MCP server

Should I Use

io.github.mrkeyoor/should-i-use

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Website Source

At a glance

Type

MCP server

Publisher

mrkeyoor.com (verified by the MCP Registry)

Status

Working at last check

Tools

6

Token cost

About 763 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http should-i-use https://mrkeyoor.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.should-i-use]
url = "https://mrkeyoor.com/mcp"

Gemini CLI

{"mcpServers":{"should-i-use":{"httpUrl":"https://mrkeyoor.com/mcp"}}}

Cursor

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

VS Code

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

Antigravity

agy mcp add should-i-use https://mrkeyoor.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"should-i-use","server_url":"https://mrkeyoor.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"should-i-use","server_url":"https://mrkeyoor.com/mcp"}

Tools

• alternatives ~92 tokens
  Curated alternatives to a library, each with a one-line "prefer it when" and a verdict if the alternative is also indexed.
• audit_dependencies ~198 tokens
  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 code
• docs_link ~109 tokens
  Official docs URL and GitHub repo for a library, one line each. Use when the clamped answers are not enough.
• how_do_i ~133 tokens
  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.
• pick_library ~135 tokens
  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.
• should_i_use ~96 tokens
  Honest verdict on a specific library: 4-axis scores with reasons, when to skip it, and maintenance signals (last push, weekly downloads).

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