Jina Fetch MCP Server

@RoadMillion

リポジトリ

基本情報

カテゴリ

ブラウザ自動化

トランスポート

stdio

作者

RoadMillion

投稿者

Tom Victor

Jina Fetch MCP Server について

Convert url to LLM-friendly text, powered by jina ai reader

Jina Fetch MCP Server 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": {
    "jina_fetch": {
      "isActive": true,
      "command": "uvx",
      "args": [
        "mcp-jina-reader@latest"
      ]
    }
  }
}

Jina Fetch MCP Server のツール

Use Jina URL reader to process URLs and return LLM-friendly output

概要

What is Jina_fetch?

Jina_fetch is a standard MCP server that converts URLs into LLM-friendly inputs using Jina AI's API. It is designed for developers who need to feed web content into large language models.

How to use Jina_fetch?

Install by adding the server configuration to your Claude Desktop config file (MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json, Windows: %APPDATA%/Claude/claude_desktop_config.json). Use the reader tool with a mandatory url string parameter to process a URL and return its content.

Key features of Jina_fetch

Converts URLs into LLM-friendly text
Uses Jina AI's URL reader API
Single tool with one required parameter
Standard MCP server for easy integration
Supports development and published deployment

Use cases of Jina_fetch

Feeding web page content into an LLM for summarization
Extracting readable text from URLs for analysis
Providing context from online sources to AI assistants

よくある質問

What does Jina_fetch do?

It takes a URL as input and returns the processed content in a format suitable for large language models, using Jina AI's API.

What are the runtime requirements?

Jina_fetch requires Python and the `uv` package manager. It can be run via `uv` (development) or `uvx` (published).

Where does the data go?

The URL is sent to Jina AI's API for processing; the returned content is delivered back to the MCP client.

What transport does Jina_fetch use?

It communicates over stdio, as is standard for MCP servers.

Are there any known limits?

The README does not specify any limits.

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