Should I Use

io.github.mrkeyoorPublished by GitHub account mrkeyoorv0.3.2Updated Oct 24, 2026

Honest library picks for coding agents in 25-360 tokens. Tells your agent what NOT to install.

VerifiedStreamable HTTPWeb executableKnowledge & MemoryDeveloper Tools

Overview

AI-generated overview

Gives coding agents short, opinionated library recommendations, verdicts, alternatives, snippets and dependency audits from a curated index.

What you can do
  • Recommend 1-3 libraries for a coding task, with reasoning and a skip warning
  • Give a verdict on a named library: 4-axis scores, when to skip it, maintenance signals
  • List curated alternatives with "prefer it when" notes
  • Return the best code snippets for a task plus their gotchas
  • Audit package.json, requirements.txt or pyproject.toml contents for unmaintained or unstable dependencies
  • Return official docs and repo links for a library
When to use it
Useful when an assistant is choosing a library before installing it, or working in an unfamiliar codebase whose dependencies need a quick sanity check. Answers are deliberately short, so it suits agents with tight context budgets.
Requirements
Node 20+ for the local npm package (npx should-i-use-mcp); no API key, database or runtime network access. A hosted streamable-HTTP endpoint is also offered. Optionally set SHOULD_I_USE_DATA to point at your own snapshot file.
Before you install
The installer writes server entries into existing agent config files (backed up as .bak) and, with --with-policy, appends a dependency policy line to CLAUDE.md or AGENTS.md. Coverage is a curated subset, so a clean audit does not mean dependencies are safe, and verdicts are one person's opinion.

Installation

In SourceWeft

  1. Open Should I Use in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.mrkeyoor%2Fshould-i-use/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "should-i-use": {
      "type": "http",
      "url": "https://mrkeyoor.com/mcp"
    }
  }
}

README

should-i-use

The MCP that tells your agent what NOT to install.

Most library docs MCP servers dump thousands of tokens of documentation into your context and let the model sort it out. This one answers the actual question: which library to pick, which to skip, and how to do the thing. Typical answers run 25 to 360 tokens. Every response is hard-clamped at 500.

992 libraries indexed. Last updated: 2026-08-16.

The index grows daily. Data comes from a curated set of npm and PyPI libraries with honest guides written to a fixed rubric and grounded in each library's own docs: what a library is actually like to set up, when you should not use it, verified alternatives, 4-axis scorecards, and version-correct code snippets. If a library is not indexed, the tools say so plainly instead of guessing.

If you want a Context7 alternative that treats context as a budget rather than a bucket, this is it.

Quickstart

No API key, no database. The index ships inside the package.

npx should-i-use-mcp install

That writes the server entry into whichever agent configs already exist on your machine: Claude Code, Claude Desktop, Cursor, Windsurf, Cline, VS Code, Zed, Codex, Gemini CLI. Each file it touches is backed up as .bak first. Restart your agent afterwards.

For a repo-local config instead of your home directory:

npx should-i-use-mcp install --project

That writes .mcp.json and .cursor/mcp.json in the current directory, so everyone who clones the repo gets the server.

Claude Code, one line

claude mcp add should-i-use -- npx -y should-i-use-mcp

By hand

If you would rather edit the JSON yourself, add this to your client's MCP config (~/.cursor/mcp.json for Cursor, ~/.codeium/windsurf/mcp_config.json for Windsurf, the Claude Desktop config on macOS or Windows, and so on):

json
{  "mcpServers": {    "should-i-use": {      "command": "npx",      "args": ["-y", "should-i-use-mcp"]    }  }}

Any other MCP client: command npx, args ["-y", "should-i-use-mcp"]. Running from a local checkout: command node, args ["/path/to/should-i-use/server.js"]. VS Code puts the same object under servers instead of mcpServers, and Zed under context_servers; the installer handles both.

Hosted endpoint (rolling out)

A hosted streamable-HTTP endpoint is rolling out at https://mrkeyoor.com/mcp. It serves the live index, so it can be a day fresher than the npm snapshot. The npx install above is the stable path today.

Tools

ToolExample callWhat you get back
pick_librarypick_library("parse CSV files in node")Top 1-3 picks with one-line reasoning, plus a skip warning for the winner
should_i_useshould_i_use("moment")Verdict, 4-axis scores with reasons, top skip-if items, last push and download signals
audit_dependenciesaudit_dependencies(<contents of package.json>)Only the dependencies worth a decision: unmaintained, unstable, or worth swapping
alternativesalternatives("axios")Curated alternatives with "prefer it when" lines and verdicts
how_do_ihow_do_i("got", "retry a failed request")The 1-2 best snippets for the task plus their gotchas, nothing else
docs_linkdocs_link("fastapi", "middleware")Docs URL and repo link, one line each

audit_dependencies

The pitch is "ask before you npm install". This is the tool for the codebase you did not write, where the installing already happened.

Pass it the contents of package.json, requirements.txt, pyproject.toml, or just a newline-separated list of names. It returns only the dependencies that need a human decision, sorted into REPLACE (unmaintained), WATCH (unstable API or thin maintenance), and WORTH RECONSIDERING (a documented reason to skip plus a named alternative). It stays quiet about the boring majority, and it says nothing at all about packages that are not in the index rather than inventing an opinion.

Real output, unedited:

REPLACE (1 unmaintained):- crypto-js: last push 2.0y ago, still 19.3M/wk. Nineteen million weekly  downloads of pure inertia behind a library whose own README tells you to  stop using it. Consider @noble/hashes or @noble/ciphers.
REPLACE (1 unmaintained):- python-jose: last push 4mo ago, still 10.6M/wk. It works, it is widely  deployed, and the API is pleasant, but a cryptography library with a  three-and-a-half-year release gap and a ten-month turnaround on two  critical advisories is not where new code should start. Consider pyjwt  or joserfc.

Both of those are popular packages in current use. Download count is not a maintenance signal, and that is the gap this tool is for.

A good first prompt after installing: "audit my dependencies".

Token budget, measured

  • Typical answer: 25 to 360 tokens, depending on the tool and how much the library page has to say.
  • Hard cap: 500 tokens per response, enforced in clamp.js. Long answers are cut at sentence boundaries with a pointer to docs_link.
  • The smoke test (npm run smoke) spawns the server, calls every tool against the bundled data, and fails if any response breaks the cap. The budget is a test, not a promise.

Measured against Context7 across 10 rounds of 20 queries on libraries sampled at random from this index, tokens estimated as chars/4. Ours is one how_do_i call; theirs is the two calls an agent actually makes, resolve-library-id plus the docs call at its default budget. Query text was authored from each library's description only, never from our stored answers.

Median tokens per answer
should-i-use238
Context71154
Ratio4.8x (round range 3.9x-6.2x)

Of 200 rows, 199 were answered by both servers; Context7 had no usable entry for 1 library, this index for 0.

Every number there is a measured MCP response, not a vendor claim. See the limitations below for what that ratio does and does not prove.

How the data is made

Every entry is a guide written to a fixed rubric, grounded in the library's own docs and validator-gated, backed by registry and repo signals — not scraped docs:

  • Guides and verdicts: what the library is, when to use it, when to skip it, published at mrkeyoor.com/libs by Keyoor.
  • Scores: 4 axes (API stability, docs quality, maintenance, ecosystem), 1-5 each, with a one-line reason per score.
  • Signals: last push, weekly downloads, and stars refreshed daily from the registries and GitHub.
  • Snippets: checked against the indexed version, each with its gotcha.

The bundled snapshot (data/libraries.json) is exported daily from that index. Honest means the index will tell you to skip the popular option when the maintenance signals say so. No library has paid to be listed or to change a score.

Set SHOULD_I_USE_DATA=/path/to/libraries.json to point the server at your own snapshot (same shape: a JSON array of library docs).

Requirements

  • Node 20+
  • Nothing else. No database, no network access at runtime.

Limitations

Worth knowing before you rely on it:

  • Coverage is curated, not complete. A few hundred libraries, not every package on npm and PyPI. audit_dependencies therefore stays quiet on anything unindexed, and a clean audit means "nothing flagged in what I know", not "your dependencies are fine".
  • The tools are advisory unless you add the policy line. An agent calls MCP tools when it decides to, so on its own this is a strong suggestion, not an interceptor: nothing forces every npm install through a check. To make the check near-automatic, run npx should-i-use-mcp install --with-policy inside a project: it appends a one-line dependency policy to your CLAUDE.md/AGENTS.md (creating AGENTS.md if neither exists), and agents that read project rules will then consult the index before adding any dependency.
  • Guides are research, not test drives. Each guide is grounded in the library's documentation, release notes, changelog, and issue history on a fixed rubric, not a hands-on install of every release. The 50 most-downloaded entries are additionally install-verified in clean containers (latest run: 49/50 clean; the one timeout was sglang's CUDA wheel tree, which its own guide warns about).
  • Guides are point-in-time. Signals refresh daily and guides are reviewed on a pipeline, so a library that shipped a big release or found a new maintainer this week can be ahead of what the guide says. Check docs_link when the answer looks stale.
  • pick_library ranks on keywords, not embeddings. Plain phrasing works well; unusual or metaphorical phrasing can miss entirely. If nothing matches, it says so instead of returning a shrug, but you may need to reword.
  • The benchmark is indicative, not definitive. 10 rounds of 20 queries on randomly sampled libraries, measured across two days. The 4.8x ratio is a real measurement with a 3.9x-6.2x round range, not a general law. The method and every row are in bench/; rerun it yourself if the number matters to you.
  • Verdicts are opinions. Informed, sourced, and argued, but still one person's judgment call. Disagreeing with one is a valid bug report.

Contributing

  • Missing library or wrong verdict? Open an issue. Challenges to verdicts are how the index gets better.
  • Code changes: PRs welcome for the server (server.js, tools.js, clamp.js, data.js, install.js). Keep responses inside the 500 token cap; npm run smoke enforces it.
  • Data changes: data/libraries.json is generated, so edits to it get overwritten by the next export. File an issue instead and the fix lands upstream.

License

Source: README.md at commit aa3c0f1

Tools

6

pick_library

Pick a library

Given a coding task, recommend 1-3 libraries from the should-i-use index with one-line reasoning and an honest warning about the top pick. Use before installing anything.

Parameterstaskrequiredecosystem

should_i_use

Should I use this library?

Honest verdict on a specific library: 4-axis scores with reasons, when to skip it, and maintenance signals (last push, weekly downloads).

Parameterslibraryrequired

alternatives

Library alternatives

Curated alternatives to a library, each with a one-line "prefer it when" and a verdict if the alternative is also indexed.

Parameterslibraryrequired

how_do_i

How do I do this?

Return the 1-2 best code snippets for a task with a library, plus the gotcha for each. Snippets are correct for the indexed version. Far cheaper in tokens than a docs dump.

Parameterstaskrequiredlibraryrequired

audit_dependencies

Audit dependencies

Audit a project's dependencies for unmaintained packages, unstable APIs, and documented reasons to switch. Pass the contents of package.json, requirements.txt, or pyproject.toml. Returns only the dependencies worth a decision, not a report on every line. Run this before working in an unfamiliar codebase.

Parametersmanifestrequiredecosystem

Version history

1
  1. v0.3.2LatestSep 16, 2026

Score

90% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

    Declare a license in the repository or the registry entry.