MCP server
Research Methods Library
By mikenguyen13
Research methods for AI assistants: study design guidance, R and Python code, and citations
Listed on
- Official MCP Registry
- Glamavia MCP Toplist
First seen 15 Oct 2026. One server, whatever directories list it: each directory listing keeps its own page and history.
2
Directories
1 via MCP Toplist
6
Tools
From an anonymous probe
-
ToolBench grade
Not graded by Arcade
0
GitHub stars
From MCP Toplist
Tools
| Tool | Description | Behaviour |
|---|---|---|
| choose_method | Recommend statistical, econometric, causal inference, or machine learning methods for a research question. Describe the question, the data (cross-section, panel, time series, experiment), how the treatment or exposure was assigned, and the outcome. Returns candidate methods with when to use each, key assumptions, R and Python packages, and the library sections that teach them. | Read-only |
| cite | Format references for works in the library in APA, Chicago, MLA, Harvard, BibTeX, or RIS. Pass the ids of the sections you used to get a deduplicated reference list plus the section links, or pass source ids to cite whole works. With no ids, returns a reference for every work in the library. | Read-only |
| fetch | Read one section of the library by its section id. Returns the section in Markdown with its code, the section URL, and the citation of the work it comes from. Long sections come in parts; the text names the id of the next part. | Read-only |
| get_code | Get runnable code from the library for a statistical, econometric, causal inference, or machine learning task, in R, Python, or Julia. Returns code blocks with the section they come from, the packages they use, a link, and a citation. | Read-only |
| list_sources | List the books and packages in the library with their topics, code languages, licenses, links, and how to cite each one. | Read-only |
| search | Search sections of textbooks and an R package on research methods: causal inference (difference-in-differences, synthetic control, regression discontinuity, instrumental variables, matching, double machine learning), econometrics, experimental design, regression, marketing research, credit scoring, machine learning, and AI. Returns matching sections with their ids, a link, a snippet, the code languages they contain, and a citation. | Read-only |
| Directory | Listing | Tier | First seen |
|---|---|---|---|
| Official MCP Registry | Research Methods Library | - | 15 Oct 2026 |
| Glama | Listed there according to MCP Toplist’s dataset; not collected by InvokeRank. | ||