should-i-use
Honest library picks for coding agents in 25-360 tokens. Tells your agent what NOT to install.
使うべきか
品質と安全性
検出事項（3）
- LOWTool 'alternatives' description lacks action verbalternatives 内
- LOWTool 'how_do_i' description lacks action verbhow_do_i 内
- LOWTool 'docs_link' description lacks action verbdocs_link 内
ツール定義とプロトコルへの準拠に関する自動分析に基づいています。
コンテキストコスト
これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。
インストール
ワンクリックインストール
これを `claude_desktop_config.json` ファイルに追加してください:
{
"mcpServers": {
"should-i-use": {
"command": "npx",
"args": [
"should-i-use-mcp"
]
}
}
}実行可能なパッケージ
0.3.2stdioリモートエンドポイント
https://mrkeyoor.com/mcpstreamable-httpできること
ツール一覧
ツール（6）
🟢pick_library(task, ecosystem)
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.
入力スキーマ
{
"type": "object",
"properties": {
"task": {
"type": "string",
"description": "What you are trying to do, e.g. \"parse CSV files in node\""
},
"ecosystem": {
"type": "string",
"enum": [
"npm",
"pypi"
],
"description": "Optional registry filter"
}
},
"required": [
"task"
]
}出力スキーマ
{
"type": "object",
"properties": {
"answer": {
"type": "string",
"description": "The clamped text answer (hard limit ~500 tokens)"
}
},
"required": [
"answer"
]
}🟢should_i_use(library)
Honest verdict on a specific library: 4-axis scores with reasons, when to skip it, and maintenance signals (last push, weekly downloads).
入力スキーマ
{
"type": "object",
"properties": {
"library": {
"type": "string",
"description": "Library name as published on npm or PyPI"
}
},
"required": [
"library"
]
}出力スキーマ
{
"type": "object",
"properties": {
"answer": {
"type": "string",
"description": "The clamped text answer (hard limit ~500 tokens)"
}
},
"required": [
"answer"
]
}🟢alternatives(library)
Curated alternatives to a library, each with a one-line "prefer it when" and a verdict if the alternative is also indexed.
入力スキーマ
{
"type": "object",
"properties": {
"library": {
"type": "string",
"description": "Library name as published on npm or PyPI"
}
},
"required": [
"library"
]
}出力スキーマ
{
"type": "object",
"properties": {
"answer": {
"type": "string",
"description": "The clamped text answer (hard limit ~500 tokens)"
}
},
"required": [
"answer"
]
}🟢how_do_i(library, task)
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.
入力スキーマ
{
"type": "object",
"properties": {
"library": {
"type": "string",
"description": "Library name as published on npm or PyPI"
},
"task": {
"type": "string",
"description": "What you want to do, e.g. \"retry a failed request\""
}
},
"required": [
"library",
"task"
]
}出力スキーマ
{
"type": "object",
"properties": {
"answer": {
"type": "string",
"description": "The clamped text answer (hard limit ~500 tokens)"
}
},
"required": [
"answer"
]
}🟢audit_dependencies(manifest, ecosystem)
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.
入力スキーマ
{
"type": "object",
"properties": {
"manifest": {
"type": "string",
"description": "Contents of package.json, requirements.txt, pyproject.toml, or a newline-separated list of package names"
},
"ecosystem": {
"type": "string",
"enum": [
"npm",
"pypi"
],
"description": "Optional hint when the manifest format is ambiguous"
}
},
"required": [
"manifest"
]
}出力スキーマ
{
"type": "object",
"properties": {
"answer": {
"type": "string",
"description": "The clamped text answer (hard limit ~500 tokens)"
}
},
"required": [
"answer"
]
}🟢docs_link(library, topic)
Official docs URL and GitHub repo for a library, one line each. Use when the clamped answers are not enough.
入力スキーマ
{
"type": "object",
"properties": {
"library": {
"type": "string",
"description": "Library name as published on npm or PyPI"
},
"topic": {
"type": "string",
"description": "Optional topic to look up in the docs"
}
},
"required": [
"library"
]
}出力スキーマ
{
"type": "object",
"properties": {
"answer": {
"type": "string",
"description": "The clamped text answer (hard limit ~500 tokens)"
}
},
"required": [
"answer"
]
}コミュニティ
エビデンス