io.github.mikenguyen13/research-methods-mcp

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Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.

Les 6 outils

• choose_method≈ 381 tokens

  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 (power and sample size), how to handle panel, time-series, survey, text, or survival data, and how to build predictive or credit-scoring models. 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 each applies, key assumptions, R and Python packages, and the library sections that teach them.

  Paramètres, retour & exemple (3)

  Paramètres

  • limit · integer · optionnel
    Number of methods (default 3).
  • language · string · optionnel · r | python | julia
    Only list packages for this language.
  • question · string · requis
    The research question and setting, e.g. "effect of a minimum wage increase that some states adopted in different years on teen employment".

  Exemple d'appel

  {"name": "choose_method", "arguments": {"question": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• cite≈ 252 tokens

  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.

  Paramètres, retour & exemple (2)

  Paramètres

  • ids · array · optionnel
    Section ids, or source ids: data_analysis, causalverse, credit_score, marketing_research, ai_in_action, advanced_data_analysis, tidy_finance_vn, tidy_finance_vn_vi, mlpy, publications.
  • style · string · optionnel · apa | chicago | mla | harvard | bibtex | ris
    Citation style (default apa).

  Exemple d'appel

  {"name": "cite", "arguments": {"ids": [], "style": "apa"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• fetch≈ 175 tokens

  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.

  Paramètres, retour & exemple (1)

  Paramètres

  • id · string · requis
    Section id, e.g. "data_analysis:sec-regression-discontinuity".

  Exemple d'appel

  {"name": "fetch", "arguments": {"id": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_code≈ 526 tokens

  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. Results can be restricted to one language or one work. Returns code blocks with the section they come from, the packages they use, a link, and a citation.

  Paramètres, retour & exemple (4)

  Paramètres

  • limit · integer · optionnel
    Number of sections to return code from (default 4).
  • topic · string · requis
    The task, e.g. "Callaway and Sant'Anna group-time ATT", "rdrobust bandwidth", "WoE binning scorecard".
  • source · string · optionnel · data_analysis | causalverse | credit_score | marketing_research | ai_in_action | advanced_data_analysis | tidy_finance_vn | tidy_finance_vn_vi
    Limit to one work: data_analysis (A Guide on Data Analysis); causalverse (causalverse: The All-in-One Causal Inference Toolkit); credit_score (Credit Scoring: Theory, Methods, and Practice); marketing_research (Marketing Research: A Technical and Academic Treatment); ai_in_action (AI in Action: A Reference for Artificial Intelligence); advanced_data_analysis (Advanced Data Analysis); tidy_finance_vn (Applying Tidy Finance with Python to Vietnam); tidy_finance_vn_vi (Tài Chính Ứng Dụng với Python); mlpy (Machine Learning in Python); publications (Research Articles and Publications).
  • language · string · optionnel · r | python | julia
    Programming language of the code: r, python, or julia.

  Exemple d'appel

  {"name": "get_code", "arguments": {"topic": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• list_sources≈ 163 tokens

  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.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "list_sources", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• search≈ 536 tokens

  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 learning), econometrics, experimental design, survey methods, 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.

  Paramètres, retour & exemple (4)

  Paramètres

  • limit · integer · optionnel
    Number of results (default 8).
  • query · string · requis
    What to look for, in plain words, e.g. "staggered difference-in-differences with never-treated controls".
  • source · string · optionnel · data_analysis | causalverse | credit_score | marketing_research | ai_in_action | advanced_data_analysis | tidy_finance_vn | tidy_finance_vn_vi
    Limit to one work: data_analysis (A Guide on Data Analysis); causalverse (causalverse: The All-in-One Causal Inference Toolkit); credit_score (Credit Scoring: Theory, Methods, and Practice); marketing_research (Marketing Research: A Technical and Academic Treatment); ai_in_action (AI in Action: A Reference for Artificial Intelligence); advanced_data_analysis (Advanced Data Analysis); tidy_finance_vn (Applying Tidy Finance with Python to Vietnam); tidy_finance_vn_vi (Tài Chính Ứng Dụng với Python); mlpy (Machine Learning in Python); publications (Research Articles and Publications).
  • language · string · optionnel · r | python | julia
    Prefer sections with code in this language.

  Exemple d'appel

  {"name": "search", "arguments": {"query": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

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Source

https://research-methods-mcp.vercel.app/mcp