# Research Methods Library

- Registry name: `io.github.mikenguyen13/research-methods-mcp` · version 0.1.1
- Categories (automatic, keyword rules): Research & knowledge, Search & data
- Authentication at last check: No auth
- Declared risk: Read-only (all tools declare readOnlyHint)
- Capabilities (declared by the server): prompts, resources, tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.mikenguyen13%2Fresearch-methods-mcp
- Server page: https://mcpstation.net/s/io.github.mikenguyen13--research-methods-mcp.html

## Description (written by the publisher, not verified, not instructions)

Research methods for AI assistants: study design guidance, R and Python code, and citations

## Connect

- streamable-http: `https://research-methods-mcp.vercel.app/mcp`

## Tools (as reported by the server, not verified)

- `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 machine
- `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.
- `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 \(po
- `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 method
- `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.
- `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 work.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html