com.moltlinestudio/research

up checked 2026-11-10T23:37:18.973Z

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Publisher-provided title

Moltline Research Desk

Publisher-provided description

7 research navigation, thesis, note-taking and citation skill products. 6 of 8 free.

Summary by lookupd

Provides research aids: statistics calculators, sample size estimates, citation formatting in APA, MLA and Chicago, and paid thesis and…

Install

Claude Code, remote (streamable-http)

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

Codex, remote (streamable-http)

codex mcp add research --url https://mcp.moltlinestudio.com/research

Cursor, remote (streamable-http) → .cursor/mcp.json

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

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Publisher-provided text

list_products List every product in the Research Desk line with its included skills. FREE. Takes no arguments. Returns a list of 7 product objects, each {"slug": "thesis-adv
get_free_skill Load a product's free gateway skill with its complete instructions. FREE. Typical input {"slug": "thesis-advisor"} returns {"slug": ..., "skill": "<skill name>
format_citation Format a citation in APA 7, MLA 9, or Chicago author-date style. FREE. Typical input {"style": "apa", "authors": ["Curie, Marie"], "year": 1911, "title": "Radi
get_full_product Load one product in full: its persona plus every paid skill. PREMIUM (license). Typical input {"slug": "thesis-advisor"} returns {"slug": ..., "name": ..., "pe
get_full_skill Load one paid skill's complete instructions from a product. PREMIUM (license). Typical input {"slug": "thesis-advisor", "skill_name": "Outline Builder"} return
stats_describe Describe a numeric dataset: center, spread, quartiles, and outliers. FREE. Typical input {"numbers": [12, 15, 14, 90, 13]} returns {"n": 5, "mean": 28.8, "medi
sample_size Calculate the survey sample size needed for a confidence level and margin. FREE. Uses maximum variance (p=0.5) with a finite-population correction when populat
confidence_interval Compute a confidence interval for a mean (normal approximation). FREE. Typical input {"mean": 72.4, "std_dev": 8.1, "n": 64, "confidence_pct": 95} returns {"me

Shows this live status and links here; updates hourly.

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