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UseScraper MCP Server

UseScraper MCPサーバー

鍛冶屋のバッジこれは、UseScraper APIを使用したWebスクレイピング機能を提供するTypeScriptベースのMCPサーバーです。様々な形式のWebページからコンテンツを抽出できるツール「scrape」を公開しています。

特徴

ツール

  • scrape - ウェブページからコンテンツを抽出する

    • パラメータ:

      • url (必須): スクレイピングするウェブページのURL

      • format (オプション): コンテンツを保存する形式(text、html、markdown)。デフォルト: markdown

      • advanced_proxy (オプション): ボット検出を回避するために高度なプロキシを使用します。デフォルト: false

      • extract_object (オプション): 抽出するデータを指定するオブジェクト

Related MCP server: MCP-Typescribe

インストール

Smithery経由でインストール

Smithery経由で Claude Desktop 用の UseScraper を自動的にインストールするには:

npx -y @smithery/cli install usescraper-server --client claude

手動インストール

  1. リポジトリをクローンします。

    git clone https://github.com/your-repo/usescraper-server.git
    cd usescraper-server
  2. 依存関係をインストールします:

    npm install
  3. サーバーを構築します。

    npm run build

構成

Claude Desktop で使用するには、サーバー設定を追加します。

MacOS の場合: ~/Library/Application Support/Claude/claude_desktop_config.json Windows の場合: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "usescraper-server": {
      "command": "node",
      "args": ["/path/to/usescraper-server/build/index.js"],
      "env": {
        "USESCRAPER_API_KEY": "your-api-key-here"
      }
    }
  }
}

/path/to/usescraper-serverサーバーの実際のパスに置き換え、 your-api-key-here UseScraper API キーに置き換えます。

使用法

設定が完了すると、MCPインターフェースから「スクレイプ」ツールを使用できるようになります。使用例:

{
  "name": "scrape",
  "arguments": {
    "url": "https://example.com",
    "format": "markdown"
  }
}

発達

自動リビルドを使用した開発の場合:

npm run watch

デバッグ

MCPサーバーはstdio経由で通信するため、デバッグが困難になる場合があります。パッケージスクリプトとして提供されているMCP Inspectorの使用をお勧めします。

npm run inspector

インスペクターは、ブラウザでデバッグ ツールにアクセスするための URL を提供します。

Available Tools

1 tool
scrapeC

Scrape content from a webpage using UseScraper API

ParametersJSON Schema
NameRequiredDescriptionDefault
urlYesURL to scrape
formatNoFormat to save crawled page content. Strongly recommended to keep as markdown for optimal AI processing (default: markdown)
advanced_proxyNoUse advanced proxy to circumvent bot detection (default: false)
extract_objectNoOptional object specifying data to extract

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description fails to disclose behavioral traits beyond the API name. It does not mention rate limits, authentication, potential failures, or what happens with the proxy option. The schema provides some param hints, but the description adds no behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, concise and front-loaded. It is appropriately sized for a simple tool, though it could include a bit more detail without becoming verbose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 4 parameters, nested objects, and no output schema, the description is too minimal. It does not explain what is returned or how the tool behaves in edge cases, leaving significant gaps for an agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with each parameter described, so the baseline is 3. The description adds minimal extra meaning beyond stating the API, so it meets the baseline without enhancing understanding.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies the action (scrape) and resource (webpage), naming the API used (UseScraper). However, 'scrape' is broad and could be more specific about what types of content or how it extracts, but without siblings it's sufficiently clear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives or any exclusions. The description only states what it does, leaving the agent to infer usage context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool updatev0.1.0
    • First observedscrape

TDQS

B3.2/5.0

Scored across 1 tool

Disambiguation5/5

Only one tool exists, so there is no possibility of confusion with other tools.

Naming Consistency5/5

With a single tool, naming is trivially consistent.

Tool Count3/5

A single tool for web scraping is borderline; it might suffice for basic use but feels thin for a full-featured scraper server.

Completeness3/5

The single scrape tool covers the core functionality, but lacks additional features like selecting specific elements or handling different output formats, which are common in web scraping APIs.

Maintenance

ActivityInactive
ResponsivenessNo issues

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