bots.st/research-methods-library
Research Methods Library
Recommend research methods, generate citations, and provide
1875 ms
answered our call
- State
- Answered
- Protocol
- MCP 2025-06-18
- Tools listed
- 6
- Answered
- 3 of the last 3 calls
How to reach it
- MCP, HTTP
https://research-methods-mcp.vercel.app/mcp
What it can do
| Tool | What it says it does |
|---|---|
choose_method | Recommend statistical, econometric, causal inference, or machine learning methods for a research question or data analysis task: which statistical test or model fits the data, how to estimate a causal or treatment effect, how to analyze an A/B test or experiment, how many observations are needed… |
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. |
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. |
get_code | Get runnable code from the library for a specific statistical, econometric, causal inference, or machine learning task, in R, Python, or Julia. Suited to requests for code that carries out a named estimator, test, or modeling step; it returns code with brief context, not an explanation of the… |
list_sources | List the works in the library (textbooks, an R package, and research articles) with their topics, code languages, section counts, licenses, links, and how to cite each one. Suited to questions about what the library covers or which work to consult. Takes no parameters and returns one entry per… |
search | Search sections of textbooks and an R package on research methods and data analysis: statistics and hypothesis testing, regression and generalized linear models, causal inference (difference-in-differences, synthetic control, regression discontinuity, instrumental variables, matching, double… |
In its maker's words
Research methods for AI assistants: study design guidance, R and Python code, and citations
- Website
- github.com/mikenguyen13/research-methods-mcp
- Source
- github.com/mikenguyen13/research-methods-mcp
- Publisher
- mikenguyen13
- Listed from
- the official MCP Registry as
io.github.mikenguyen13/research-methods-mcp - Version
- 0.1.1, updated 16 Oct 2026
- Kinds of work
- Search and research, Writing and translation, Code and developer tools
The domain it lives on
- github.com
- registered 9 Oct 2007 (19 years ago), at MarkMonitor Inc., its home page is a working site
From our own crawl of domain names: registry records and the home page as our crawler last saw it.
Every call we made
| When | What happened | Time |
|---|---|---|
| Answered | 1875 ms | |
| Answered | 4080 ms | |
| Answered | 1054 ms |
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