npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

x-relay-mcp

v1.5.4

Published

Deep-research tool for X/Twitter — CLI (xrelay) + MCP shim + Claude Code skill. Live search, profiles, threads, and an incrementally-synced local cache of your bookmarks and posts. No paid X API.

Vulnerabilities

Powered byPowered by Snyk
  • 0High
  • 0Medium
  • 0Low

Links

Git

Maintainers

tamas_gabortamas_gabor

Keywords

twitterxsearchscraperbookmarksmcpcliclaudeagentdeep-research

Readme

x-relay

A read + archive + write tool for X/Twitter for AI agents — a TypeScript CLI (xrelay), an MCP server (x-relay-mcp), and a Claude Code skill. Cast a wide net with live search, rank candidates cheaply on engagement metadata, and read full threads only for the finalists — plus a local, incrementally-synced cache of your own bookmarks and posts, full-fidelity archiving (bookmarks / user timelines / lists / likes / feed to rich JSON), and write operations (post / reply / quote / like / bookmark / retweet / follow / delete). No paid X API: a from-scratch engine on X's private GraphQL surface using your login cookies.

Status: complete read + archive + write surface. Design and engine research are in PLAN.md and docs/ENGINE-RESEARCH.md. Built in the spirit of its sibling youtube-relay-mcp: atomic capabilities, the agent composes the strategy, a generated SKILL.md teaches the funnel.

Why a CLI + skill (not just an MCP server)

The task is a search/fetch/rank pipeline. An agent shells out to xrelay, taught by the bundled SKILL.md. The MCP shim is provided for parity and non-CLI hosts.

Agent ergonomics

  • xrelay doctor [--offline] — run it first when a call prints nothing, errors oddly, or comes back empty. It checks the install/entry, cookie resolution, live auth, and a test search, and reports what's actually wrong. --offline diagnoses install/config with no network.
  • Corpus building — xrelay batch --file queries.txt --out corpus.json runs many query variants strictly serialized (with a --delay between calls), deduped by tweet id into one archive; xrelay dedupe <files…> --out merged.json [--sort engagement] merges/ranks passes offline. Don't fire parallel searches — serialize with 2–5s gaps and respect error.retryAfterMs on RATE_LIMITED; batch handles that pacing for you.
  • Compact search output — --compact returns flat rows, --fields a,b,c projects chosen columns, and --sort engagement ranks by likes + replies*3 + bookmarks*2 — far cheaper on context for ranking passes. Over MCP the search tool returns compact rows by default (compact: false for the full envelope).

License

MIT © Tamas Gabor