scra
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@scrasearch for latest AI news"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
scra
DuckDuckGoによるWeb検索とReadability.jsによるWebフェッチを行うミニマムなMCPサーバー
Usage
git clone https://github.com/dncwolf/scra.git
cd scra && bun installLMStudioなどでの設定:
{
"mcpServers": {
"scra": {
"command": "bun",
"args": ["run", "/path/to/scra/index.ts"]
}
}
}Related MCP server: WebRead MCP
Tools
ツール | 説明 |
| キーワードでDuckDuckGoを検索し、タイトル・URL・スニペットを番号付きで返す |
| URLを指定してページ本文をMarkdown形式( |
挙動の詳細は後述の Spec を参照。
Spec
search
項目 | 仕様 |
入力 |
|
出力 | 1件ごとに |
取得先 |
|
解析 | 結果セレクタ |
エラー | HTTP非2xx(レート制限など)・ナビゲーション失敗、SERP自体が描画されない場合(bot対策ブロックの可能性)は |
fetch
項目 | 仕様 |
入力 |
|
出力 |
|
描画 |
|
エラー | スキーマ違反 / SSRF拒否 / HTTPエラー / Readability抽出失敗 / リダイレクト遮断による到達失敗 / 20秒タイムアウト |
License
WTFPL
This server cannot be deployed
Maintenance
Related MCP Connectors
Web search, URL content extraction to Markdown, site mapping, and recursive web crawler.
Turn any URL into clean Markdown and structured data. Scrape, crawl, search and extract.
LLM-ready web search + instant answers + URL-to-clean-text fetch for agents and RAG.
Web search and page-reading for AI agents. One-click OAuth connect, or a Caesar API key.
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