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MCP Radar ๐Ÿ›ฐ๏ธ

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MCP Radar ๐Ÿ›ฐ๏ธ

MCP Server quality radar โ€” find the trustworthy MCP server out of 20,000+, and avoid the 98% that nobody ever installs.

Dataset: 19,947 approved MCP servers (scraped from mcp-marketplace.io, 2026-08-25)The problem: 98% of servers have zero installs, 91% pile into "Developer Tools", only 0.1% are paid, and a single server's schema can burn 47K tokens before you even ask a question.

What it does

Works inside any MCP client (Claude Desktop / Cursor / Claude Code / etc.):

  1. search_servers โ€” search high-quality servers by keyword/category, ranked by an open quality score
  2. audit_server โ€” audit any single server before you install: 5-dimension score breakdown, installs, stars, security level, links

Scoring model (out of 100, open & reproducible)

Dimension Weight Meaning
Heat 25% log-normalized install count
Security 25% marketplace security_score
Quality 25% avg rating + creator reputation grade
Activity 15% recency of last update (decay)
Official 10% official/featured bonus (marketplace self-owned excluded to avoid bias)

Quick start

pip install -r requirements.txt    # installs the MCP SDK (mcp==1.29.1)
python mcp_radar_server.py --stats # print dataset stats
python mcp_radar_server.py         # run as a stdio MCP server

Claude Desktop config (claude_desktop_config.json):

{
  "mcpServers": {
    "mcp-radar": {
      "command": "python",
      "args": ["/absolute/path/mcp_radar_server.py"],
      "env": { "PYTHONUNBUFFERED": "1" }
    }
  }
}

Structure

mcp-radar/
โ”œโ”€โ”€ mcp_radar_server.py    # MCP server (official MCP SDK / FastMCP)
โ”œโ”€โ”€ pyproject.toml         # project metadata + pinned mcp==1.29.1
โ”œโ”€โ”€ requirements.txt       # mcp==1.29.1
โ”œโ”€โ”€ README.md
โ”œโ”€โ”€ LAUNCHGUIDE.md         # marketplace onboarding guide
โ””โ”€โ”€ data/
    โ””โ”€โ”€ mcp_radar_data.csv # 19,947 scored servers

Data refresh

Re-scrape the latest data with mcp_radar_extract.py, then copy the generated CSV into data/.

Roadmap

  • Per-server token cost estimation (schema-size proxy)
  • Deep rankings for non-Developer-Tools categories (the underserved niches)
  • Web leaderboard page (GitHub Pages)

License

MIT

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