# NGSS Standards

> Use this tool when you need to access and implement Next Generation Science Standards (NGSS) for middle school education, solving problems of educational content discovery and lesson planning. It provides a comprehensive 3D framework filtering system, intelligent full-text search, and configurable response detail levels, taking in queries and standards requirements as inputs and outputting relevant educational content and lesson plans. Ideal for AI-assisted curriculum development, standards-aligned lesson planning, and educational content creation workflows.

Canonical page: https://skillsregistry.net/skills/sallvainian-ngss  
JSON: https://api.skillsregistry.net/v1/skills/sallvainian-ngss

## Description

An MCP server providing comprehensive access to Next Generation Science Standards (NGSS) for middle school, built by Sallvain with 8 specialized tools for educational content discovery and lesson planning. The implementation features a complete 3D framework filtering system (Science and Engineering Practices, Disciplinary Core Ideas, Crosscutting Concepts), intelligent full-text search with relevance scoring, configurable response detail levels for token optimization, and built-in caching with performance metrics. Built on a structured JSON database extracted from official NGSS PDFs with OCR error correction, it includes pagination support, input validation, and Smithery.ai deployment compatibility, making it useful for AI-assisted curriculum development, standards-aligned lesson planning, and educational content creation workflows.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sallvainian-ngss)
- **Repository:** <https://github.com/sallvainian/ngss-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sallvainian-ngss"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sallvainian-ngss` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sallvainian-ngss/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt