MCP server

Moltline Educator Toolkit

com.moltlinestudio/educator

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

8 curriculum, classroom, accommodations and exam-prep skill products. 5 of 7 free.

Website Source

At a glance

Type

MCP server

Publisher

moltlinestudio.com (verified by the MCP Registry)

Status

Working at last check

Tools

7

Token cost

About 2,450 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http educator https://mcp.moltlinestudio.com/educator

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.educator]
url = "https://mcp.moltlinestudio.com/educator"

Gemini CLI

{"mcpServers":{"educator":{"httpUrl":"https://mcp.moltlinestudio.com/educator"}}}

Cursor

{"mcpServers":{"educator":{"url":"https://mcp.moltlinestudio.com/educator"}}}

VS Code

{"servers":{"educator":{"type":"http","url":"https://mcp.moltlinestudio.com/educator"}}}

Antigravity

agy mcp add educator https://mcp.moltlinestudio.com/educator

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"educator","server_url":"https://mcp.moltlinestudio.com/educator","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"educator","server_url":"https://mcp.moltlinestudio.com/educator"}

Tools

• get_free_skill ~332 tokens
  Load a product's free gateway skill with its complete instructions. FREE. Typical input {"slug": "curriculum-architect-hs"} returns {"slug": ..., "skill": "<skill name>", "instructions": "<full skill text>"}. Returns exactly one skill - the product's free gateway skill - chosen automatically from
• get_full_product ~322 tokens
  Load one product in full: its persona plus every paid skill. PREMIUM (license). Typical input {"slug": "curriculum-architect-hs"} returns {"slug": ..., "name": ..., "persona": "<persona text>", "skills": [{"name": ..., "instructions": ...}, ...], "free_skill": {...}}. Returns persona plus every sk
• get_full_skill ~368 tokens
  Load one paid skill's complete instructions from a product. PREMIUM (license). Typical input {"slug": "curriculum-architect-hs", "skill_name": "unit-planner"} returns {"slug": ..., "skill": ..., "instructions": "<full skill text>"}. Returns one named skill, selected by skill_name. Use when the cal
• grade_curve ~362 tokens
  Summarize how an assessment landed: stats, bands, and outliers. FREE. Reports mean, median, std dev, quartiles, distribution by percentage band, and flagged low outliers. Typical input {"scores": [88, 92, 75, 61, 84], "max_score": 100} returns {"n": 5, "mean": 80.0, "median": 84.0, "std_dev": ...,
• lesson_timer ~382 tokens
  Split a class period into timed segments with sensible weighting. FREE. The opener and closer get less time; core activities get more. Typical input {"minutes": 50, "segments": ["Warm-up", "Direct instruction", "Practice", "Exit ticket"]} returns {"period_minutes": 50, "plan": [{"segment": "Warm-up
• list_products ~302 tokens
  List the 8 educator products with their included skills. FREE. Takes no arguments. Typical input {} returns a list of 8 product objects, each {"slug": "curriculum-architect-hs", "name": ..., "tagline": ..., "skills": ["Skill A", ...], "free_skill": "Gateway Skill Name"}. Use the returned slug value
• readability_report ~382 tokens
  Analyze teaching text with Flesch-Kincaid readability and leveling advice. FREE. Typical input {"text": "<passage>", "target_grade": 6} returns {"flesch_kincaid_grade": 8.2, "reading_ease": 62.1, "sentences": N, "words": N, "avg_words_per_sentence": N, "long_sentences_over_25w": N, "polysyllabic_wo

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