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School Ratings

by lulz botUpdated May 4, 2026

Retrieves school ratings, performance metrics, and reviews via MCP tools. Queries data by school name, location, district, or ID. Developers, researchers, and edtech analysts use it for apps, reports, and educational insights.

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Overview

The @lulzasaur9192/mcp-school-ratings MCP server provides programmatic access to school ratings data, including performance scores, rankings, and reviews from public sources. It enables AI models to fetch and analyze educational metrics without manual lookups.

Key Capabilities

  • get_school_rating: Returns detailed ratings, test scores, graduation rates, and teacher quality metrics for a specific school identified by name or ID.
  • search_schools: Queries schools by zip code, city, state, or rating filters, listing top matches with summary stats.
  • get_district_ratings: Aggregates performance data across schools in a district, including average scores and trends.

Use Cases

  1. Edtech app developers use search_schools and get_school_rating to build school comparison tools for parents selecting districts.
  2. Researchers query get_district_ratings to analyze regional education trends in datasets or reports.
  3. AI assistants invoke get_school_rating to answer user questions on school quality during college prep consultations.
  4. Data pipelines integrate search_schools to populate dashboards tracking school performance over time.

Who This Is For

Edtech developers integrating school data into apps, educational researchers compiling performance analyses, data analysts in policy or consulting, and AI builders creating education-focused tools.