io.github.mrkeyoor/should-i-use

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

Endpointhttps://mrkeyoor.com/mcp (streamable-http)
Registry version0.3.2
Now6 tools · grade A (98) · pin ts_8dde7b279e850e3c85072ee80a4daa6b · protocol 2025-06-18
First / last listed2026-10-27 08:18 UTC / 2026-10-27 08:18 UTC
Grade over time2026-10-27: A (98), 6 tools

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Timeline

First listing · 2026-10-27 08:18 UTC
6 tools, grade A (98)

Tools: pick_library should_i_use alternatives how_do_i audit_dependencies docs_link

Current tools (6)

pick_libraryGiven 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.
params: task*, ecosystem
should_i_useHonest verdict on a specific library: 4-axis scores with reasons, when to skip it, and maintenance signals (last push, weekly downloads).
params: library*
alternativesCurated alternatives to a library, each with a one-line "prefer it when" and a verdict if the alternative is also indexed.
params: library*
how_do_iReturn 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.
params: library*, task*
audit_dependenciesAudit 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.
params: manifest*, ecosystem
docs_linkOfficial docs URL and GitHub repo for a library, one line each. Use when the clamped answers are not enough.
params: library*, topic

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