Research Methods Library
REMOTE · RESEARCH-METHODS-MCP.VERCEL.APP
Research methods for AI assistants: study design guidance, R and Python code, and citations
Available components
Last scanned (35 minutes ago)
Scores higher than 91% of remote servers
Reachable. Last reached 5 Nov 2026.
Category Education and Research
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security80
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- The HSTS (Strict-Transport-Security) header is present. View diagnostics → Pass
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability84
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 1669 tokens (~92/item across 18 items; 6 tools + 12 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management67
- Stability observed for 20 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 6 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 8 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (2026-07-28).Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 5 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 63 to 67. That category is still filling its 30-day observation window: 19 days of observed history at the previous scan, 20 at this one. The score rises as the window fills, whether or not the server changes.
- 3 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 57 to 60. That category is still filling its 30-day observation window: 17 days of observed history at the previous scan, 18 at this one. The score rises as the window fills, whether or not the server changes.
- 1 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 50 to 53. That category is still filling its 30-day observation window: 15 days of observed history at the previous scan, 16 at this one. The score rises as the window fills, whether or not the server changes.
- 30 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 43 to 47. That category is still filling its 30-day observation window: 13 days of observed history at the previous scan, 14 at this one. The score rises as the window fills, whether or not the server changes.
- 28 Oct 26 +1
- New resource “toc-social_theory” functional
- “cite” reworded the description of “ids” cosmetic
- “get_code” reworded the description of “source” cosmetic
- “search” reworded the description of “source” cosmetic
- 26 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 30 to 33. That category is still filling its 30-day observation window: 9 days of observed history at the previous scan, 10 at this one. The score rises as the window fills, whether or not the server changes.
- 24 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.
- 21 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Probed https://research-methods-mcp.vercel.app/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=*.vercel.app | CN=WR1,O=Google Trust Services,C=US | 31 Oct 2026 | 29 Jan 2027 | RSA 2048 | SHA256-RSA | 9c5f0e6a35c955e113044c86848e4cd5 |
| SANs: *.vercel.app | ||||||
| CN=WR1,O=Google Trust Services,C=US (CA) | CN=GTS Root R1,O=Google Trust Services LLC,C=US | 13 Dec 2023 | 20 Feb 2029 | RSA 2048 | SHA256-RSA | 7fd9e2c2d2048a0474b627a26d0868a7 |
| CN=GTS Root R1,O=Google Trust Services LLC,C=US (CA) | CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE | 19 Jun 2020 | 28 Jan 2028 | RSA 4096 | SHA256-RSA | 77bd0d6cdb36f91aea210fc4f058d30d |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of research-methods-mcp.vercel.app. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| app. | present | 23684 | 8 | Verified |
| vercel.app. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
| Header | Value |
|---|---|
| strict-transport-security | max-age=63072000; includeSubDomains; preload |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://research-methods-mcp.vercel.app/mcp | Verified | 200 | |
| http (plaintext) | http://research-methods-mcp.vercel.app/mcp | HTTPS enforced | 308 | https://research-methods-mcp.vercel.app/mcp |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
choose_method Recommend analysis methods ~209
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.
| Name | Type | Req | Description |
|---|---|---|---|
| language | string | – | Only list packages for this language. |
| limit | integer | – | Number of methods (default 3). |
| question | string | yes | The research question and setting, e.g. "effect of a minimum wage increase that some states adopted in different years on teen employment". |
No output schema declared.
No examples provided.
cite Format references ~142
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.
| Name | Type | Req | Description |
|---|---|---|---|
| ids | array | – | 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, social_theory, publications. |
| style | string | – | Citation style (default apa). |
No output schema declared.
No examples provided.
fetch Read a library section ~80
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.
| Name | Type | Req | Description |
|---|---|---|---|
| id | string | yes | Section id, e.g. "data_analysis:sec-regression-discontinuity". |
No output schema declared.
No examples provided.
get_code Get runnable R, Python, or Julia code ~340
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.
| Name | Type | Req | Description |
|---|---|---|---|
| language | string | – | Programming language of the code: r, python, or julia. |
| limit | integer | – | Number of sections to return code from (default 4). |
| source | string | – | 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); marketin… |
| topic | string | yes | The task, e.g. "Callaway and Sant'Anna group-time ATT", "rdrobust bandwidth", "WoE binning scorecard". |
No output schema declared.
No examples provided.
list_sources List the works in the library ~72
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.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
search Search the research methods library ~323
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.
| Name | Type | Req | Description |
|---|---|---|---|
| language | string | – | Prefer sections with code in this language. |
| limit | integer | – | Number of results (default 8). |
| query | string | yes | What to look for, in plain words, e.g. "staggered difference-in-differences with never-treated controls". |
| source | string | – | 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); marketin… |
No output schema declared.
No examples provided.
How do I install the Research Methods Library MCP server?
Research Methods Library is a hosted endpoint at https://research-methods-mcp.vercel.app/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · research-methods-mcp.vercel.app
claude mcp add --transport http mikenguyen13-research-methods-mcp 'https://research-methods-mcp.vercel.app/mcp'
What is the Research Methods Library MCP server?
Research Methods Library is an MCP server listed in the public MCP registry as io.github.mikenguyen13/research-methods-mcp. Research methods for AI assistants: study design guidance, R and Python code, and citations. This page covers its hosted endpoint (https://research-methods-mcp.vercel.app/mcp).
Is the Research Methods Library MCP server safe to use?
Research Methods Library scores 85 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Research Methods Library MCP server expose?
Research Methods Library exposes 6 tools: search, fetch, choose_method, get_code, cite, list_sources. Their descriptions and schemas cost roughly 1,166 tokens of context every time the server is loaded.
Does the Research Methods Library MCP server require authentication?
No. We connected to Research Methods Library without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the Research Methods Library MCP server still maintained?
Research Methods Library is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.