Research Methods Library

ClaudeCommunityby Mike Nguyen

The Research Methods Library is a Model Context Protocol server that grounds AI assistants in approximately 19,000 sections of methodological texts by Mike Nguyen: A Guide on Data Analysis and its Springer volumes; Advanced Data Analysis; causalverse, an R package for causal inference; Credit Scoring: Theory, Methods, and Practice; Marketing Research: A Technical and Academic Treatment; Social Science Theory: A Field Guide to the Theories, Effects, and Frameworks Behind Research and Business; Applying Tidy Finance with Python to Vietnam, in English and Vietnamese; Machine Learning in Python; AI in Action; and peer-reviewed research articles. Given a research question, choose_method recommends candidate designs (difference-in-differences, synthetic control, regression discontinuity, instrumental variables, matching, double machine learning, and 56 others), stating when each applies, the identifying assumptions to verify, and the R and Python packages that implement it. search and fetch retrieve the underlying sections; get_code returns runnable R, Python, or Julia code; cite formats references in APA, Chicago, MLA, Harvard, BibTeX, or RIS for the sections consulted. Every result links to the specific section and carries the citation of the work from which it is drawn. All tools are read-only, no account or API key is required, and the service stores no information about its users.