against SEO guidelines.
- variant_ranking: Compares multiple text versions using composite scores to determine top performers.
- csv_batch_scoring: Processes CSV files containing content texts or URLs, returning scored results in bulk.
Use Cases
- A/B Testing Landing Pages: Submit variants to variant_ranking to identify the highest-scoring copy for readability and CTA strength.
- Content Audit Pipeline: Feed a CSV of blog posts into csv_batch_scoring to flag low SEO alignment items for revision.
- Email Campaign Optimization: Score newsletter drafts with cta_scoring and readability_scoring before sending.
- Ad Copy Iteration: Rank paid search ad variants using combined metrics to select deployable versions.
Who This Is For
SEO specialists auditing site content, content marketers running variant tests, copywriters needing score-based feedback, and digital agencies processing client content batches.