7 research and study persona products plus computed research mechanics over MCP: format_citation outputs APA 7 / MLA 9 / Chicago from raw fields, stats_describe computes full descriptive statistics, sample_size and confidence_interval handle survey math honestly, and get_free_skill loads any product's complete free gateway skill.
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confidence_intervalConfidence IntervalCompute 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": "..."}. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": ""} (for example {"error": "confidence 90/95/99, n>=2, std_dev>=0"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
| Name | Required | Description | Default |
|---|---|---|---|
| n | Yes | Sample size; at least 2. | |
| mean | Yes | Sample mean. | |
| std_dev | Yes | Sample standard deviation; 0 or greater. | |
| confidence_pct | No | Confidence level; must be 90, 95, or 99. Default 95. |
| Name | Required | Description |
|---|---|---|
No output parameters | ||
format_citationFormat CitationFormat 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": "..."}. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": ""} (for example {"error": "style must be apa, mla, or chicago"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
| Name | Required | Description | Default |
|---|---|---|---|
| url | No | Optional URL of the source. | |
| year | Yes | Publication year, e.g. 2024. | |
| style | Yes | Citation style: "apa", "mla", or "chicago" (case-insensitive). | |
| title | Yes | Title of the work being cited. | |
| authors | Yes | Authors as "Last, First" strings in source order, at least one, e.g. ["Curie, Marie"]. | |
| accessed | No | Optional access date for MLA web sources, e.g. "12 Aug. 2026". | |
| container | No | Optional journal, book, or site name. | |
| publisher | No | Optional publisher name. |
| Name | Required | Description |
|---|---|---|
No output parameters | ||
get_free_skillGet Free SkillLoad a product's free gateway skill with its complete instructions. FREE.
Typical input {"slug": "thesis-advisor"} returns {"slug": ..., "skill": "", "instructions": ""}. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": ""} (for example {"error": "unknown slug ''. Use list_products."}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | Product slug exactly as returned by list_products, e.g. "thesis-advisor". |
| Name | Required | Description |
|---|---|---|
No output parameters | ||
get_full_productGet Full ProductLoad one product in full: its persona plus every paid skill. PREMIUM (license).
Typical input {"slug": "thesis-advisor"} returns {"slug": ..., "name": ..., "persona": "", "skills": [{"name": ..., "instructions": ...}, ...], "free_skill": {...}}. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": ""} (for example {"error": "unknown slug ''"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | Product slug exactly as returned by list_products, e.g. "thesis-advisor". |
| Name | Required | Description |
|---|---|---|
No output parameters | ||
get_full_skillGet Full SkillLoad one paid skill's complete instructions from a product. PREMIUM (license).
Typical input {"slug": "thesis-advisor", "skill_name": "Outline Builder"} returns {"slug": ..., "skill": ..., "instructions": ""}. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": ""} (for example {"error": "unknown slug ''"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | Product slug exactly as returned by list_products. | |
| skill_name | Yes | Exact skill name as listed in that product's "skills" array from list_products. |
| Name | Required | Description |
|---|---|---|
No output parameters | ||
list_productsList ProductsList 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. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": ""}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
| Name | Required | Description |
|---|---|---|
| result | Yes |
sample_sizeSample SizeCalculate 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"}. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": ""} (for example {"error": "confidence_pct must be 90, 95, or 99"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
| Name | Required | Description | Default |
|---|---|---|---|
| margin_pct | No | Acceptable margin of error percentage; above 0 and at most 50. Default 5. | |
| population | No | Total population size; 0 (default) means unknown or very large. | |
| confidence_pct | No | Confidence level; must be 90, 95, or 99. Default 95. |
| Name | Required | Description |
|---|---|---|
No output parameters | ||
stats_describeStats DescribeDescribe 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)"}. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": ""} (for example {"error": "no numbers"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
| Name | Required | Description | Default |
|---|---|---|---|
| numbers | Yes | The dataset as a list of numbers; at least 1 value. |
| Name | Required | Description |
|---|---|---|
No output parameters | ||
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{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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