Skillget

wheel-hub

mcp
Guvenlik Denetimi
Uyari
Health Uyari
  • License — License: MIT
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 5 GitHub stars
Code Uyari
  • process.env — Environment variable access in packages/core/src/github.ts
  • network request — Outbound network request in packages/core/src/github.ts
Permissions Gecti
  • Permissions — No dangerous permissions requested

Bu listing icin henuz AI raporu yok.

SUMMARY

Stop reinventing the wheel. MCP server + CLI that makes AI coding agents search GitHub for existing open-source solutions before implementing — scored 0-100 with adopt/adapt/inspect/avoid verdicts.

README.md

⚙️ wheel-hub

skyzhao1223/wheel-hub MCP server

Stop reinventing the wheel. Search, score and adopt the best open-source solutions — before you write a line of code.

wheel-hub is an MCP server + CLI that makes both AI coding agents and humans check the open-source ecosystem first: given a feature or problem, it finds existing solutions and scores them on popularity, momentum, maintenance and trust, then tells you whether to adopt, adapt, inspect or avoid.

Why

Every developer (and every AI agent) rebuilds auth, schedulers, scrapers and admin panels from scratch — not because better wheels don't exist, but because nobody looks for them first. wheel-hub makes "look first" the default.

Install

MCP server (for Claude Code, opencode, Cursor, …)

npx @wheel-hub/mcp

Claude Code example:

claude mcp add wheel-hub --env GITHUB_TOKEN=ghp_xxx -- npx @wheel-hub/mcp

Generic JSON config example (works in most MCP clients):

{
  "mcpServers": {
    "wheel-hub": {
      "command": "npx",
      "args": ["@wheel-hub/mcp"],
      "env": { "GITHUB_TOKEN": "ghp_xxx" }
    }
  }
}

Note: MCP clients only forward a whitelist of environment variables to servers.
Always pass GITHUB_TOKEN explicitly through the client's env config, or the server
will run unauthenticated at 60 requests/hour and hit rate limits quickly.

Then just ask your agent: "before you implement, use wheel-hub to check what exists for background job scheduling".

CLI (for humans)

# one-off
npx @wheel-hub/cli find "SSO login" --lang typescript
npx @wheel-hub/cli evaluate ollama/ollama

# or install for the `wheel-hub` command
npm i -g @wheel-hub/cli
wheel-hub find "SSO login"

Tools

Tool Description
search_oss Search GitHub for solutions to a problem
evaluate_repo Score one repo (0–100) with a verdict and reasons
compare_alternatives Find alternatives + evaluate each — run this before writing new code

Scoring model

Composite score (0–100) weighted across four dimensions:

  • Popularity (30%) — star mass on a log scale
  • Momentum (25%) — stars/day growth + recency of pushes
  • Maintenance (30%) — commit freshness + issue backlog ratio
  • Trust (15%) — license permissiveness, archived status

Verdicts: ≥75 adopt · ≥55 adapt · ≥35 inspect · <35 / archived avoid

Configuration

GITHUB_TOKEN (optional) — raises the GitHub API rate limit from 60 to 5,000 requests/hour. Strongly recommended for real use; see the MCP config above for how to pass it.

Packages

Package Description
@wheel-hub/core GitHub aggregation + scoring engine
@wheel-hub/mcp MCP server for AI agents
wheel-hub Terminal CLI

Roadmap

  • License fallback for NOASSERTION repos: parse the license file itself (e.g. the kernel's COPYING declares GPL-2.0 but GitHub classifies it as "Other")

  • Awesome-list mining as a secondary signal source

  • Star-history curves via OSSInsight data

  • wheel-hub watch — get notified when your stack's dependencies go stale

  • Score persistence + weekly digest

License

MIT

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