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MCP Jina Ai

@kealuya

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

kealuya

投稿者

Hao Ren

MCP Jina Ai について

MCP-Jina-AI 是一个强大的 MCP（模型控制协议）工具，集成了 Jina.ai 的阅读器服务，可以将网页内容转换为大语言模型（LLM）友好的格式。它提供了一种简单高效的方式，将网页转换为结构化的文本，便于 AI 模型处理。

#mcp#jina#ai#markdown

MCP Jina Ai の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-jina-ai": {
      "command": "mcp-jina-ai"
    }
  }
}

MCP Jina Ai のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Mcp Jina Ai?

Mcp Jina Ai is an MCP server that uses Jina.ai’s free reader service (r.jina.ai) to extract the main content from any web page and return it in a format optimized for large language models.

How to use Mcp Jina Ai?

Install it with go install github.com/kealuya/mcp-jina-ai@latest, then add the provided JSON configuration to your MCP config file and restart the MCP service. Once configured, you invoke the server by providing a URL, and it returns the LLM‑ready content.

Key features of Mcp Jina Ai

  • Installed easily via a single Go command
  • Integrates with Jina.ai’s free reader service
  • Returns web page content optimized for LLMs
  • Simple MCP configuration: just add a JSON block
  • No API key or registration required (service is free)

Use cases of Mcp Jina Ai

  • Extract article text for feeding into an AI assistant
  • Preprocess web content before sending it to a language model
  • Automate the conversion of web pages into clean, LLM‑friendly input

よくある質問

1

How do I install mcp-jina-ai?

Run `go install github.com/kealuya/mcp-jina-ai@latest`. Make sure Go is installed and your `GOPATH` is set in your system’s PATH.

2

How do I configure mcp-jina-ai in my MCP client?

Add the following JSON to your MCP configuration file, then restart the MCP service: `{"mcpServers": {"mcp-jina-ai": {"command": "mcp-jina-ai"}}}`.

3

What does the Jina.ai reader service do?

It extracts the main content from any web page. To use it, prefix the target URL with `r.jina.ai/`. For example: `https://r.jina.ai/https://example.com/article`.

4

What license does mcp-jina-ai use?

It is released under the MIT License.

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