Moltline Research Desk
7 research navigation, thesis, note-taking and citation skill products. 6 of 8 free.
| Endpoint | https://mcp.moltlinestudio.com/research (streamable-http) |
|---|---|
| Registry version | 1.2.0 |
| Now | 8 tools · grade C (74) · pin ts_47551add9e4dd4159defe79eddd3a841 · protocol 2025-06-18 |
| First / last listed | 2026-10-26 03:01 UTC / 2026-10-26 03:01 UTC |
| Grade over time | 2026-10-26: C (74), 8 tools |
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Tools: list_products get_free_skill format_citation get_full_product get_full_skill stats_describe sample_size confidence_interval
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-advisor", "name": ..., "tagline": ..., "skills": ["Skill A",
...], "free_skill": "Gateway Skill Name"}. Use the returned slug values
with get_free_skill, get_full_product, or get_full_skill.
Returns metadata only - no persona text and no skil params: none |
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>", "instructions": "<full skill text>"}.
Returns exactly one skill - the product's free gateway skill - chosen
automatically from the slug, with no plan required. Use when the caller
wants usable instructions immediately. Not for the produ params: slug* |
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": "Radium and radioactivity", "container": "Century
Magazine"} returns {"style": "apa", "citation": "Curie, M. (1911).
Radium and radioactivity. Century Magazine.", "note": "..."}.
Use when the source details are already known and only the format params: style*, authors*, year*, title*, container, publisher, url, accessed |
get_full_product | Load one product in full: its persona plus every paid skill. PREMIUM (license).
Typical input {"slug": "thesis-advisor"} returns {"slug": ..., "name":
..., "persona": "<persona text>", "skills": [{"name": ...,
"instructions": ...}, ...], "free_skill": {...}}.
Returns persona plus every skill for one product. Use when the caller
wants the whole product. Not for a single skill (get_full_skill) and params: slug* |
get_full_skill | Load one paid skill's complete instructions from a product. PREMIUM (license).
Typical input {"slug": "thesis-advisor", "skill_name": "Outline
Builder"} returns {"slug": ..., "skill": ..., "instructions": "<full
skill text>"}.
Returns one named skill, selected by skill_name. Use when the caller wants
one specific paid skill. Not for the free gateway skill, which
get_free_skill returns with no pl params: slug*, skill_name* |
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, "median": 14.0, "std_dev": ..., "min": 12, "max": 90,
"q1": ..., "q3": ..., "iqr_outliers": [90], "skew": "right (mean >
median)"}.
Use as a first summary of one numeric dataset. Not for interval estimates
(confidence_interval) and not for plan params: numbers* |
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
population is given. Typical input {"population": 5000,
"confidence_pct": 95, "margin_pct": 5} returns {"required_sample": 357,
"assumptions": "p=0.5 (max variance), random sampling"}.
Use before collecting data, to size a survey. Not for analyzi params: population, confidence_pct, margin_pct |
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 {"mean": 72.4, "margin_of_error":
1.9845, "interval": [70.4155, 74.3845], "note": "..."}.
Use on data already collected, for a mean. Normal approximation, so it is
unreliable on very small or heavily skewed samples. Not for proportions or
two- params: mean*, std_dev*, n*, confidence_pct |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.