Introduction

lurq is a continuously-updated, evidence-scored index of JS/TS frameworks and libraries, exposed to AI coding assistants as an MCP server, a CLI, and an installable agent skill. It gives your agent fresh, objective dependency recommendations — including packages published after the model's training cutoff.

Think of lurq as a companion to your coding agent: lurq recommends and explains packages; your agent writes the code. It's tuned for token cost, speed, and retrieval quality.

Why it exists

Coding agents are good at writing code but bad at picking dependencies. They:

• recommend packages frozen at their training cutoff, missing anything newer;
• hallucinate package names that were never published;
• lean on whatever was popular when the model was trained, not what's healthy now.

lurq fixes this by maintaining a live index built only from public signals (npm, GitHub, deps.dev, bundlephobia). Scores are computed, never hand-written, and every response carries a dataAsOf timestamp so the agent knows how fresh the evidence is.

What you get

Once connected, your agent can call five MCP tools:

• recommend — best current packages for a need
• evaluate — full evidence read for one package
• compare — rank 2–5 packages by health
• verify — is a package real, healthy, and safe?
• diagram — a reference-architecture diagram for a stack

Scope

Ready to connect your agent? Head to the Quick start.